34 jobs found

Functional Genomics in Drug Discovery: Become a key leader in this new era in medicine Our client is a leading Global Pharmaceutical Company committed to driving innovative research to help people to do more, feel better and live longer. With an outstanding history spanning 175 years they have always been at the forefront of novel and leading R&D, investing heavily in the identification, development and delivery of innovative solutions to improve the treatment of diseases and illnesses. With a desire to continue to innovate and pioneer change they are investing heavily in the development of a significant and highly talented Functional Genomics (FxG) Group. Future R&D will focus on science relating to the immune system, the use of genetics and investments in advanced technologies. The Functional Genomics Group will lead many varied and innovative approaches to bring new medicines to patients globally. Key to their success will be ensuring that they are at the forefront of the technological revolution, scaling advances in genomic engineering, tissue and cell science, computational biology and Omics technologies. The Global Head FxG Biology will be accountable for developing, mentoring, building and leading teams of expert scientists in 3 critical areas: Gene Editing & Genetic Screening High Throughput Biology & Imaging The Global Head FxG Biology will lead a global team(s) based in UK and USA with broad responsibilities: Develop and maintain state-of-the-art capabilities in gene editing and genetic screening, translational in vitro models and high throughput biology and imaging. Keep up to date on external innovation in all relevant areas of Biology. Collaborate with FxG groups, collaborators, and stakeholders to develop and execute a portfolio of genetic screening projects that have high likelihood of delivering novel, high-quality targets into the early discovery and development pipeline. Ensure processes and resources are in place to facilitate uptake of targets from screening campaigns into the early target portfolio. Actively engage with multiple FxG academic collaborations and successfully integrate external innovation as required. Contribute to FxG strategic direction, resource planning and prioritization through participation as a key member of the FxG Leadership Team. The Global Head FxG Biology will be expected to bring: Outstanding scientific knowledge and credibility. A demonstrable track record of success within key areas of Functional Genomics Biology development and application. Exceptional and demonstrable leadership skills and capability. Experience setting the vision and direction to deliver scientific excellence. The Global Head FxG Biology will be responsible for driving the science and strategy for all biological activities for target discovery and target validation in FxG. You should possess outstanding scientific, leadership and communication skills, with the ability to motivate and influence others at a variety of levels and across multiple disciplines and environments. Location: UK / USA based Salary: £Attractive Salary Package commensurate with experience Reference: PSL4132a Pharma-Search Ltd, Company Number:

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy , and Fellows from our award winning Fellowship programme . Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world. We're always on the lookout for talented individuals whose principles and interests align with our own. While we don't have a vacancy open in a specific team at the moment, we are starting to plan for a period of growth in Data Science. By registering your application for this position you'll be considered for Senior Data Scientist roles in our Applied AI Consultancy more generally and we'll reach out as these open up. What you'll be doing: This role is situated within our Applied AI consultancy, which serves clients across UK Defence, Government, Life Sciences, Energy, Banking and Retail. As a Senior Data Scientist you will lead project teams that deliver bespoke algorithms to our clients and will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes. You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful. Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Who we're looking for: Senior experience in either a professional data science position or a quantitative academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. A leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic culture An appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deployment Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience Experience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to delivery What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You'll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you'll learn something new from everyone you meet.

