Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos The Altos Labs Institute of Computation (IoC) is seeking an independent and highly motivated Computational Biology Scientist to build, maintain, and support our hybrid AI initiative to model cellular processes. The position will work in a multi-disciplinary research environment to assist investigators in algorithm development and implementation, and will work across the software development life cycle, including software design, coding, testing, deployment, and maintenance. The ideal candidate will be a good communicator and have a growth mindset with an enthusiasm for scientific discovery and strong interest in applying a combination of AI methods and mathematical models toward understanding mechanistic aspects of cellular processes with all experimental labs at Altos Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or data-driven models of biological processes through software development in a highly collaborative environment. This will include: - Exploring and developing ML algorithms to solve complex problems and draw conclusions. Apply state of the art AI tools to infer and model cellular dynamics from large data sets Applying strong coding experience to model development using existing languages(s) and framework(s) Using AI as a tool to answer a scientific question, involved in the research and development aspects - Design and implement pipelines to mechanistically model cellular processes from model instantiation to simulation, calibration, and analysis. Collaborate with other scientists to characterize model behaviors, predictions, refinements, and accelerate the biological knowledge discovery. Developing research programs on partial cellular reprogramming, with the intent of closing the feedback loop between experimental and theoretical work, at multiple scales, from molecules to cells, tissues and even whole organisms. Working at the interface between mathematical and computational models, and AI methods, with the aim of establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda, Docker Hub). Who You Are The ideal candidate will be a strong collaborator with a background in dynamical systems and mathematical modeling of biological systems. Be able to demonstrate significant AI experience / application in conjunction with a working understanding of cell biology and/or biophysics. The level of the position will depend on the qualifications of the selected candidate. Minimum Qualifications - PhD in Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling. Relevant industry and/or academic experience. Expertise and a track record of using methods from artificial intelligence for biological design. Record of applications of dynamical systems to problems of synthetic biology. Record of applications of data driven modeling methods and AI to synthetic biology. Demonstrable experience of developing new statistical and machine learning-based methods for analyzing biological data to produce biological insights about cell health and rejuvenation. Experience working with mechanistic models (PDE/ODE, SDE, dynamical systems). Experience working with state of the art ML tools (transformers, GNN, etc.) Experience working with hybrid AI models (e.g., SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact compensation may vary based on skills, experience, and location.
Jun 09, 2025
Full time
Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos The Altos Labs Institute of Computation (IoC) is seeking an independent and highly motivated Computational Biology Scientist to build, maintain, and support our hybrid AI initiative to model cellular processes. The position will work in a multi-disciplinary research environment to assist investigators in algorithm development and implementation, and will work across the software development life cycle, including software design, coding, testing, deployment, and maintenance. The ideal candidate will be a good communicator and have a growth mindset with an enthusiasm for scientific discovery and strong interest in applying a combination of AI methods and mathematical models toward understanding mechanistic aspects of cellular processes with all experimental labs at Altos Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or data-driven models of biological processes through software development in a highly collaborative environment. This will include: - Exploring and developing ML algorithms to solve complex problems and draw conclusions. Apply state of the art AI tools to infer and model cellular dynamics from large data sets Applying strong coding experience to model development using existing languages(s) and framework(s) Using AI as a tool to answer a scientific question, involved in the research and development aspects - Design and implement pipelines to mechanistically model cellular processes from model instantiation to simulation, calibration, and analysis. Collaborate with other scientists to characterize model behaviors, predictions, refinements, and accelerate the biological knowledge discovery. Developing research programs on partial cellular reprogramming, with the intent of closing the feedback loop between experimental and theoretical work, at multiple scales, from molecules to cells, tissues and even whole organisms. Working at the interface between mathematical and computational models, and AI methods, with the aim of establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda, Docker Hub). Who You Are The ideal candidate will be a strong collaborator with a background in dynamical systems and mathematical modeling of biological systems. Be able to demonstrate significant AI experience / application in conjunction with a working understanding of cell biology and/or biophysics. The level of the position will depend on the qualifications of the selected candidate. Minimum Qualifications - PhD in Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling. Relevant industry and/or academic experience. Expertise and a track record of using methods from artificial intelligence for biological design. Record of applications of dynamical systems to problems of synthetic biology. Record of applications of data driven modeling methods and AI to synthetic biology. Demonstrable experience of developing new statistical and machine learning-based methods for analyzing biological data to produce biological insights about cell health and rejuvenation. Experience working with mechanistic models (PDE/ODE, SDE, dynamical systems). Experience working with state of the art ML tools (transformers, GNN, etc.) Experience working with hybrid AI models (e.g., SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact compensation may vary based on skills, experience, and location.
microTECH Global Limited
Cambridge, Cambridgeshire
Permanent Role Location : Cambridge Hybrid Policy: 3 days onsite and 2 days working from home weekly Role and Responsibilities As anAI Research Scientist, you will be part of a dynamic team working on next-generation machine learning technologies for real-world deployment on consumer devices. Your role will involve: Driving research and development in areas such as on-device large language and vision-language models (LLMs/VLMs), adaptive inference, and efficient mobile ML systems. Contributing to both ongoing research agendas and helping define new directions that push the boundaries of AI on edge devices. Collaborating closely with cross-functional teams across research and product engineering to transition ML innovations from prototypes into production. Designing and developing novel machine learning algorithms and system-level optimizations that enable scalable, high-performance AI experiences on-device. Translating theoretical work into applied solutions and supporting the commercialization of AI technologies for deployment at scale. Preparing technical documentation, contributing to publications, and supporting the creation of patents. Working in a collaborative, growth-oriented environment that values knowledge sharing, innovation, and personal development. We are looking for curious, motivated individuals who thrive in a team setting and are eager to develop innovative AI systems that will have real-world impact. Skills and Qualifications Education & Experience: PhD in Computer Science, Electrical Engineering, or a related field; or equivalent research experience in industry or academia. Open to applicants across a range of seniority levels with relevant expertise. Core Skills: Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX. Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation). Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs, GPUs, and NPUs. Hands-on experience with multi-GPU or distributed training at scale. Strong programming skills in Python, C/C++, and familiarity with Linux-based systems. Competency with tools such as Git and GitHub for version control and collaboration. Strong teamwork and communication skills. Desirable: A strong publication record in top-tier conferences (e.g., NeurIPS, ICLR, ICML, MLSys, MobiSys, ICCAD, MobiCom). If you are interested if you can please apply below or send your CV to
Jun 09, 2025
Full time
Permanent Role Location : Cambridge Hybrid Policy: 3 days onsite and 2 days working from home weekly Role and Responsibilities As anAI Research Scientist, you will be part of a dynamic team working on next-generation machine learning technologies for real-world deployment on consumer devices. Your role will involve: Driving research and development in areas such as on-device large language and vision-language models (LLMs/VLMs), adaptive inference, and efficient mobile ML systems. Contributing to both ongoing research agendas and helping define new directions that push the boundaries of AI on edge devices. Collaborating closely with cross-functional teams across research and product engineering to transition ML innovations from prototypes into production. Designing and developing novel machine learning algorithms and system-level optimizations that enable scalable, high-performance AI experiences on-device. Translating theoretical work into applied solutions and supporting the commercialization of AI technologies for deployment at scale. Preparing technical documentation, contributing to publications, and supporting the creation of patents. Working in a collaborative, growth-oriented environment that values knowledge sharing, innovation, and personal development. We are looking for curious, motivated individuals who thrive in a team setting and are eager to develop innovative AI systems that will have real-world impact. Skills and Qualifications Education & Experience: PhD in Computer Science, Electrical Engineering, or a related field; or equivalent research experience in industry or academia. Open to applicants across a range of seniority levels with relevant expertise. Core Skills: Proficiency with ML frameworks such as PyTorch, TensorFlow, or JAX. Experience in efficient ML techniques (e.g., quantization, pruning, sparsity, distillation). Practical knowledge of AI deployment on embedded/mobile platforms, including CPUs, GPUs, and NPUs. Hands-on experience with multi-GPU or distributed training at scale. Strong programming skills in Python, C/C++, and familiarity with Linux-based systems. Competency with tools such as Git and GitHub for version control and collaboration. Strong teamwork and communication skills. Desirable: A strong publication record in top-tier conferences (e.g., NeurIPS, ICLR, ICML, MLSys, MobiSys, ICCAD, MobiCom). If you are interested if you can please apply below or send your CV to
Analytical Chemistry Specialist - AI Trainer World Wide - Remote Are you an analytical chemistry expert eager to shape the future of AI? Large scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high quality training data, tomorrow's AI can democratize world class education, keep pace with cutting edge research, and streamline lab work for scientists everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for analytical chemistry specialists who live and breathe spectroscopy, chromatography, electrochemical analysis, quantitative chemical analysis, environmental testing, pharmaceutical analysis, and analytical method development. You'll challenge advanced language models on topics like mass spectrometry, HPLC and GC technique optimization, NMR interpretation, method validation, trace analysis, titrimetric methods, and QA/QC protocol design-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on lab scenarios and theoretical analytical chemistry questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in analytical chemistry or a closely related chemical science field is ideal; peer reviewed publications, lab-based method development, regulatory testing, or instrumentation-intensive research signal fit. Clear, metacognitive communication-"showing your work"-is essential. Ready to turn your analytical chemistry expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you'll supply a secure computer and high speed internet; company sponsored benefits such as health insurance and PTO do not apply. Job title: Analytical Chemistry Specialist - AI Trainer Employment type: Contract Workplace type: Remote Seniority level: Mid Senior Level Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select Degree Select Select Start date year End date year What country are you currently a resident of? Select If you are based in USA, please confirm which state you are currently residing in? Select Please select all the languages you are proficient in. Select Proficiency means you can effectively communicate complex ideas, including academic or cognitively challenging topics, both verbally and in writing. This includes the ability to participate in professional conversations, explain nuanced concepts, and understand detailed instructions in the selected language(s) Please select the skills category that best describes your core strengths from the list below. Select Please provide your desired hourly rate in USD Please enter your desired hourly rate in USD as a number only (no symbols, words, or ranges).Decimals are allowed. Do not include $, commas, or text. Example: 8.50 (for $8.50/hour) On average, how many hours per week are you available? Please enter the number of hours you are generally available each week using numbers only . Decimals are allowed. Do not include text or symbols. Example: 40 or 32.5 Please acknowledge that you have read and agree to our Privacy Policy. Yes By clicking "Submit Application", you agree to Invisible's Privacy Policy .
Jun 09, 2025
Full time
Analytical Chemistry Specialist - AI Trainer World Wide - Remote Are you an analytical chemistry expert eager to shape the future of AI? Large scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high quality training data, tomorrow's AI can democratize world class education, keep pace with cutting edge research, and streamline lab work for scientists everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for analytical chemistry specialists who live and breathe spectroscopy, chromatography, electrochemical analysis, quantitative chemical analysis, environmental testing, pharmaceutical analysis, and analytical method development. You'll challenge advanced language models on topics like mass spectrometry, HPLC and GC technique optimization, NMR interpretation, method validation, trace analysis, titrimetric methods, and QA/QC protocol design-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on lab scenarios and theoretical analytical chemistry questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in analytical chemistry or a closely related chemical science field is ideal; peer reviewed publications, lab-based method development, regulatory testing, or instrumentation-intensive research signal fit. Clear, metacognitive communication-"showing your work"-is essential. Ready to turn your analytical chemistry expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you'll supply a secure computer and high speed internet; company sponsored benefits such as health insurance and PTO do not apply. Job title: Analytical Chemistry Specialist - AI Trainer Employment type: Contract Workplace type: Remote Seniority level: Mid Senior Level Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select Degree Select Select Start date year End date year What country are you currently a resident of? Select If you are based in USA, please confirm which state you are currently residing in? Select Please select all the languages you are proficient in. Select Proficiency means you can effectively communicate complex ideas, including academic or cognitively challenging topics, both verbally and in writing. This includes the ability to participate in professional conversations, explain nuanced concepts, and understand detailed instructions in the selected language(s) Please select the skills category that best describes your core strengths from the list below. Select Please provide your desired hourly rate in USD Please enter your desired hourly rate in USD as a number only (no symbols, words, or ranges).Decimals are allowed. Do not include $, commas, or text. Example: 8.50 (for $8.50/hour) On average, how many hours per week are you available? Please enter the number of hours you are generally available each week using numbers only . Decimals are allowed. Do not include text or symbols. Example: 40 or 32.5 Please acknowledge that you have read and agree to our Privacy Policy. Yes By clicking "Submit Application", you agree to Invisible's Privacy Policy .
Put simply, we set the standards by which everything is measured. In doing so, the National Physical Laboratory is helping to combat issues on a global scale such as climate change, curing diseases and the development of cutting-edge communications technology. At NPL, we touch ordinary lives in extraordinary ways and you could too. NPL is looking for a senior expert with demonstrable world-leading experience in Underwater Acoustics to join us as a Principal Scientist. Research drives our business. You will develop and lead your team, setting strategic directions and ensuring your vision is delivered. You'll challenge established methodologies to expand our capabilities, drive collaboration internally and externally, and promote our work through your network. As your work progresses, you will train and develop your team to grow with us. The responsibilities of the Principal Scientist within Underwater Acoustics include: Leading, designing, and executing experimental and theoretical research, including developing novel measurement tools and methods for underwater acoustic applications. Creating a vision for underwater acoustics in the Ultrasound & Underwater Acoustics Group, addressing UK government challenges. Playing a leading role on national and international standards committees, representing NPL and the UK. Engaging with UK and overseas organizations to maintain NPL's position as a leading NMI in underwater acoustics. Responding to commercial and grant-based ITTs and obtaining research funding aligned with NPL's strategic priorities. Consulting with stakeholders to improve methods and develop tools for underwater acoustic applications, ensuring traceability. Collaborating across NPL departments and with external partners to develop new research and service opportunities. Managing science portfolios, including developing proposals, managing projects, and fostering partnerships. Establishing collaborations with industry partners to create innovative research programs and transfer successes to industry. The position is based at NPL's Teddington site, involving occasional travel for customer site visits, measurements, and representing NPL at meetings and events. To be successful, you will be an internationally respected expert in underwater acoustics, with proven experience in: Leading and conducting international research with publications in recognized journals. Developing and contributing to underwater acoustics standards. Developing technical solutions funded by civil and defense sectors. Presenting results through reports, manuscripts, and presentations. Developing and executing business strategies for technical initiatives. Managing large-scale research programs. Leading and motivating scientific staff. You should be an inspirational leader with scientific and commercial awareness, thrive in collaborative environments, and possess the ability to obtain SC clearance. Applications will be reviewed continuously, and the closing date may be brought forward. We encourage interested applicants to apply promptly.
Jun 07, 2025
Full time
Put simply, we set the standards by which everything is measured. In doing so, the National Physical Laboratory is helping to combat issues on a global scale such as climate change, curing diseases and the development of cutting-edge communications technology. At NPL, we touch ordinary lives in extraordinary ways and you could too. NPL is looking for a senior expert with demonstrable world-leading experience in Underwater Acoustics to join us as a Principal Scientist. Research drives our business. You will develop and lead your team, setting strategic directions and ensuring your vision is delivered. You'll challenge established methodologies to expand our capabilities, drive collaboration internally and externally, and promote our work through your network. As your work progresses, you will train and develop your team to grow with us. The responsibilities of the Principal Scientist within Underwater Acoustics include: Leading, designing, and executing experimental and theoretical research, including developing novel measurement tools and methods for underwater acoustic applications. Creating a vision for underwater acoustics in the Ultrasound & Underwater Acoustics Group, addressing UK government challenges. Playing a leading role on national and international standards committees, representing NPL and the UK. Engaging with UK and overseas organizations to maintain NPL's position as a leading NMI in underwater acoustics. Responding to commercial and grant-based ITTs and obtaining research funding aligned with NPL's strategic priorities. Consulting with stakeholders to improve methods and develop tools for underwater acoustic applications, ensuring traceability. Collaborating across NPL departments and with external partners to develop new research and service opportunities. Managing science portfolios, including developing proposals, managing projects, and fostering partnerships. Establishing collaborations with industry partners to create innovative research programs and transfer successes to industry. The position is based at NPL's Teddington site, involving occasional travel for customer site visits, measurements, and representing NPL at meetings and events. To be successful, you will be an internationally respected expert in underwater acoustics, with proven experience in: Leading and conducting international research with publications in recognized journals. Developing and contributing to underwater acoustics standards. Developing technical solutions funded by civil and defense sectors. Presenting results through reports, manuscripts, and presentations. Developing and executing business strategies for technical initiatives. Managing large-scale research programs. Leading and motivating scientific staff. You should be an inspirational leader with scientific and commercial awareness, thrive in collaborative environments, and possess the ability to obtain SC clearance. Applications will be reviewed continuously, and the closing date may be brought forward. We encourage interested applicants to apply promptly.
£48,000 - £64,000 per annum - dependent on experience CPI helps make great ideas and inventions areality. We're ateam of intelligent people using advances in science and technology to solve the biggest global challenges in healthcare and sustainability. Through our incredible people and innovation infrastructure, we collaborate with our partners in industry, academia, government, and the investment community to accelerate the development and commercialisation of innovative products. From health technologies and pharmaceuticals to sustainable food and materials innovations, we turn the entrepreneurial spirit and radical thinking of our people and partners into incredible impact that makes our world abetter place. Why this role is important for CPI'swork CPI has an exciting opportunity for an experienced Principal Scientist to join the established Colloid Science team within the National Formulation Centre based at NETPark in Sedgefield. The Colloids team win and deliver abroad range of commercial and collaborative R & D projects in the area of paints & coatings, agritech, food & feed, FMCG and pharmaceuticals. You will be responsible for providing technical expertise, capability and input contributing to the delivery of projects in the broad area of Colloid Science. You will act as atechnical lead, leading medium and large-scale complex projects ranging from initial proof of concept lasting afew months to multi-year projects/programs. You will draw upon your technical skills and experience to provide carefully thought through advice and expertise to arange of stakeholders across CPI . You will work closely with the Business Development and Bid writing teams to secure new public and privately funded projects in the Colloid Science space. You will have the opportunity to work at the interface of academia and industry, with alarge number of projects, partners, technologies, and market sectors. This variety will give you the opportunity to work on fundamental science/R & D as well as product development and commercialisation. While reporting to the team manager, it is also expected you will work as first line management to asmall number of colleagues (up to 5 ) within the wider team (total team members approx. 20 ), ensuring delivery of departmental goals, through delegation and providing feedback and motivation to team members. This will include working alongside the team manager in managing allocation of resource to ensure project delivery and development of theteam. This role is ideal if you are committed to and actively seek opportunities to develop yourself, can quickly adapt to different aspects of arole and enjoy working in adynamic and collaborative environment. Please use the below links to view some projects the team have delivered: Key tasks in the role will include (but are not limited to the below), please download the job description for full details available on the CPI careers page : To supervise the team, ensuring delivery of departmental goals, through appropriate delegation and providing feedback and motivation to team members. This includes providing first line-management support, allocation of resource to ensure project delivery and short-term planning of deliverables. To undertake line manager activities to ensure the smooth running of the group. This will include: Short term (daily / weekly / monthly) planning of activities and objectives. Assisting the area manager in setting team and individual objectives to meet technology team and company objectives. Supporting the area manager with performance management activities, and leading on these where appropriate. Providing training and coaching to team members to enable delivery of objectives. Act as apoint of contact for team members' queries and escalations. Conduct regular meetings and one to one sessions with team members to ensure good communication across theteam. To identify new technical developments and trends, translate these into building blocks for opportunities across and outside of CPI and initiate the creation of (new) technological innovations/applications. To build, influence and exploit anetwork of relevant (inter)national external stakeholders, customers, partners, research organisations and authorities, to represent CPI as the technical expert in networks and discuss and lobby for projects and future developments. To actively contribute to aculture of continuous capability development within teams, in alignment with company strategy and project deliverables. This will be achieved by coaching and developing colleagues, (both technically and behaviourally) to help them reach their potential and acting as amentor to senior colleagues across the organisation, providing astrategic perspective. To work collaboratively with Business Development and technical colleagues, providing support relating to proposal / project development and direct customer engagement. Seek out and engage in business development opportunities where appropriate. To act as acredible partner to Bid Development teams, actively involved in defining and advising on the technical elements of abid, in order to develop aprogramme ofworks. To set up, plan and execute experimental / pilot scale runs and analyse, interpret, and report the results of these, translating obtained findings and knowledge. The person we are seeking Applications are particularly welcome from candidates with experience in paints & coatings, advanced materials, agritech, food & feed and FMCG . As the team work on projects across multiple sectors, it is highly desirable that candidates have experience in two or more of theseareas. Applications are also welcome from candidates with expertise in pharmaceuticals with aview to involvement in on-going and future projects in, for example, encapsulation of pharmaceutical actives in lipid nanoparticles. Successful candidates will be educated to HNC , Foundation Degree, Degree, master's degree or PhD level (or equivalent) in aScientific/Engineering discipline, plus relevant industrial experience and; Possess significant industrial expertise in Colloid Science as well as compelling evidence of complex technical problem-solving and leadership. Exhibit professional mastery of principles and practices in Colloid Science gained through career to date in area of expertise. Be able to demonstrate evidence of building cross industry and organisational knowledge sharing and network building. Can provide examples of actively building cross-organisation collaboration to achieve desired results. Actively demonstrate in-depth technical and theoretical knowledge of Colloid Science and can participate at ahigh level in more than one area. Is viewed as an authority in at least Colloid Science by peers and managers. Take responsibility for diverse or complex technical activities where it is necessary to use own initiative and judgement, implementing innovative solutions in complex situations. Be flexible and can adapt, simultaneously working on multiple projects and enjoys working in adynamic and collaborative environment, with effective influencing and communication skills. Is arecognised industry expert in Colloid Science, as well as having broader technical knowledge and capability, and ability to apply in avariety of contexts. It is also desirable that candidates have experience with line management responsibilities, supervising asmall team and ensuring delivery of departmental goals. What does CPI offeryou? At CPI , we offer awide range of benefits to our employees, this includes: Up to 36 days holiday, including bank holidays - Plus aholiday purchasing scheme Life assurance and accident insurance schemes CPI is an organisation based in the UK . Commencement of employment is conditional to demonstrating right to work in the UK , sponsorship may be available.