CCL 25.05.02 Lead AI Scientist, Small Molecule Discovery, Orion Pharma, Cambridge, UK Conferences upcoming conferences Jobs positions open Consultants COnsulting Companies -Resumes- resumes (positions wanted) From: jobs at ccl.net (do not send your application there ) To: jobs at ccl.net Date: Fri May 2 06:51: Subject: 25.05.02 Lead AI Scientist, Small Molecule Discovery, Orion Pharma, Cambridge, UK Orion is seeking a visionary and technically exceptional Lead AI Scientist- Small Molecule Discovery to join our Molecular Prospecting and Modeling Unit. This newly established role is ideal for a scientist driven to push the boundaries of modern predictive and generative AI methods and redefine how small molecule drug discovery is conducted. If you're passionate about innovating beyond the current state-of-the-art and building transformative solutions that shape the future of drug design, we want to hear from you.We are on a bold digital transformation journey to redefine pharmaceutical R&D through the power of data, machine learning, and AI. As part of this mission, we are building a world-class digital R&D ecosystem that integrates scientific innovation with cutting-edge technology. We are pawing our way to the future by transforming how we discover and design small molecule therapeutics, integrating computational methods with domain expertise in medicinal chemistry, biology, and pharmacology. Join us at the forefront of this transformation and help accelerate the discovery and development of new therapies for patients around the world. About your roleAs Lead AI Scientist, you will act as a thought leader in machine learning and artificial intelligence, spearheading the development of novel methodologies to enable data-driven hit discovery, hit-to-lead progression, and lead optimization. You will work alongside a highly experienced computational team and have a pivotal role in empowering scientists across Orions R&D, including Medicinal Chemistry and DMPK-Tox experts.This role is not project-bound or service-orientedit is about initiating a fundamental evolution in computational drug discovery at Orion. You will have a strong mandate to explore new technologies, implement cutting-edge solutions, and influence the strategic direction of AI-driven design.Your key responsibilities- Developing and validating advanced AI/ML methodologies for molecular generation, prediction, and optimization.- Designing and implementing scalable computational pipelines, models, and tools to be used by the broader modeling and cheminformatics team.- Driving innovation in areas such as foundation models, active learning, and generative chemistry with attention to synthetic feasibility.- Staying at the forefront of scientific and technical advances in AI for drug discovery.- Collaborating with internal computational experts and selected external partners to extend Orions capabilities.- Contributing to scientific publications and participating in the broader scientific community where appropriate.This is a full-time position based in Cambridge, UK. In this position, you will report to the Head of Computational Design based in Espoo, Finland.What we offerAt Orion, your work directly contributes to improving the lives of patients worldwide. We provide:- A forward-looking, collaborative scientific environment with top-tier professionals.- A unique opportunity to drive a technological leap in AI-powered drug discovery.- Access to diverse chemical and biological data and modern compute environments.- Opportunities for scientific publishing and engagement in external collaborations.- Competitive salary, comprehensive health and welfare benefits, and support for international relocation.At Orion, your work creates true impact and well-being for our customers, patients and society at large. Our culture of friendliness, respect, mutual appreciation and diversity creates a safe working environment where you can strive for excellence. We offer a wealth of career paths and development opportunities that support the development of innovative solutions and improving the quality of life.Please visit our website to find further information about our values and Orion as an employer expectationsTo succeed in this role, we expect you to have:- Ph.D. in machine learning, artificial intelligence, computational chemistry, cheminformatics, or a related field.- 5+ years of postdoctoral experience.- Proven track record in developing and applying modern AI/ML methods (e.g., generative models, GNNs, active learning, foundation models)in a scientific context.- Strong coding skills and experience with relevant ML frameworks(e.g., PyTorch, TensorFlow, JAX) and chemistry toolkits (e.g., RDKit).- Deep understanding of molecular representation techniques and their application in modeling.- Experience in designing and implementing robust, scalable AI-driven workflows and tools.- Passion for scientific discovery and the curiosity to explore new frontiers.- Excellent communication and collaboration skills in a multidisciplinary environment.- Fluent written and spoken English.