Jun 07, 2025
Full time
£48,000 - £64,000 per annum - dependent on experience CPI helps make great ideas and inventions areality. We're ateam of intelligent people using advances in science and technology to solve the biggest global challenges in healthcare and sustainability. Through our incredible people and innovation infrastructure, we collaborate with our partners in industry, academia, government, and the investment community to accelerate the development and commercialisation of innovative products. From health technologies and pharmaceuticals to sustainable food and materials innovations, we turn the entrepreneurial spirit and radical thinking of our people and partners into incredible impact that makes our world abetter place. Why this role is important for CPI'swork CPI has an exciting opportunity for an experienced Principal Scientist to join the established Colloid Science team within the National Formulation Centre based at NETPark in Sedgefield. The Colloids team win and deliver abroad range of commercial and collaborative R & D projects in the area of paints & coatings, agritech, food & feed, FMCG and pharmaceuticals. You will be responsible for providing technical expertise, capability and input contributing to the delivery of projects in the broad area of Colloid Science. You will act as atechnical lead, leading medium and large-scale complex projects ranging from initial proof of concept lasting afew months to multi-year projects/programs. You will draw upon your technical skills and experience to provide carefully thought through advice and expertise to arange of stakeholders across CPI . You will work closely with the Business Development and Bid writing teams to secure new public and privately funded projects in the Colloid Science space. You will have the opportunity to work at the interface of academia and industry, with alarge number of projects, partners, technologies, and market sectors. This variety will give you the opportunity to work on fundamental science/R & D as well as product development and commercialisation. While reporting to the team manager, it is also expected you will work as first line management to asmall number of colleagues (up to 5 ) within the wider team (total team members approx. 20 ), ensuring delivery of departmental goals, through delegation and providing feedback and motivation to team members. This will include working alongside the team manager in managing allocation of resource to ensure project delivery and development of theteam. This role is ideal if you are committed to and actively seek opportunities to develop yourself, can quickly adapt to different aspects of arole and enjoy working in adynamic and collaborative environment. Please use the below links to view some projects the team have delivered: Key tasks in the role will include (but are not limited to the below), please download the job description for full details available on the CPI careers page : To supervise the team, ensuring delivery of departmental goals, through appropriate delegation and providing feedback and motivation to team members. This includes providing first line-management support, allocation of resource to ensure project delivery and short-term planning of deliverables. To undertake line manager activities to ensure the smooth running of the group. This will include: Short term (daily / weekly / monthly) planning of activities and objectives. Assisting the area manager in setting team and individual objectives to meet technology team and company objectives. Supporting the area manager with performance management activities, and leading on these where appropriate. Providing training and coaching to team members to enable delivery of objectives. Act as apoint of contact for team members' queries and escalations. Conduct regular meetings and one to one sessions with team members to ensure good communication across theteam. To identify new technical developments and trends, translate these into building blocks for opportunities across and outside of CPI and initiate the creation of (new) technological innovations/applications. To build, influence and exploit anetwork of relevant (inter)national external stakeholders, customers, partners, research organisations and authorities, to represent CPI as the technical expert in networks and discuss and lobby for projects and future developments. To actively contribute to aculture of continuous capability development within teams, in alignment with company strategy and project deliverables. This will be achieved by coaching and developing colleagues, (both technically and behaviourally) to help them reach their potential and acting as amentor to senior colleagues across the organisation, providing astrategic perspective. To work collaboratively with Business Development and technical colleagues, providing support relating to proposal / project development and direct customer engagement. Seek out and engage in business development opportunities where appropriate. To act as acredible partner to Bid Development teams, actively involved in defining and advising on the technical elements of abid, in order to develop aprogramme ofworks. To set up, plan and execute experimental / pilot scale runs and analyse, interpret, and report the results of these, translating obtained findings and knowledge. The person we are seeking Applications are particularly welcome from candidates with experience in paints & coatings, advanced materials, agritech, food & feed and FMCG . As the team work on projects across multiple sectors, it is highly desirable that candidates have experience in two or more of theseareas. Applications are also welcome from candidates with expertise in pharmaceuticals with aview to involvement in on-going and future projects in, for example, encapsulation of pharmaceutical actives in lipid nanoparticles. Successful candidates will be educated to HNC , Foundation Degree, Degree, master's degree or PhD level (or equivalent) in aScientific/Engineering discipline, plus relevant industrial experience and; Possess significant industrial expertise in Colloid Science as well as compelling evidence of complex technical problem-solving and leadership. Exhibit professional mastery of principles and practices in Colloid Science gained through career to date in area of expertise. Be able to demonstrate evidence of building cross industry and organisational knowledge sharing and network building. Can provide examples of actively building cross-organisation collaboration to achieve desired results. Actively demonstrate in-depth technical and theoretical knowledge of Colloid Science and can participate at ahigh level in more than one area. Is viewed as an authority in at least Colloid Science by peers and managers. Take responsibility for diverse or complex technical activities where it is necessary to use own initiative and judgement, implementing innovative solutions in complex situations. Be flexible and can adapt, simultaneously working on multiple projects and enjoys working in adynamic and collaborative environment, with effective influencing and communication skills. Is arecognised industry expert in Colloid Science, as well as having broader technical knowledge and capability, and ability to apply in avariety of contexts. It is also desirable that candidates have experience with line management responsibilities, supervising asmall team and ensuring delivery of departmental goals. What does CPI offeryou? At CPI , we offer awide range of benefits to our employees, this includes: Up to 36 days holiday, including bank holidays - Plus aholiday purchasing scheme Life assurance and accident insurance schemes CPI is an organisation based in the UK . Commencement of employment is conditional to demonstrating right to work in the UK , sponsorship may be available.
Invisible Expert Marketplace
Wideopen, Tyne And Wear
Analytical Chemistry Specialist - AI Trainer World Wide - Remote Are you an analytical chemistry expert eager to shape the future of AI? Large scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high quality training data, tomorrow's AI can democratize world class education, keep pace with cutting edge research, and streamline lab work for scientists everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for analytical chemistry specialists who live and breathe spectroscopy, chromatography, electrochemical analysis, quantitative chemical analysis, environmental testing, pharmaceutical analysis, and analytical method development. You'll challenge advanced language models on topics like mass spectrometry, HPLC and GC technique optimization, NMR interpretation, method validation, trace analysis, titrimetric methods, and QA/QC protocol design-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on lab scenarios and theoretical analytical chemistry questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in analytical chemistry or a closely related chemical science field is ideal; peer reviewed publications, lab-based method development, regulatory testing, or instrumentation-intensive research signal fit. Clear, metacognitive communication-"showing your work"-is essential. Ready to turn your analytical chemistry expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you'll supply a secure computer and high speed internet; company sponsored benefits such as health insurance and PTO do not apply. Job title: Analytical Chemistry Specialist - AI Trainer Employment type: Contract Workplace type: Remote Seniority level: Mid Senior Level Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select Degree Select Select Start date year End date year What country are you currently a resident of? Select If you are based in USA, please confirm which state you are currently residing in? Select Please select all the languages you are proficient in. Select Proficiency means you can effectively communicate complex ideas, including academic or cognitively challenging topics, both verbally and in writing. This includes the ability to participate in professional conversations, explain nuanced concepts, and understand detailed instructions in the selected language(s) Please select the skills category that best describes your core strengths from the list below. Select Please provide your desired hourly rate in USD Please enter your desired hourly rate in USD as a number only (no symbols, words, or ranges).Decimals are allowed. Do not include $, commas, or text. Example: 8.50 (for $8.50/hour) On average, how many hours per week are you available? Please enter the number of hours you are generally available each week using numbers only . Decimals are allowed. Do not include text or symbols. Example: 40 or 32.5 Please acknowledge that you have read and agree to our Privacy Policy. Yes By clicking "Submit Application", you agree to Invisible's Privacy Policy .
Jun 04, 2025
Full time
Analytical Chemistry Specialist - AI Trainer World Wide - Remote Are you an analytical chemistry expert eager to shape the future of AI? Large scale language models are evolving from clever chatbots into powerful engines of scientific discovery. With high quality training data, tomorrow's AI can democratize world class education, keep pace with cutting edge research, and streamline lab work for scientists everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for analytical chemistry specialists who live and breathe spectroscopy, chromatography, electrochemical analysis, quantitative chemical analysis, environmental testing, pharmaceutical analysis, and analytical method development. You'll challenge advanced language models on topics like mass spectrometry, HPLC and GC technique optimization, NMR interpretation, method validation, trace analysis, titrimetric methods, and QA/QC protocol design-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on lab scenarios and theoretical analytical chemistry questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A PhD in analytical chemistry or a closely related chemical science field is ideal; peer reviewed publications, lab-based method development, regulatory testing, or instrumentation-intensive research signal fit. Clear, metacognitive communication-"showing your work"-is essential. Ready to turn your analytical chemistry expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you'll supply a secure computer and high speed internet; company sponsored benefits such as health insurance and PTO do not apply. Job title: Analytical Chemistry Specialist - AI Trainer Employment type: Contract Workplace type: Remote Seniority level: Mid Senior Level Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School Select Degree Select Select Start date year End date year What country are you currently a resident of? Select If you are based in USA, please confirm which state you are currently residing in? Select Please select all the languages you are proficient in. Select Proficiency means you can effectively communicate complex ideas, including academic or cognitively challenging topics, both verbally and in writing. This includes the ability to participate in professional conversations, explain nuanced concepts, and understand detailed instructions in the selected language(s) Please select the skills category that best describes your core strengths from the list below. Select Please provide your desired hourly rate in USD Please enter your desired hourly rate in USD as a number only (no symbols, words, or ranges).Decimals are allowed. Do not include $, commas, or text. Example: 8.50 (for $8.50/hour) On average, how many hours per week are you available? Please enter the number of hours you are generally available each week using numbers only . Decimals are allowed. Do not include text or symbols. Example: 40 or 32.5 Please acknowledge that you have read and agree to our Privacy Policy. Yes By clicking "Submit Application", you agree to Invisible's Privacy Policy .