- Experience with organic and medicinal chemistry is highly valued, but deep domain expertise is not required.How to apply and additional informationIf this opportunity excites you, we encourage you to apply! Please submit your cover letter and CV by May 25th, 2025, and let us know what drives your passion for AI in small molecule discovery. You can find the job among our open positions on our website at Unit descriptionOrions pharmaceutical innovations are created within its R&D organization.We employ around 400 top professionals in the field of drug discovery and development. We work globally: in Espoo and Turku in Finland, in Nottingham in England and in New York, NY, USA. Orion R&D and the Innovative Medicines business division are dedicated to making a transformation to become a global player in the pain and oncology therapy areas. Our Medicine Design Department plays a critical role in drug discovery, from target validation to clinical candidate nomination.The Molecular Prospecting and Modeling Unit defines hit-finding strategies for early-stage drug discovery and develops computational methods to support all stages of small molecule discovery. Our unit integrates cheminformatics, AI, molecular modeling, and structural biology to accelerate and guide data-driven drug design.About UsOrion is a globally operating Finnish pharmaceutical company a builder of well-being for over a hundred years.Orion provides meaningful work for more than 3 600 Orionees in Finland and abroad. Orion is known as a responsible and reliable employer where we value each other, strive for the best and build for tomorrow.We develop, manufacture and market human and veterinary pharmaceuticals and active pharmaceutical ingredients. Orion has an extensive portfolio of proprietary and generic medicines and consumer health products. The core therapy areas of our pharmaceutical R&D are oncology and pain. Proprietary products developed by Orion are used to treat cancer, neurological diseases and respiratory diseases, among others.Please submit your cover letter and CV by May 25th, 2025. You can find the job advertisement among our open positions on our website at find the direct link to the job advertisement below, through which you can submit your application and CV.+Kingdom&locationId=&locationLevel=country&mode=locationNOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED were changed to a to fight spam. Before you send e-mail, youneed to change a example: change joe a to Please let your prospective employer know that you learnedabout the job from the Computational Chemistry List Job Listing at .If you are not interested in this particular position yourself, pass it tosomeone who might be some day they may return the favor. Page accessed 96 times since Fri May 2 11:00: GMT

CCL 25.05.02 Lead AI Scientist, Small Molecule Discovery, Orion Pharma, Cambridge, UK Conferences upcoming conferences Jobs positions open Consultants COnsulting Companies -Resumes- resumes (positions wanted) From: jobs at ccl.net (do not send your application there ) To: jobs at ccl.net Date: Fri May 2 06:51: Subject: 25.05.02 Lead AI Scientist, Small Molecule Discovery, Orion Pharma, Cambridge, UK Orion is seeking a visionary and technically exceptional Lead AI Scientist- Small Molecule Discovery to join our Molecular Prospecting and Modeling Unit. This newly established role is ideal for a scientist driven to push the boundaries of modern predictive and generative AI methods and redefine how small molecule drug discovery is conducted. If you're passionate about innovating beyond the current state-of-the-art and building transformative solutions that shape the future of drug design, we want to hear from you.We are on a bold digital transformation journey to redefine pharmaceutical R&D through the power of data, machine learning, and AI. As part of this mission, we are building a world-class digital R&D ecosystem that integrates scientific innovation with cutting-edge technology. We are pawing our way to the future by transforming how we discover and design small molecule therapeutics, integrating computational methods with domain expertise in medicinal chemistry, biology, and pharmacology. Join us at the forefront of this transformation and help accelerate the discovery and development of new therapies for patients around the world. About your roleAs Lead AI Scientist, you will act as a thought leader in machine learning and artificial intelligence, spearheading the development of novel methodologies to enable data-driven hit discovery, hit-to-lead progression, and lead optimization. You will work alongside a highly experienced computational team and have a pivotal role in empowering scientists across Orions R&D, including Medicinal Chemistry and DMPK-Tox experts.This role is not project-bound or service-orientedit is about initiating a fundamental evolution in computational drug discovery at Orion. You will have a strong mandate to explore new technologies, implement cutting-edge solutions, and influence the strategic direction of AI-driven design.Your key responsibilities- Developing and validating advanced AI/ML methodologies for molecular generation, prediction, and optimization.- Designing and implementing scalable computational pipelines, models, and tools to be used by the broader modeling and cheminformatics team.- Driving innovation in areas such as foundation models, active learning, and generative chemistry with attention to synthetic feasibility.- Staying at the forefront of scientific and technical advances in AI for drug discovery.- Collaborating with internal computational experts and selected external partners to extend Orions capabilities.- Contributing to scientific publications and participating in the broader scientific community where appropriate.This is a full-time position based in Cambridge, UK. In this position, you will report to the Head of Computational Design based in Espoo, Finland.What we offerAt Orion, your work directly contributes to improving the lives of patients worldwide. We provide:- A forward-looking, collaborative scientific environment with top-tier professionals.- A unique opportunity to drive a technological leap in AI-powered drug discovery.- Access to diverse chemical and biological data and modern compute environments.- Opportunities for scientific publishing and engagement in external collaborations.- Competitive salary, comprehensive health and welfare benefits, and support for international relocation.At Orion, your work creates true impact and well-being for our customers, patients and society at large. Our culture of friendliness, respect, mutual appreciation and diversity creates a safe working environment where you can strive for excellence. We offer a wealth of career paths and development opportunities that support the development of innovative solutions and improving the quality of life.Please visit our website to find further information about our values and Orion as an employer expectationsTo succeed in this role, we expect you to have:- Ph.D. in machine learning, artificial intelligence, computational chemistry, cheminformatics, or a related field.- 5+ years of postdoctoral experience.- Proven track record in developing and applying modern AI/ML methods (e.g., generative models, GNNs, active learning, foundation models)in a scientific context.- Strong coding skills and experience with relevant ML frameworks(e.g., PyTorch, TensorFlow, JAX) and chemistry toolkits (e.g., RDKit).- Deep understanding of molecular representation techniques and their application in modeling.- Experience in designing and implementing robust, scalable AI-driven workflows and tools.- Passion for scientific discovery and the curiosity to explore new frontiers.- Excellent communication and collaboration skills in a multidisciplinary environment.- Fluent written and spoken English.- Experience with organic and medicinal chemistry is highly valued, but deep domain expertise is not required.How to apply and additional informationIf this opportunity excites you, we encourage you to apply! Please submit your cover letter and CV by May 25th, 2025, and let us know what drives your passion for AI in small molecule discovery. You can find the job among our open positions on our website at Unit descriptionOrions pharmaceutical innovations are created within its R&D organization.We employ around 400 top professionals in the field of drug discovery and development. We work globally: in Espoo and Turku in Finland, in Nottingham in England and in New York, NY, USA. Orion R&D and the Innovative Medicines business division are dedicated to making a transformation to become a global player in the pain and oncology therapy areas. Our Medicine Design Department plays a critical role in drug discovery, from target validation to clinical candidate nomination.The Molecular Prospecting and Modeling Unit defines hit-finding strategies for early-stage drug discovery and develops computational methods to support all stages of small molecule discovery. Our unit integrates cheminformatics, AI, molecular modeling, and structural biology to accelerate and guide data-driven drug design.About UsOrion is a globally operating Finnish pharmaceutical company a builder of well-being for over a hundred years.Orion provides meaningful work for more than 3 600 Orionees in Finland and abroad. Orion is known as a responsible and reliable employer where we value each other, strive for the best and build for tomorrow.We develop, manufacture and market human and veterinary pharmaceuticals and active pharmaceutical ingredients. Orion has an extensive portfolio of proprietary and generic medicines and consumer health products. The core therapy areas of our pharmaceutical R&D are oncology and pain. Proprietary products developed by Orion are used to treat cancer, neurological diseases and respiratory diseases, among others.Please submit your cover letter and CV by May 25th, 2025. You can find the job advertisement among our open positions on our website at find the direct link to the job advertisement below, through which you can submit your application and CV.+Kingdom&locationId=&locationLevel=country&mode=locationNOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED were changed to a to fight spam. Before you send e-mail, youneed to change a example: change joe a to Please let your prospective employer know that you learnedabout the job from the Computational Chemistry List Job Listing at .If you are not interested in this particular position yourself, pass it tosomeone who might be some day they may return the favor. Page accessed 70 times since Fri May 2 11:00: GMT