King's College London is an internationally renowned university delivering exceptional education and world-leading research. We are dedicated to driving positive and sustainable change in society and realising our vision of making the world a better place. We are delighted to announce exciting new opportunities to join our dynamic and interdisciplinary scientific community, as part of a major cross-faculty investment in science focused on boundary-breaking research, education and innovation. We are looking for interdisciplinary scientists focused on applying and integrating physical and life sciences approaches to understand the complexity of living systems and enable technologies seeking to engineer biology. This includes combining empirical, theoretical and computational/AI methods from different disciplines and across scales, spanning molecules, cells, organs, organisms and populations. Successful candidates will play a key role in developing and executing internationally leading research and work collaboratively across King's. You will have a strong research track record, demonstrating interdisciplinary engagement, and be ready to grow a research programme that attracts external funding. You will also be committed to educating scientists and researchers of the future through a range of interdisciplinary undergraduate and postgraduate degree programmes. We also wish to maximise the relevance of our work to society through high impact research through engagement with industry and public engagement that engages diverse audiences, especially in our local communities in London and beyond. It is important that King's reflects the diversity of the population we serve, and we strongly encourage applications from candidates of all backgrounds. Shortlisted candidates will be consulted on appropriate discipline areas and host departments as part of the selection and interview process. There are up to 2 positions available. These are full-time positions and you will be offered an indefinite contract. To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria (Lecturer) PhD qualified in relevant subject area Scientific synergy with current research at King's Significant expertise in an area of scientific research Demonstrable contribution to developing peer reviewed funding/fellowship applications Ability to define and lead a research area, taking responsibility for planning and undertaking own work Ability to work well as an effective member of a wider multi-disciplinary team and to share and encourage good practice Excellent record of publication in peer reviewed journals Experience of undergraduate and/or post graduate teaching Strong presentational, organisational and administrative skills Desirable criteria (Lecturer) Experience of interdisciplinary working in collaborative projects across disciplines Record of attracting independent peer reviewed research grant funding Experience in supervising and developing research students and/or staff Essential criteria (Senior Lecturer) PhD qualified in relevant subject area Scientific synergy with current research at King's Significant expertise in an area of interdisciplinary scientific research Strong record of attracting peer reviewed research grant funding or fellowships Ability to define and lead a research area, taking responsibility for planning and undertaking own work Ability to work well as an effective member of a wider multi-disciplinary team and to share and encourage good practice Excellent record of publication in peer reviewed journals Significant experience of undergraduate and/or post graduate teaching Strong presentational, organisational and administrative skills Experience in supervising and developing research students and/or research staff Desirable criteria (Senior Lecturer) Track record of interdisciplinary working in collaborative projects across disciplines Experience of serving on professional scientific boards and committees Active membership of peer-reviewing bodies, for UK and overseas research councils Experience of industrial/commercial funding opportunities to underpin applied research Applications should include: A1 page cover letter highlighting your key scientific contributions, a brief summary of future plans and fit with King's. Please also indicate which departments/faculties you feel that you best align with A CV with a full publication list A research statement (up to 2 pages) A teaching statement (up to 1 page) Details of three academic referees, including one from your current or most recent employer. Should you be shortlisted, letters of recommendation will be sought ahead of the interview from two of your references. The third reference, from your current employer, will only be requested with your consent. We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our 'How we Recruit' pages. We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK. Closing date: 6 th April 2025. Contact details: Professor Michael Malim.
Mar 06, 2025
Full time
King's College London is an internationally renowned university delivering exceptional education and world-leading research. We are dedicated to driving positive and sustainable change in society and realising our vision of making the world a better place. We are delighted to announce exciting new opportunities to join our dynamic and interdisciplinary scientific community, as part of a major cross-faculty investment in science focused on boundary-breaking research, education and innovation. We are looking for interdisciplinary scientists focused on applying and integrating physical and life sciences approaches to understand the complexity of living systems and enable technologies seeking to engineer biology. This includes combining empirical, theoretical and computational/AI methods from different disciplines and across scales, spanning molecules, cells, organs, organisms and populations. Successful candidates will play a key role in developing and executing internationally leading research and work collaboratively across King's. You will have a strong research track record, demonstrating interdisciplinary engagement, and be ready to grow a research programme that attracts external funding. You will also be committed to educating scientists and researchers of the future through a range of interdisciplinary undergraduate and postgraduate degree programmes. We also wish to maximise the relevance of our work to society through high impact research through engagement with industry and public engagement that engages diverse audiences, especially in our local communities in London and beyond. It is important that King's reflects the diversity of the population we serve, and we strongly encourage applications from candidates of all backgrounds. Shortlisted candidates will be consulted on appropriate discipline areas and host departments as part of the selection and interview process. There are up to 2 positions available. These are full-time positions and you will be offered an indefinite contract. To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria (Lecturer) PhD qualified in relevant subject area Scientific synergy with current research at King's Significant expertise in an area of scientific research Demonstrable contribution to developing peer reviewed funding/fellowship applications Ability to define and lead a research area, taking responsibility for planning and undertaking own work Ability to work well as an effective member of a wider multi-disciplinary team and to share and encourage good practice Excellent record of publication in peer reviewed journals Experience of undergraduate and/or post graduate teaching Strong presentational, organisational and administrative skills Desirable criteria (Lecturer) Experience of interdisciplinary working in collaborative projects across disciplines Record of attracting independent peer reviewed research grant funding Experience in supervising and developing research students and/or staff Essential criteria (Senior Lecturer) PhD qualified in relevant subject area Scientific synergy with current research at King's Significant expertise in an area of interdisciplinary scientific research Strong record of attracting peer reviewed research grant funding or fellowships Ability to define and lead a research area, taking responsibility for planning and undertaking own work Ability to work well as an effective member of a wider multi-disciplinary team and to share and encourage good practice Excellent record of publication in peer reviewed journals Significant experience of undergraduate and/or post graduate teaching Strong presentational, organisational and administrative skills Experience in supervising and developing research students and/or research staff Desirable criteria (Senior Lecturer) Track record of interdisciplinary working in collaborative projects across disciplines Experience of serving on professional scientific boards and committees Active membership of peer-reviewing bodies, for UK and overseas research councils Experience of industrial/commercial funding opportunities to underpin applied research Applications should include: A1 page cover letter highlighting your key scientific contributions, a brief summary of future plans and fit with King's. Please also indicate which departments/faculties you feel that you best align with A CV with a full publication list A research statement (up to 2 pages) A teaching statement (up to 1 page) Details of three academic referees, including one from your current or most recent employer. Should you be shortlisted, letters of recommendation will be sought ahead of the interview from two of your references. The third reference, from your current employer, will only be requested with your consent. We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our 'How we Recruit' pages. We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK. Closing date: 6 th April 2025. Contact details: Professor Michael Malim.
Research Assistant We are seeking two Research Assistants to support the agile delivery of high quality, impactful autism research. Join a pioneering research team and help shape the future for autistic people. Position: Research Assistant (2 posts) Salary: £30,000-£37,500 per annum Location: UK-based (remote with occasional travel) Hours: Full-time (4-day working week) Contract: Fixed-term, April 2025 September 2026 Closing Date: 23:59, Thursday 06 March 2025 Interviews : 10-21 March 2025. About the Role: As Research Assistant you will support high-impact research projects focused on improving the lives of autistic people. Working alongside the Director of Research, senior research leads, and external partners, you will contribute to studies that support autistic individuals and their families, enhance employment opportunities, create neuro-inclusive spaces, inform evidence-based treatments for anxiety, and help change societal attitudes towards autism. Each Research Assistant will lead one key project while contributing to a range of other impactful studies. This is an exciting opportunity to use your expertise in mixed methods research and neuro-divergence to drive meaningful change. Key responsibilities include: Conducting applied research on autism, ADHD, and co-occurring conditions. Designing and delivering research using mixed methods, e.g., Delphi approaches, surveys, interviews, and focus groups. Using statistical analysis (R, SPSS, STATA) to generate insights. Write research reports for stakeholders from different audiences. Engaging with community advisors and industry partners to shape research outcomes. Managing project milestones, deliverables, and targets in an agile research environment. About You: This role is perfect for someone who thrives in a collaborative, fast-paced setting and is passionate about driving evidence-based change for the neuro-divergent community. We are looking for motivated and skilled researchers with a passion for neurodiversity research. Essential skills and experience include: A postgraduate degree in Psychology, Sociology, Health, Social Care, or Mental Health (fully awarded). At least two years of experience in a research assistant role. Strong theoretical understanding of the key topics, issues and intersectional factors affecting life outcomes of autistic people. Strong knowledge of autism and neurodiversity research methods. Experience of delivering mixed methods research and high-quality study design. Proficiency in statistical analysis and data science (using R, SPSS, or STATA). Ability to manage multiple research projects, ensuring key milestones are met. Excellent collaboration skills, particularly in community co-production and stakeholder engagement. A self-motivated, meticulous, and adaptable approach to research. If you are passionate about advancing autism research and committed to evidence-based advocacy, we would love to hear from you. About the Organisation: You will be working for the UK s leading autism research charity. They collaborate with neurodivergent communities, researchers, the NHS, and industry partners to drive breakthroughs that enable autistic people to live happier, healthier, and longer lives. Research focuses on transforming employment opportunities, improving mental health support, and creating truly inclusive environments. The charity are committed to diversity, equity, and inclusion and encourage applicants from underrepresented backgrounds. If you need any reasonable adjustments during the recruitment process, please let us know. Other roles you may have experience of could include: Research Officer, Data Analyst, Social Science Researcher, Behavioural Scientist, or Clinical Research Coordinator. PLEASE NOTE: This role is being advertised by NFP People on behalf of the organisation.
Mar 06, 2025
Contractor
Research Assistant We are seeking two Research Assistants to support the agile delivery of high quality, impactful autism research. Join a pioneering research team and help shape the future for autistic people. Position: Research Assistant (2 posts) Salary: £30,000-£37,500 per annum Location: UK-based (remote with occasional travel) Hours: Full-time (4-day working week) Contract: Fixed-term, April 2025 September 2026 Closing Date: 23:59, Thursday 06 March 2025 Interviews : 10-21 March 2025. About the Role: As Research Assistant you will support high-impact research projects focused on improving the lives of autistic people. Working alongside the Director of Research, senior research leads, and external partners, you will contribute to studies that support autistic individuals and their families, enhance employment opportunities, create neuro-inclusive spaces, inform evidence-based treatments for anxiety, and help change societal attitudes towards autism. Each Research Assistant will lead one key project while contributing to a range of other impactful studies. This is an exciting opportunity to use your expertise in mixed methods research and neuro-divergence to drive meaningful change. Key responsibilities include: Conducting applied research on autism, ADHD, and co-occurring conditions. Designing and delivering research using mixed methods, e.g., Delphi approaches, surveys, interviews, and focus groups. Using statistical analysis (R, SPSS, STATA) to generate insights. Write research reports for stakeholders from different audiences. Engaging with community advisors and industry partners to shape research outcomes. Managing project milestones, deliverables, and targets in an agile research environment. About You: This role is perfect for someone who thrives in a collaborative, fast-paced setting and is passionate about driving evidence-based change for the neuro-divergent community. We are looking for motivated and skilled researchers with a passion for neurodiversity research. Essential skills and experience include: A postgraduate degree in Psychology, Sociology, Health, Social Care, or Mental Health (fully awarded). At least two years of experience in a research assistant role. Strong theoretical understanding of the key topics, issues and intersectional factors affecting life outcomes of autistic people. Strong knowledge of autism and neurodiversity research methods. Experience of delivering mixed methods research and high-quality study design. Proficiency in statistical analysis and data science (using R, SPSS, or STATA). Ability to manage multiple research projects, ensuring key milestones are met. Excellent collaboration skills, particularly in community co-production and stakeholder engagement. A self-motivated, meticulous, and adaptable approach to research. If you are passionate about advancing autism research and committed to evidence-based advocacy, we would love to hear from you. About the Organisation: You will be working for the UK s leading autism research charity. They collaborate with neurodivergent communities, researchers, the NHS, and industry partners to drive breakthroughs that enable autistic people to live happier, healthier, and longer lives. Research focuses on transforming employment opportunities, improving mental health support, and creating truly inclusive environments. The charity are committed to diversity, equity, and inclusion and encourage applicants from underrepresented backgrounds. If you need any reasonable adjustments during the recruitment process, please let us know. Other roles you may have experience of could include: Research Officer, Data Analyst, Social Science Researcher, Behavioural Scientist, or Clinical Research Coordinator. PLEASE NOTE: This role is being advertised by NFP People on behalf of the organisation.