Senior / Scientist - Project Biology - Target Validation London About Relation Relation is an end-to-end biotech developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. This year, we've embarked on an exciting double collaboration with GSK to tackle fibrosis and osteoarthritis, alongside advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with their deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative Biotech companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into positive impact for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and develop to their highest potential. By joining Relation, you will be part of an exceptionally talented team, with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity We have an exciting opportunity for a Senior Scientist or Scientist - Project Biology , to join Relation's cutting-edge experimental laboratory and contribute to our drug discovery initiatives. The successful candidate will be supporting and executing mechanistic target validation experiments, generating and interpreting scientific data, and supporting the maintenance of the laboratory. Your contributions will be part of advancing our research and ensuring successful project outcomes. As part of the Relation team, you will join a team of talented professionals, including wet-lab scientists and data scientists and gain exposure to a diverse range of skills, both in and outside of your primary area of expertise. You will have the opportunity to contribute to the development of our positive and inclusive organisational culture and ultimately, make a positive impact on patients' lives. Your responsibilities Scientist proficient in cellular and molecular biology to contribute to projects focussed on understanding novel target biology Contribute to orthogonal validation projects by maintenance of cell lines, utilisation of CRISPR/Cas9 gene editing & microscopy endpoints Generate, analyse & contribute biological data to Relations novel drug discovery projects. Working as a member of the lab team to ensure efficient running of the lab, including a variety of responsibilities as required. Professionally, you have A PhD with experience in assay development and/or target validation. Experience with a variety of mammalian cellular models including established cell lines, patient-derived primary cells with functional disease relevant endpoints with the aim of ensuring required reproducibility and sensitivity in those assays. Experience using multi-parameter endpoints including, but not limited to flow cytometry, fluorescence microscopy, plate based fluorescent assays, soluble ligand analysis, RT-qPCR. Knowledge of gene editing tools (e.g., CRISPR/Cas9) and RNA interference for modulating gene expression cell systems. A proven ability to work closely within cross-functional teams to progress target validation projects and present findings to internal stakeholders. Desirable knowledge or experiences Comfortable working in a Biotech environment, previous Pharma or Biotech experience is desirable. An ability to multitask and effectively contribute to multiple projects in parallel in response to changing priorities. Personally, you are A collaborative team player. A clear and effective communicator. Driven by the impact of preclinical development Motivated to stay at the forefront of scientific advancements. Passionate about contributing to meaningful advancements in healthcare. Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer. RECRUITMENT AGENCIES: Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation Therapeutics will not be liable for any fees associated with unsolicited CVs.

About Relation Relation is an end-to-end biotech developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. This year, we've embarked on an exciting double collaboration with GSK to tackle fibrosis and osteoarthritis, alongside advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with their deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into positive impact for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and develop to their highest potential. By joining Relation, you will be part of an exceptionally talented team, with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. The Opportunity Relation has an excellent opportunity for a Senior Scientist to join an interdisciplinary, highly collaborative team of experimental and computational drug discovery researchers in our newly built, state-of-the-art functional genomics lab in London. Large-scale genetic studies, including genome-wide association studies (GWAS), have identified thousands of variants and loci associated with complex diseases. However, the vast majority of these loci lie in non-coding regions of the genome with unknown functions, making it challenging to draw disease insights. At Relation, we generate proprietary large-scale datasets to accelerate the prediction of disease genes from these loci using state-of-the-art machine learning methods. We identify the key effector genes, cells, and pathways involved in disease pathophysiology to build disease-relevant assays and validate ML platform predictions, identifying candidate targets for further validation. We have an exciting opportunity for a talented Senior Scientist to contribute intellectually and experimentally to this endeavour. By joining Relation, you will be part of an exceptionally talented team, gain exposure to a broad range of skills beyond your area of expertise, help shape our culture and strategic direction, and ultimately, make a positive impact on patients' lives. As the company grows rapidly, there may be opportunities to supervise a small team. Professionally, you have A PhD with at least 3 years of experience and an outstanding track record in academia, biotech or pharma. At least 2 years' hands-on experience with all aspects of CRISPR technology (including CRISPRn, CRISPRi, CRISPRa, Cas9 and derivatives, Cas13). Extensive experience with mammalian cell transduction using lentiviral particles, cell transfection, lipofection, and nucleofection. Extensive experience with molecular cloning and mammalian cell engineering (TOPO, Gateway, Gibson, Golden Gate, reporter systems). Experience with flow cytometry and cell sorting. Broad experience with standard molecular biology techniques. A proven ability to deliver to tight timelines. Desirable knowledge or experiences Experience with siRNA, ASO, and other interventions for protein function modulation. Experience with assay development, screening, and liquid handling. Experience of interdisciplinary team-working, especially with computational scientists. Personally, you have A willingness to operate within start-up environments, including delivering to tight timelines, the ability to react to changing priorities or plans, and to help with laboratory operations. Excellent attention to detail, analytical, and critical thinking skills An ability to build effective working relationships with proven team-working skills An ability to communicate effectively with scientists from multiple disciplines An inquisitive nature, are self-motivated, and eager to learn A desire to work within a fast-paced, data science-first environment. Join Us This is an exciting opportunity to be part of a company that is redefining how we understand genetics and disease risk. Your contributions will directly impact the development of transformative medicines for patients. Together, we're not just conducting research-we're setting new standards in machine learning and genetics. The patient is waiting. Relation is a committed equal opportunities employer. Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs.

Job Description Our company has grown an interdisciplinary team of scientists in London and has exciting plans to evolve further from our recent expansion into 'Skylab' at the Francis Crick Institute to the move into our new 'state of the art' London Discovery Research Centre and UK headquarters at the heart of London's Knowledge Quarter in 2027. This will be home to approximately 180 scientists alongside other colleagues in clinical, regulatory, and business roles, including marketing, finance, and administration. Our teams combine leading drug discovery capabilities and world-class R&D with the purpose of turning breakthrough science into life-changing medicines, applyingleading-edge chemistryto support target validation and identify high quality clinical candidates. We are currently recruiting a Scientist to join a growing Separations team in a laboratory-based role. The successful candidate will actively participate in a vibrant culture as part of a diverse and collaborative multidisciplinary team. The candidate must have strong organisation skills, be highly self-motivated and have excellent written and oral communication abilities. Primary responsibilities include: Acting as a super-user of LCMS/HPLC Open Access capabilities on both an analytical and preparative scale Maintaining and troubleshooting various chromatographic instrumentation Supporting medicinal chemists with analytical and purification method optimisation In addition, the candidate will share and apply the best practices to enable continuous chromatography improvement. This will involve driving the execution of compound purification and method development. To accomplish the above the successful candidate must demonstrate strong interpersonal communication, flexibility, time management and a keen initiative to support project needs. This will involve liaising with multiple departments across the network. Education Minimum Requirement: The candidate will possess a BSc or MSc in Chemistry, Biochemistry, or other physical science Required Experience: Understanding of analytical and separation chemistry concepts, including Reverse-Phase chromatography Hands-on experience using LCMS (Liquid Chromatography Mass Spectroscopy) in an analytical/purification lab The ability to perform accurate and timely work High self-motivation, a collaborative mindset and an attention to detail. A keen willingness to learn to support cross-functional teams across growing research programs Preferred Experience and Skills: Setup and ability to troubleshoot analytical and preparative HPLC instrumentation Knowledge of HPLC and/or SFC purification of small molecules Experience in method development using achiral and/or chiral techniques Ability to multi-task and deliver on multiple priorities simultaneously Experience of high-throughput automation and instrumentation Closing date for applications: 22nd July 2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Not Applicable Shift: Valid Driving License: Hazardous Material(s): Required Skills: Adaptability, Analytical Instrumentation, Analytical Method Development, Analytical Problem Solving, Analytical Testing, Antibody Drug Conjugates (ADC), Business, Chemistry Techniques, Communication, Detail-Oriented, Laboratory Safety, Liquid Chromatography-Mass Spectrometry (LC-MS), Organic Synthesis, Preparative Chromatography, Purification Methods, Reverse Phase Chromatography, Science, Social Collaboration Preferred Skills: Job Posting End Date: 07/23/2025 A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID:R356819