At Anaplan, we are a team of innovators who are focused on optimizing business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies that rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals and we have fun celebrating our wins. Anaplan is looking for a tenacious Senior Data Scientist to join our PlanIQ. This is a stellar opportunity to get involved in a highly visible, large scale SaaS cloud company. This role is an immediate full-time position. If you're ready to roll up your sleeves and tackle unique problems that no one else is solving, keep reading. Insight on your impact Our PlanIQ Group is responsible for the majority of time-based forecasting algorithmic core of Anaplan's platform. We create AI based solutions available to Anaplan's non-data scientist customers by developing engines that connect to customer data (without too many configurations or manual pre-process steps) and provide forecasts, predictions, and relevant insights. Our ownership ranges from innovative idea inception through POC, to its implementation within customer facing products. Development includes working with cutting edge machine learning, deep learning and data manipulation techniques, data analysis and coding a wide variety of features to deal with different data types and meet the customer needs. Among our current challenges are building time series forecast engines, predictive models, enhance user's experience using AI/ML, big data text mining/analysis as well as statistical challenges and maintaining high algorithm performance and accuracy. We are looking for a talented and highly motivated Senior Data Scientist to join our team. You will work on one of the top focus projects in the company, influencing the direction of research and development of the entire project. Be an integral part of the PlanIQ Team. This includes research, new ideas, POCs and writing code to production at scale. Working together with the other team's data scientists, ML engineers, backend, and frontend developers. Your day will have a mixture of all domains: data pre-processing and post-processing, machine learning, deep learning, time-series algorithms, explainability methods and more, using Python packages (including Scikit-Learn, Pandas, NumPy, NLTK, etc.). Preferred skills and technical familiarity At least 4 years of proven experience in Data Science. Sc./M.Sc. from a leading university, or equivalent experience. Applied experience in Time-Series Forecasting including in production environment. Theoretical knowledge in other data science domains - Machine Learning (decision trees, linear regression, clustering and more), Deep Learning, statistics, etc. Developing and design capabilities (Python), understanding of object-oriented programming. Experience with machine learning-based solutions in production is an advantage. Experience with SQL and databases is an advantage. Our Commitment to Diversity, Equity, Inclusion and Belonging Build your career in a place that thrives on diversity, equity, inclusion, and belonging. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Feb 17, 2025
Full time
At Anaplan, we are a team of innovators who are focused on optimizing business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies that rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals and we have fun celebrating our wins. Anaplan is looking for a tenacious Senior Data Scientist to join our PlanIQ. This is a stellar opportunity to get involved in a highly visible, large scale SaaS cloud company. This role is an immediate full-time position. If you're ready to roll up your sleeves and tackle unique problems that no one else is solving, keep reading. Insight on your impact Our PlanIQ Group is responsible for the majority of time-based forecasting algorithmic core of Anaplan's platform. We create AI based solutions available to Anaplan's non-data scientist customers by developing engines that connect to customer data (without too many configurations or manual pre-process steps) and provide forecasts, predictions, and relevant insights. Our ownership ranges from innovative idea inception through POC, to its implementation within customer facing products. Development includes working with cutting edge machine learning, deep learning and data manipulation techniques, data analysis and coding a wide variety of features to deal with different data types and meet the customer needs. Among our current challenges are building time series forecast engines, predictive models, enhance user's experience using AI/ML, big data text mining/analysis as well as statistical challenges and maintaining high algorithm performance and accuracy. We are looking for a talented and highly motivated Senior Data Scientist to join our team. You will work on one of the top focus projects in the company, influencing the direction of research and development of the entire project. Be an integral part of the PlanIQ Team. This includes research, new ideas, POCs and writing code to production at scale. Working together with the other team's data scientists, ML engineers, backend, and frontend developers. Your day will have a mixture of all domains: data pre-processing and post-processing, machine learning, deep learning, time-series algorithms, explainability methods and more, using Python packages (including Scikit-Learn, Pandas, NumPy, NLTK, etc.). Preferred skills and technical familiarity At least 4 years of proven experience in Data Science. Sc./M.Sc. from a leading university, or equivalent experience. Applied experience in Time-Series Forecasting including in production environment. Theoretical knowledge in other data science domains - Machine Learning (decision trees, linear regression, clustering and more), Deep Learning, statistics, etc. Developing and design capabilities (Python), understanding of object-oriented programming. Experience with machine learning-based solutions in production is an advantage. Experience with SQL and databases is an advantage. Our Commitment to Diversity, Equity, Inclusion and Belonging Build your career in a place that thrives on diversity, equity, inclusion, and belonging. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Put simply, we set the standards by which everything is measured. In doing so, the National Physical Laboratory is helping to combat issues on a global scale such as climate change, curing diseases and the development of cutting-edge communications technology. At NPL, we touch ordinary lives in extraordinary ways and you could too. NPL is looking for a senior expert with demonstrable world leading experience in Underwater Acoustics to join us as a Principal Scientist. Research is what drives our business. And it will be up to you to develop and lead your team, setting your technical area's strategic direction and ensuring your vision is delivered. When it comes to solutions, you don't just rely on established methodologies. To get the results you seek, you're willing to challenge what we do and how we do it, so that we're expanding our capability. In doing so, you'll be able to drive collaboration - internally and externally - to enhance activity and optimise commercial opportunities. Your passion for your work means you already have a great network through which you'll promote our work, representing NPL and speaking wherever you're needed. As your work progresses, and new learnings established, you'll make sure you bring the team with you - training and developing them so that they grow with us. Responsibilities The responsibilities of the Principal Scientist within Underwater Acoustics will include: Leading, designing and executing experimental and theoretical research including development of novel measurement tools and methods in support of current and future underwater acoustic applications. Creating a vision for the underwater acoustics in the Ultrasound & Underwater Acoustics Group, addressing UK government challenges for the underwater acoustics area. Playing a leading role on national and international standards committees, representing NPL and the UK at international meetings. Leading and fostering the team's engagement with UK and overseas organisations (other National Metrology Institutes, UK Government, Academia and Commercial Customers) to maintain NPL position as a leading NMI in underwater acoustics. Responding to commercial and grant-based ITTs and obtaining research funding for this area aligned with NPL strategic priorities. Consulting and working in partnership with internal and external stakeholders to determine how NPL can provide support to improve the quality of methods and tools used for underwater acoustic applications, and develop tools and methods for future applications that require traceability. Working in partnership with other NPL departments, and collaborating across NPL to develop new opportunities and to develop new research and service opportunities including establishment of mutually beneficial collaborations and nurturing of existing partnerships. Planning and management of science portfolio, including development of project proposals, management of projects to achieve results in accordance with milestone schedules and within budget, and development of partnerships with other internal and external partners. Working with industry partners to establish formal collaborative agreements to create innovative, high-impact research programs, and transfer their successes directly to industry. The position will be based at NPL's Teddington site, involving occasional travel, such as customer site visits, in situ measurements work and representing NPL at national and international meetings, conferences and events. Qualifications To be successful in the role, you will be sought out and internationally respected by the underwater acoustics community for your expertise and have: Proven experience winning, leading and conducting international research work with published articles in internationally recognised scientific journals. Experience leading national and international standards development, or a track record contributing to underwater acoustics standards. Track record developing and implementing technical solutions in underwater acoustics funded by the civil and/or defence sectors. Track record presenting results in the form of reports, manuscripts, oral presentations. Experience developing and executing business strategy to commercial and technical initiatives. Experience managing full life cycle of large scale research programs. Demonstrable experience leading and motivating scientific and technical staff. To lead and inspire a scientific team, not only will you need to be a leading expert in your field, you'll also need experience of motivating a team. Inspirational, influential and a relationship builder, you have the scientific and commercial awareness to help NPL achieve our ambitions. Beyond that, we're looking for someone who'll thrive in an environment like ours. At NPL we learn from each other, respect each other and work together to do better. For ourselves and for our customers. And whilst we're always looking to stretch beyond what we know, we don't make things more complicated when there's no need. We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. To work in this role at NPL, you will need to have an SC clearance, or you must have the ability to obtain an SC clearance. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as practical.
Feb 14, 2025
Full time
Put simply, we set the standards by which everything is measured. In doing so, the National Physical Laboratory is helping to combat issues on a global scale such as climate change, curing diseases and the development of cutting-edge communications technology. At NPL, we touch ordinary lives in extraordinary ways and you could too. NPL is looking for a senior expert with demonstrable world leading experience in Underwater Acoustics to join us as a Principal Scientist. Research is what drives our business. And it will be up to you to develop and lead your team, setting your technical area's strategic direction and ensuring your vision is delivered. When it comes to solutions, you don't just rely on established methodologies. To get the results you seek, you're willing to challenge what we do and how we do it, so that we're expanding our capability. In doing so, you'll be able to drive collaboration - internally and externally - to enhance activity and optimise commercial opportunities. Your passion for your work means you already have a great network through which you'll promote our work, representing NPL and speaking wherever you're needed. As your work progresses, and new learnings established, you'll make sure you bring the team with you - training and developing them so that they grow with us. Responsibilities The responsibilities of the Principal Scientist within Underwater Acoustics will include: Leading, designing and executing experimental and theoretical research including development of novel measurement tools and methods in support of current and future underwater acoustic applications. Creating a vision for the underwater acoustics in the Ultrasound & Underwater Acoustics Group, addressing UK government challenges for the underwater acoustics area. Playing a leading role on national and international standards committees, representing NPL and the UK at international meetings. Leading and fostering the team's engagement with UK and overseas organisations (other National Metrology Institutes, UK Government, Academia and Commercial Customers) to maintain NPL position as a leading NMI in underwater acoustics. Responding to commercial and grant-based ITTs and obtaining research funding for this area aligned with NPL strategic priorities. Consulting and working in partnership with internal and external stakeholders to determine how NPL can provide support to improve the quality of methods and tools used for underwater acoustic applications, and develop tools and methods for future applications that require traceability. Working in partnership with other NPL departments, and collaborating across NPL to develop new opportunities and to develop new research and service opportunities including establishment of mutually beneficial collaborations and nurturing of existing partnerships. Planning and management of science portfolio, including development of project proposals, management of projects to achieve results in accordance with milestone schedules and within budget, and development of partnerships with other internal and external partners. Working with industry partners to establish formal collaborative agreements to create innovative, high-impact research programs, and transfer their successes directly to industry. The position will be based at NPL's Teddington site, involving occasional travel, such as customer site visits, in situ measurements work and representing NPL at national and international meetings, conferences and events. Qualifications To be successful in the role, you will be sought out and internationally respected by the underwater acoustics community for your expertise and have: Proven experience winning, leading and conducting international research work with published articles in internationally recognised scientific journals. Experience leading national and international standards development, or a track record contributing to underwater acoustics standards. Track record developing and implementing technical solutions in underwater acoustics funded by the civil and/or defence sectors. Track record presenting results in the form of reports, manuscripts, oral presentations. Experience developing and executing business strategy to commercial and technical initiatives. Experience managing full life cycle of large scale research programs. Demonstrable experience leading and motivating scientific and technical staff. To lead and inspire a scientific team, not only will you need to be a leading expert in your field, you'll also need experience of motivating a team. Inspirational, influential and a relationship builder, you have the scientific and commercial awareness to help NPL achieve our ambitions. Beyond that, we're looking for someone who'll thrive in an environment like ours. At NPL we learn from each other, respect each other and work together to do better. For ourselves and for our customers. And whilst we're always looking to stretch beyond what we know, we don't make things more complicated when there's no need. We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. To work in this role at NPL, you will need to have an SC clearance, or you must have the ability to obtain an SC clearance. Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert therefore we may at any time bring the closing date forward. We encourage all interested applicants to apply as soon as practical.
Control Team Our team's focus is on ensuring that even if frontier AI systems are misaligned, they can be effectively controlled . To achieve this, we are attempting to advance the state of conceptual research into control protocols and corresponding safety cases. Additionally, we will conduct realistic empirical research on mock frontier AI development infrastructure, helping to identify flaws in theoretical approaches and refine them accordingly. Role Summary As the lead research scientist on Control, you'll lead the conceptual and theoretical research efforts on control. Your team will initially include 3-4 research scientists, including researchers with existing experience in the control agenda and/or experience at frontier labs. Your responsibilities will encompass setting the research direction & agenda, ambitiously advancing the state of control research, as well as managing and developing an exceptional team. The ultimate goal is to make substantial improvements in the robustness of control protocols across major labs, particularly as we progress towards AGI. The role will involve close collaboration with our research directors, including Geoffrey Irving and Yarin Gal , and work hand-in-hand with the Control empirics team. The empirics team will support your efforts by building realistic control settings that closely mimic the infrastructure and codebases used for frontier AI development, and by helping to develop empirical experiments. Research partnerships and collaborations with many of the leading frontier AI labs will also be a significant part of your role. From a compute perspective, you will have excellent access to resources from both our research platform team and the UK's Isambard supercomputer (5,000 H100s). Person Specification You may be a good fit if you have some of the following skills, experience and attitudes. Please note that you don't need to meet all of these criteria, and if you're unsure, we encourage you to apply. Experience leading a research team or group that has delivered exceptional research in deep learning or a related field. Comprehensive understanding of frontier AI development, including key processes involved in research, data collection & generation, pre-training, post-training and safety assessment. Proven track record of academic excellence, demonstrated by novel research contributions and spotlight papers at top-tier conferences (e.g., NeurIPS, ICML, ICLR). Exceptional written and verbal communication skills, with the ability to convey complex ideas clearly and effectively to diverse audiences. Extensive experience in collaborating with multi-disciplinary teams, including researchers and engineers, and leading high-impact projects. A strong desire to improve the global state of AI safety. While existing experience working on control is desired, it is not a requirement for this role. Salary & Benefits We are hiring individuals at the more senior ranges of the following scale (L5-L7). Your dedicated talent partner will work with you as you move through our assessment process to explain our internal benchmarking process. The full range of salaries are available below, salaries comprise of a base salary, technical allowance plus additional benefits as detailed on this page. Level 3 - Total Package £65,000 - £75,000 inclusive of a base salary £35,720 plus additional technical talent allowance of between £29,280 - £39,280 Level 4 - Total Package £85,000 - £95,000 inclusive of a base salary £42,495 plus additional technical talent allowance of between £42,505 - £52,505 Level 5 - Total Package £105,000 - £115,000 inclusive of a base salary £55,805 plus additional technical talent allowance of between £49,195 - £59,195 Level 6 - Total Package £125,000 - £135,000 inclusive of a base salary £68,770 plus additional technical talent allowance of between £56,230 - £66,230 Level 7 - Total Package £145,000 inclusive of a base salary £68,770 plus additional technical talent allowance of £76,230 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience We select based on skills and experience regarding the following areas: Research problem selection Research science Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching Desired Experience We additionally may factor in experience with any of the areas that our work-streams specialise in: Autonomous systems Cyber security Chemistry or Biology Safeguards Safety Cases Societal Impacts
Feb 11, 2025
Full time
Control Team Our team's focus is on ensuring that even if frontier AI systems are misaligned, they can be effectively controlled . To achieve this, we are attempting to advance the state of conceptual research into control protocols and corresponding safety cases. Additionally, we will conduct realistic empirical research on mock frontier AI development infrastructure, helping to identify flaws in theoretical approaches and refine them accordingly. Role Summary As the lead research scientist on Control, you'll lead the conceptual and theoretical research efforts on control. Your team will initially include 3-4 research scientists, including researchers with existing experience in the control agenda and/or experience at frontier labs. Your responsibilities will encompass setting the research direction & agenda, ambitiously advancing the state of control research, as well as managing and developing an exceptional team. The ultimate goal is to make substantial improvements in the robustness of control protocols across major labs, particularly as we progress towards AGI. The role will involve close collaboration with our research directors, including Geoffrey Irving and Yarin Gal , and work hand-in-hand with the Control empirics team. The empirics team will support your efforts by building realistic control settings that closely mimic the infrastructure and codebases used for frontier AI development, and by helping to develop empirical experiments. Research partnerships and collaborations with many of the leading frontier AI labs will also be a significant part of your role. From a compute perspective, you will have excellent access to resources from both our research platform team and the UK's Isambard supercomputer (5,000 H100s). Person Specification You may be a good fit if you have some of the following skills, experience and attitudes. Please note that you don't need to meet all of these criteria, and if you're unsure, we encourage you to apply. Experience leading a research team or group that has delivered exceptional research in deep learning or a related field. Comprehensive understanding of frontier AI development, including key processes involved in research, data collection & generation, pre-training, post-training and safety assessment. Proven track record of academic excellence, demonstrated by novel research contributions and spotlight papers at top-tier conferences (e.g., NeurIPS, ICML, ICLR). Exceptional written and verbal communication skills, with the ability to convey complex ideas clearly and effectively to diverse audiences. Extensive experience in collaborating with multi-disciplinary teams, including researchers and engineers, and leading high-impact projects. A strong desire to improve the global state of AI safety. While existing experience working on control is desired, it is not a requirement for this role. Salary & Benefits We are hiring individuals at the more senior ranges of the following scale (L5-L7). Your dedicated talent partner will work with you as you move through our assessment process to explain our internal benchmarking process. The full range of salaries are available below, salaries comprise of a base salary, technical allowance plus additional benefits as detailed on this page. Level 3 - Total Package £65,000 - £75,000 inclusive of a base salary £35,720 plus additional technical talent allowance of between £29,280 - £39,280 Level 4 - Total Package £85,000 - £95,000 inclusive of a base salary £42,495 plus additional technical talent allowance of between £42,505 - £52,505 Level 5 - Total Package £105,000 - £115,000 inclusive of a base salary £55,805 plus additional technical talent allowance of between £49,195 - £59,195 Level 6 - Total Package £125,000 - £135,000 inclusive of a base salary £68,770 plus additional technical talent allowance of between £56,230 - £66,230 Level 7 - Total Package £145,000 inclusive of a base salary £68,770 plus additional technical talent allowance of £76,230 There are a range of pension options available which can be found through the Civil Service website. Selection Process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. Required Experience We select based on skills and experience regarding the following areas: Research problem selection Research science Writing code efficiently Python Frontier model architecture knowledge Frontier model training knowledge Model evaluations knowledge AI safety research knowledge Written communication Verbal communication Teamwork Interpersonal skills Tackle challenging problems Learn through coaching Desired Experience We additionally may factor in experience with any of the areas that our work-streams specialise in: Autonomous systems Cyber security Chemistry or Biology Safeguards Safety Cases Societal Impacts
DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost-efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role, you will be capable of using GenAI and other techniques to design, evangelize, implement, and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities As a Senior Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud experience. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Feb 02, 2025
Full time
DESCRIPTION Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost-efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role, you will be capable of using GenAI and other techniques to design, evangelize, implement, and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities As a Senior Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud experience. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities As a Senior Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud experience. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Posted: October 16, 2024 (Updated 1 day ago)
Feb 02, 2025
Full time
Job ID: AWS EMEA SARL (UK Branch) Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities As a Senior Data Scientist, you will: Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, aid them in the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Master's degree. Experience working as a Data Scientist. Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent). Experience in machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Hands-on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer). Prior experience in training and fine-tuning of Large Language Models (LLMs) and knowledge of AWS platform and tools or equivalent cloud experience. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Posted: October 16, 2024 (Updated 1 day ago)
AWE's Radiological Assessment Team is now recruiting for a Senior Theoretical Scientist to support Atmospheric Dispersion and Hazard Prediction through experimental trials, scientific research and software model development. This role will provide the successful candidate with interesting and unique work on a daily basis! Location - Reading area Package - £41,950 - £61,000 (depending on your suitabi click apply for full job details
Dec 17, 2022
Full time
AWE's Radiological Assessment Team is now recruiting for a Senior Theoretical Scientist to support Atmospheric Dispersion and Hazard Prediction through experimental trials, scientific research and software model development. This role will provide the successful candidate with interesting and unique work on a daily basis! Location - Reading area Package - £41,950 - £61,000 (depending on your suitabi click apply for full job details
We are currently looking for a Senior Scientist- Formulation & Development to join a leading Pharmaceutical company based in the Kent area. As the Senior Scientist- Formulation & Development you will be responsible for the following. KEY DUTIES AND RESPONSIBILITIES:Your duties as the Senior Scientist- Formulation & Development will be varied however the key duties and responsibilities are as follows:1. Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies.2. Practical and theoretical understanding in a range of scientific skills and technologies associated with formulating and process manufacturing at all lifecycle stages.3. Demonstrate competency and innovation on a range of complex skills and equipment, including laboratory scale, pilot scale and / or commercial manufacturing processes and equipment associated with oral liquid and solid dosage forms.4. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. As well as Lead and Mentor in the design of protocols and experiment work.ROLE REQUIREMENTS:To be successful in your application to this exciting opportunity as the Senior Scientist- Formulation & Development we are looking to identify the following on your profile and past history:1. Relevant degree plus experience, or PHD in relevant field.2. Relevant working knowledge of formulation and product development of oral, solid and liquid dosage forms. 3. Demonstrated knowledge of product and process lifecycle developmentKey Words: Senior Scientist, Formulation, Process Development, Chemistry, Drug Development, Process Manufacturing, GxP, GMP, GLP.Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer who are certified by Investors in People for talent development. We therefore welcome applications for any interested parties who fulfil the role requirements for this position. HRS is a company exclusively supporting the science and technology sectors, and is made up of a collaboration of recruitment professionals and scientists. We look forward to helping you with your next career moves.
Dec 08, 2022
Full time
We are currently looking for a Senior Scientist- Formulation & Development to join a leading Pharmaceutical company based in the Kent area. As the Senior Scientist- Formulation & Development you will be responsible for the following. KEY DUTIES AND RESPONSIBILITIES:Your duties as the Senior Scientist- Formulation & Development will be varied however the key duties and responsibilities are as follows:1. Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies.2. Practical and theoretical understanding in a range of scientific skills and technologies associated with formulating and process manufacturing at all lifecycle stages.3. Demonstrate competency and innovation on a range of complex skills and equipment, including laboratory scale, pilot scale and / or commercial manufacturing processes and equipment associated with oral liquid and solid dosage forms.4. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. As well as Lead and Mentor in the design of protocols and experiment work.ROLE REQUIREMENTS:To be successful in your application to this exciting opportunity as the Senior Scientist- Formulation & Development we are looking to identify the following on your profile and past history:1. Relevant degree plus experience, or PHD in relevant field.2. Relevant working knowledge of formulation and product development of oral, solid and liquid dosage forms. 3. Demonstrated knowledge of product and process lifecycle developmentKey Words: Senior Scientist, Formulation, Process Development, Chemistry, Drug Development, Process Manufacturing, GxP, GMP, GLP.Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer who are certified by Investors in People for talent development. We therefore welcome applications for any interested parties who fulfil the role requirements for this position. HRS is a company exclusively supporting the science and technology sectors, and is made up of a collaboration of recruitment professionals and scientists. We look forward to helping you with your next career moves.
Reed Scientific is recruiting for an Analytical Chemist with expertise in GC-MS for our client in Bedfordshire. My client believes in developing their employees and each member of staff will have a career development plan with support, to get them on their desired career path and to be promoted within the organisation. Whether they choose to become a Team Leader or a Senior Scientist The role is based in a busy laboratory environment, within a collaborative team. Salary range £23,000 - £28,000 Benefits: Competitive pension scheme, increasing with length of service, life assurance, medical cash plan, dental insurance, competitive pension, discount scheme and MORE! Hours: Monday - Friday, days only Responsibilities Perform analysis on a wide range of samples according to set procedures. Operation of GC-MS and GC-MS/MS systems, prioritising your workload and ensure deadlines are met. Carry out maintenance and troubleshooting of laboratory instrumentation and equipment. Preparation of samples, reagents, and solutions. Processing, interpretation and recording of analytical results Qualifications, Experience and Skills We're looking for candidates with experience in the analytical process, ranging from sample extraction to analysis of data and reporting the results. The Analytical Chemist should have an excellent understanding of the practical and theoretical aspects of GC-MS. You'll be required to troubleshoot and improve existing methodologies. A degree in Chemistry or a related subject Experience of working in an accredited analytical testing laboratory Hands on experience of using GC-MS Excellent communication skills at different levels If you have the experience and qualification requires and would like to be considered for this role, please apply online now.
Dec 08, 2022
Full time
Reed Scientific is recruiting for an Analytical Chemist with expertise in GC-MS for our client in Bedfordshire. My client believes in developing their employees and each member of staff will have a career development plan with support, to get them on their desired career path and to be promoted within the organisation. Whether they choose to become a Team Leader or a Senior Scientist The role is based in a busy laboratory environment, within a collaborative team. Salary range £23,000 - £28,000 Benefits: Competitive pension scheme, increasing with length of service, life assurance, medical cash plan, dental insurance, competitive pension, discount scheme and MORE! Hours: Monday - Friday, days only Responsibilities Perform analysis on a wide range of samples according to set procedures. Operation of GC-MS and GC-MS/MS systems, prioritising your workload and ensure deadlines are met. Carry out maintenance and troubleshooting of laboratory instrumentation and equipment. Preparation of samples, reagents, and solutions. Processing, interpretation and recording of analytical results Qualifications, Experience and Skills We're looking for candidates with experience in the analytical process, ranging from sample extraction to analysis of data and reporting the results. The Analytical Chemist should have an excellent understanding of the practical and theoretical aspects of GC-MS. You'll be required to troubleshoot and improve existing methodologies. A degree in Chemistry or a related subject Experience of working in an accredited analytical testing laboratory Hands on experience of using GC-MS Excellent communication skills at different levels If you have the experience and qualification requires and would like to be considered for this role, please apply online now.
Senior Associate Analytical ScientistCompany:Jazz Pharmaceuticals (Prev. GW Pharmaceuticals)Location:KentSalary:£31000.00 - £37000.00HRS Consultant:Rahul Bawa Contact Details: (0) We are currently looking for a Senior Associate Analytical Scientist to join a leading pharmaceutical company based in the Kent area. As the Senior Associate Analytical Scientist you will be responsible for KEY DUTIES AND RESPONSIBILITIES:Your duties as the Senior Associate Analytical Scientist will be varied however the key duties and responsibilities are as follows:Practical and theoretical understanding in a range of Pharmaceutical Analysis technologies (e.g., Chromatography, Spectroscopy, Dissolution etc.).The successful candidates will have a background in Analytical Chemistry combined with demonstrated expertise in HPLC method development and validation, UV Spectroscopy, Dissolution testing and experience of other analytical methodologies utilised to characterise Pharmaceutical Drug Products and APIs.Experienced in regulatory requirements for the development and validation of methods for content and the separation of impurities and degradation products in Pharmaceutical Drug Products.Experience in Physical Characterization techniques like XRPD, DSC, Particle Size determination, Rheology etc., is desirable.ROLE REQUIREMENTS:To be successful in your application to this exciting opportunity as the Senior Associate Analytical Scientist we are looking to identify the following on your profile and past history:1. A relevant science degree.2. Industry experience in formulation and process development.3. Awareness of statistical principles.Key Words: Analytical Scientist, Analytics, Formulation, Process Development, Analytical Chemistry, Chemistry, UV Spectroscopy, Dissolution, HPLC, Chromatography.Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer who are certified by Investors in People for talent development. We therefore welcome applications for any interested parties who fulfil the role requirements for this position. HRS is a company exclusively supporting the science and technology sectors, and is made up of a collaboration of recruitment professionals and scientists. We look forward to helping you with your next career moves.
Dec 08, 2022
Full time
Senior Associate Analytical ScientistCompany:Jazz Pharmaceuticals (Prev. GW Pharmaceuticals)Location:KentSalary:£31000.00 - £37000.00HRS Consultant:Rahul Bawa Contact Details: (0) We are currently looking for a Senior Associate Analytical Scientist to join a leading pharmaceutical company based in the Kent area. As the Senior Associate Analytical Scientist you will be responsible for KEY DUTIES AND RESPONSIBILITIES:Your duties as the Senior Associate Analytical Scientist will be varied however the key duties and responsibilities are as follows:Practical and theoretical understanding in a range of Pharmaceutical Analysis technologies (e.g., Chromatography, Spectroscopy, Dissolution etc.).The successful candidates will have a background in Analytical Chemistry combined with demonstrated expertise in HPLC method development and validation, UV Spectroscopy, Dissolution testing and experience of other analytical methodologies utilised to characterise Pharmaceutical Drug Products and APIs.Experienced in regulatory requirements for the development and validation of methods for content and the separation of impurities and degradation products in Pharmaceutical Drug Products.Experience in Physical Characterization techniques like XRPD, DSC, Particle Size determination, Rheology etc., is desirable.ROLE REQUIREMENTS:To be successful in your application to this exciting opportunity as the Senior Associate Analytical Scientist we are looking to identify the following on your profile and past history:1. A relevant science degree.2. Industry experience in formulation and process development.3. Awareness of statistical principles.Key Words: Analytical Scientist, Analytics, Formulation, Process Development, Analytical Chemistry, Chemistry, UV Spectroscopy, Dissolution, HPLC, Chromatography.Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer who are certified by Investors in People for talent development. We therefore welcome applications for any interested parties who fulfil the role requirements for this position. HRS is a company exclusively supporting the science and technology sectors, and is made up of a collaboration of recruitment professionals and scientists. We look forward to helping you with your next career moves.
Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience - then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo. We're looking for a talented Research Data Scientist who expects more from their career. It's a chance to extend and improve dunnhumby's Price & Promotions scientific portfolio. It's an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers. Joining our Data Science team, you'll work with world class and passionate people to apply machine learning, statistical, and econometrics methods to business problems. You'll support our high-performing Price & Promotions experts by developing mathematical models, creative methods to address new and complex problems and perform data analysis and model validation. You'll also have the opportunity to document and present analysis to internal teams and clients. What we expect from you Passion about designing generative models from first principles whenever possible. Pragmatic approach to modelling with a care to preserve theoretical validity and practical use. Good working knowledge any of: Maximum Likelihood Theory, Mixed Effects Models, Hierarchical Models, Bayesian Inference (MAP/Sampling). If the above points resonate with you, it is also likely that you will have: Degree or equivalent in a statistical or mathematical subject. Postgraduate degree or recent relevant experience of conducting research or mathematical analysis, especially in the domains of statistics, physics, econometrics or machine learning. Ability to prototype solutions using e.g. Python, R, Matlab to facilitate testing of algorithms on large data sets. Good understanding of machine learning techniques, with applications to classification, regression, and clustering. Working knowledge of databases and SQL What you can expect from us We won't just meet your expectations. We'll defy them. You will work within a team of collaborative and curious colleagues, who are passionate about injecting scientific rigour into their solutions. You'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Women's Network, dh Proud, dh Parent's & Carer's, dh One and dh Thrive as the living proof. Everyone's invited. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
Sep 21, 2022
Full time
Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience - then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo. We're looking for a talented Research Data Scientist who expects more from their career. It's a chance to extend and improve dunnhumby's Price & Promotions scientific portfolio. It's an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers. Joining our Data Science team, you'll work with world class and passionate people to apply machine learning, statistical, and econometrics methods to business problems. You'll support our high-performing Price & Promotions experts by developing mathematical models, creative methods to address new and complex problems and perform data analysis and model validation. You'll also have the opportunity to document and present analysis to internal teams and clients. What we expect from you Passion about designing generative models from first principles whenever possible. Pragmatic approach to modelling with a care to preserve theoretical validity and practical use. Good working knowledge any of: Maximum Likelihood Theory, Mixed Effects Models, Hierarchical Models, Bayesian Inference (MAP/Sampling). If the above points resonate with you, it is also likely that you will have: Degree or equivalent in a statistical or mathematical subject. Postgraduate degree or recent relevant experience of conducting research or mathematical analysis, especially in the domains of statistics, physics, econometrics or machine learning. Ability to prototype solutions using e.g. Python, R, Matlab to facilitate testing of algorithms on large data sets. Good understanding of machine learning techniques, with applications to classification, regression, and clustering. Working knowledge of databases and SQL What you can expect from us We won't just meet your expectations. We'll defy them. You will work within a team of collaborative and curious colleagues, who are passionate about injecting scientific rigour into their solutions. You'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Women's Network, dh Proud, dh Parent's & Carer's, dh One and dh Thrive as the living proof. Everyone's invited. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
Data Science - Modelling Chapter Lead Lloyds Banking Group is the UK's leading bank with over 30m customers and its biggest digital bank, with over 13 million active online customers. We've placed an ambitious transformation programme and a multi-channel approach to banking at the heart of our strategy to be the best bank for customers, backed by significant investment in our platforms and people. Why join the Data Science Team? You'll get exposure to many interesting projects across the wide range of business areas within Lloyds Banking Group. We take ideas from the concept stage and work with colleagues to demonstrate how data science and machine learning can be applied to improve customer experiences and deliver value. These solutions are engineered into live ML systems that make a material impact on the lives of up to 30m+ customers across the whole of the UK. What will I do as the Chapter Lead for Modelling within Data Science? You will Guide the team of technical leads within the Modelling Chapter, who are responsible for helping our project delivery teams to develop and implement best practice solutions. Own and continually improve upon our current approaches for tackling common ML tasks - e.g., price optimisation, propensity modelling, time-series forecasting, model monitoring, etc. You'll ensure that these are understood within the data science community and will defend these approaches during the model review process. Steer the 'Modelling Chapter' and help them approach more complex problems that require new approaches to be introduced. You'll manage the delivery of proofs-of-concept that demonstrate these new capabilities and how they can deliver value to future projects. Work closely with the ML Engineering team to define automated approaches to common workflows - e.g., for feature selection, hyperparameter tuning, model testing and monitoring, etc. Contribute to the recommended training curriculum and progression paths for professional development, from the graduate scheme to senior technical leads, and help steer the Modelling Guild to focus on contemporary data science topics that are relevant to Lloyds Banking Group. This is what we're looking for... We're keen to speak to senior data scientists and technical leaders in machine learning that have relevant experience. As a minimum to be considered we will be looking for: Experience leading data scientists and an ability to influence technical standards. A strong communicator that can collaborate effectively with other teams (e.g., ML Engineering, Intelligent Automation), and explain technical concepts to non-technical stakeholders. A good theoretical and applied knowledge of a broad range of statistical modelling and ML techniques, such as: regression, clustering, decision trees (including random forests and gradient boosted trees), time-series forecasting and deep learning (as applied to structured and semi-structured data). A pragmatic, "keep it simple" attitude to your work and designs. This would be a great role if; You are customer focused and want to continuously improve our systems. You want to influence how data science is practiced throughout Lloyds Banking Group. You want to experiment with new ideas and techniques in data science and ML. You have an automation mindset. And how will we challenge you? We are lucky to have a continuous and interesting supply of work, lots of different data sets to work with and a continually evolving infrastructure. You'll have exposure to many data science problems and an opportunity to continually improve the ways in which they are approached. You'll influence some of the best data scientists in the organisation and help to grow a thriving data science community.
Aug 02, 2022
Full time
Data Science - Modelling Chapter Lead Lloyds Banking Group is the UK's leading bank with over 30m customers and its biggest digital bank, with over 13 million active online customers. We've placed an ambitious transformation programme and a multi-channel approach to banking at the heart of our strategy to be the best bank for customers, backed by significant investment in our platforms and people. Why join the Data Science Team? You'll get exposure to many interesting projects across the wide range of business areas within Lloyds Banking Group. We take ideas from the concept stage and work with colleagues to demonstrate how data science and machine learning can be applied to improve customer experiences and deliver value. These solutions are engineered into live ML systems that make a material impact on the lives of up to 30m+ customers across the whole of the UK. What will I do as the Chapter Lead for Modelling within Data Science? You will Guide the team of technical leads within the Modelling Chapter, who are responsible for helping our project delivery teams to develop and implement best practice solutions. Own and continually improve upon our current approaches for tackling common ML tasks - e.g., price optimisation, propensity modelling, time-series forecasting, model monitoring, etc. You'll ensure that these are understood within the data science community and will defend these approaches during the model review process. Steer the 'Modelling Chapter' and help them approach more complex problems that require new approaches to be introduced. You'll manage the delivery of proofs-of-concept that demonstrate these new capabilities and how they can deliver value to future projects. Work closely with the ML Engineering team to define automated approaches to common workflows - e.g., for feature selection, hyperparameter tuning, model testing and monitoring, etc. Contribute to the recommended training curriculum and progression paths for professional development, from the graduate scheme to senior technical leads, and help steer the Modelling Guild to focus on contemporary data science topics that are relevant to Lloyds Banking Group. This is what we're looking for... We're keen to speak to senior data scientists and technical leaders in machine learning that have relevant experience. As a minimum to be considered we will be looking for: Experience leading data scientists and an ability to influence technical standards. A strong communicator that can collaborate effectively with other teams (e.g., ML Engineering, Intelligent Automation), and explain technical concepts to non-technical stakeholders. A good theoretical and applied knowledge of a broad range of statistical modelling and ML techniques, such as: regression, clustering, decision trees (including random forests and gradient boosted trees), time-series forecasting and deep learning (as applied to structured and semi-structured data). A pragmatic, "keep it simple" attitude to your work and designs. This would be a great role if; You are customer focused and want to continuously improve our systems. You want to influence how data science is practiced throughout Lloyds Banking Group. You want to experiment with new ideas and techniques in data science and ML. You have an automation mindset. And how will we challenge you? We are lucky to have a continuous and interesting supply of work, lots of different data sets to work with and a continually evolving infrastructure. You'll have exposure to many data science problems and an opportunity to continually improve the ways in which they are approached. You'll influence some of the best data scientists in the organisation and help to grow a thriving data science community.
Scientist I - Ethical Testing Lab - Fixed-Term and Permanent Contracts available Daresbury, Cheshire If you have experience of working in a regulatory laboratory environment, this is an incredible opportunity to help accelerate the world's transition to 100% animal-free testing. About Us We're XCellR8, an award-winning organisation that is dedicated to developing animal-free testing solutions for the cosmetics and chemical industries. We're committed to Xcellence, being Xtraordinary, Xemplary and going the Xtra mile to achieve outstanding results. We are now seeking a Scientist I to join us at the prestigious National Innovation Campus at Sci-Tech Daresbury and support the day-to-day scientific activities of our laboratory. The Benefits - 25 days' holiday per year - Company pension - Personal development plans and regular appraisals - Access to high-quality training and development - Time devoted to supporting corporate charity efforts - Team nights out and celebrations - Wellbeing initiatives including free fruit in the office Born from a great idea and a passion for animal welfare, XCellR8 has become a world leader in our field and we're constantly pushing boundaries to find animal-free, cutting-edge testing solutions. We provide the ideal environment in which to progress your scientific career. With a reputation for our innovative approach, we have a Good Laboratory Practice certification, as well as a number of awards for our pioneering work. Here, you will have the chance to help develop exciting new scientific techniques, work with some of the world's top cosmetic brands and help to protect human safety. So, if you want to contribute to important work that's providing a more ethical and scientifically advanced alternative to animal testing, we want to hear from you. The Role As a Scientist I, you will carry out animal-free studies in order to demonstrate the safety and efficacy of test items. Working closely with Senior Scientists, QA and other team members, you'll contribute to the research and development of new test methods and provide routine maintenance of both human cell cultures and the XCellR8 lab. You will also: - Process, analyse and communicate the results and data from experiments conducted - Perform QC checks on reports - Work within the GLP regulatory framework - Undertake ongoing training in the appropriate theoretical and practical skills to support the role - Contribute to the review, update and creation of controlled documents, including SOPs, IPs and Forms - Keep up to date with the work of other scientists both internally and externally through regular reading/research and conference attendance in order to support innovation at XCellR8 About You To join us as a Scientist I, you will need: - A degree (or equivalent) in a Life Science subject, with additional prior laboratory experience - To be committed to the development and implementation of in vitro alternatives to animal testing - To work to the requirements of Good Laboratory Practice (GLP) and Good Documentation Practice (GDP) - Proficiency in MS Office applications including Microsoft Excel - To be an analytical thinker who can manage priorities, problem-solve and deliver actions - To be highly detail oriented, able to work autonomously and able to manage multiple tasks and tight deadlines with confidence and ease Although not essential, experience in cell culture, flow cytometry, High Performance Liquid Chromatography (HPLC), and/or assays would be beneficial to your application. Other organisations may call this role Laboratory Scientist, Lab Scientist, Lab Technician, Life Scientist, Life Science Technician, Laboratory Analyst, or Human Cell Culture Scientist. Webrecruit and XCellR8 are equal opportunities employers, value diversity and are strongly committed to providing equal employment opportunities for all employees and all applicants for employment. Equal opportunities are the only acceptable way to conduct business and we believe that the more inclusive our environments are, the better our work will be. So, if you're seeking your next challenge as a Scientist I, please apply via the button shown. This vacancy is being advertised by Webrecruit. The services advertised by Webrecruit are those of an Employment Agency.
Dec 05, 2021
Full time
Scientist I - Ethical Testing Lab - Fixed-Term and Permanent Contracts available Daresbury, Cheshire If you have experience of working in a regulatory laboratory environment, this is an incredible opportunity to help accelerate the world's transition to 100% animal-free testing. About Us We're XCellR8, an award-winning organisation that is dedicated to developing animal-free testing solutions for the cosmetics and chemical industries. We're committed to Xcellence, being Xtraordinary, Xemplary and going the Xtra mile to achieve outstanding results. We are now seeking a Scientist I to join us at the prestigious National Innovation Campus at Sci-Tech Daresbury and support the day-to-day scientific activities of our laboratory. The Benefits - 25 days' holiday per year - Company pension - Personal development plans and regular appraisals - Access to high-quality training and development - Time devoted to supporting corporate charity efforts - Team nights out and celebrations - Wellbeing initiatives including free fruit in the office Born from a great idea and a passion for animal welfare, XCellR8 has become a world leader in our field and we're constantly pushing boundaries to find animal-free, cutting-edge testing solutions. We provide the ideal environment in which to progress your scientific career. With a reputation for our innovative approach, we have a Good Laboratory Practice certification, as well as a number of awards for our pioneering work. Here, you will have the chance to help develop exciting new scientific techniques, work with some of the world's top cosmetic brands and help to protect human safety. So, if you want to contribute to important work that's providing a more ethical and scientifically advanced alternative to animal testing, we want to hear from you. The Role As a Scientist I, you will carry out animal-free studies in order to demonstrate the safety and efficacy of test items. Working closely with Senior Scientists, QA and other team members, you'll contribute to the research and development of new test methods and provide routine maintenance of both human cell cultures and the XCellR8 lab. You will also: - Process, analyse and communicate the results and data from experiments conducted - Perform QC checks on reports - Work within the GLP regulatory framework - Undertake ongoing training in the appropriate theoretical and practical skills to support the role - Contribute to the review, update and creation of controlled documents, including SOPs, IPs and Forms - Keep up to date with the work of other scientists both internally and externally through regular reading/research and conference attendance in order to support innovation at XCellR8 About You To join us as a Scientist I, you will need: - A degree (or equivalent) in a Life Science subject, with additional prior laboratory experience - To be committed to the development and implementation of in vitro alternatives to animal testing - To work to the requirements of Good Laboratory Practice (GLP) and Good Documentation Practice (GDP) - Proficiency in MS Office applications including Microsoft Excel - To be an analytical thinker who can manage priorities, problem-solve and deliver actions - To be highly detail oriented, able to work autonomously and able to manage multiple tasks and tight deadlines with confidence and ease Although not essential, experience in cell culture, flow cytometry, High Performance Liquid Chromatography (HPLC), and/or assays would be beneficial to your application. Other organisations may call this role Laboratory Scientist, Lab Scientist, Lab Technician, Life Scientist, Life Science Technician, Laboratory Analyst, or Human Cell Culture Scientist. Webrecruit and XCellR8 are equal opportunities employers, value diversity and are strongly committed to providing equal employment opportunities for all employees and all applicants for employment. Equal opportunities are the only acceptable way to conduct business and we believe that the more inclusive our environments are, the better our work will be. So, if you're seeking your next challenge as a Scientist I, please apply via the button shown. This vacancy is being advertised by Webrecruit. The services advertised by Webrecruit are those of an Employment Agency.