Join a highly successful business and the market leader to help continue the growth of their focused and ambitious product development pipeline. Reporting to the General Manager (Singapore) you will play a crucial role in the leadership of all key in vivo projects, managing and leading highly qualified study directors. This operation is focused on the development of novel and scientifically robust approaches that provide reliable scientific evidence and data, of the highest quality, using a systems biology based approach. This helps us to understand mechanisms of disease observed in animal models and then translate these observations to human physiology - validating scientific concepts and develop new tools for future research. Using highly advanced in vivo / ex vivo systems and technology you will provide scientific expertise and guidance to the General Manager. You will bring a high level of scientific expertise and experience in developing targeted in vivo models to understand specific disease mechanisms in areas such as Lung Cancer and Chronic Obstructive Pulmonary Disease (COPD). You will be expected to interpret complex data from both in vivo and ex vivo methodology. You will have excellent written and oral communication skills and will work closely with scientific leaders, regulatory groups and senior management. You will be responsible for leading, developing and motivating a high performing BioResearch team, working directly with the Biological Systems Research group in Switzerland, responsible for the establishment and validation of novel in vivo models. Your aim is to deliver scientific data of the highest quality, leading the development of new models to enhance disease understanding. You will have direct and indirect line management responsibility in a matrix environment, leading strong multi-disciplinary and multi-cultural scientific teams, ideally with the ability to manage through influence, with excellent problem solving skills and leadership capability, whilst developing excellent relationships with stakeholders in all countries. You will have the ability to motivate others, think strategically, be an excellent communicator and possess the awareness to invest in and develop positive relationships at all levels, with a high level of comfort with senior management. Your success will be linked to your ability to develop and lead a high performing team(s) delivering science and scientific data of the highest standards, providing direction, leadership and vision. You will also be expected to gain the respect of your scientific peers and external stakeholders, such that you are recognised as a global expert within the development and use of in vivo models for Lung Cancer and COPD. This is an exciting opportunity to join a highly successful global business, within a leadership capacity, in a highly visible capacity where the long term career prospects are varied and exceptional. For further information or a discussion in complete confidence, please contact Dr Grant Coren, Location: Singapore Salary: Attractive salary and package - commensurate with experience Reference: PSL4019 Pharma-Search Ltd, Company Number:

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society. Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all. TEAM The cloud and data engineering team accelerates autonomous driving by providing access to the data collected by our fleet of autonomous and non-autonomous vehicles, and provides the core technology to mine interesting and rare events out of the petabytes of data we collect. Efficient, targeted and cost-effective access to data at scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. We are a distributed team, working in the UK, US and JP. WHO ARE WE LOOKING FOR? The Cloud and Data Engineering team is looking for data scientists who are passionate about enabling the next generation of automotive software development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed within our engineering teams to help solve domain specific data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity of simulation. The right candidate will have excellent communication skills, experience in using statistical methods in an applied setting and in developing metrics and evaluation frameworks, as well as familiarity with Machine Learning systems. RESPONSIBILITIES Use statistical modeling to shape the our data strategy for data acquisition (real and synthetic), validation and ML training Develop metrics and frameworks to understand the distribution and diversity of data Tackle ambiguous problems using data-driven analysis, and provide actionable insights to inform decision making and demonstrate business impact Communicate findings on complex technical topics to stakeholders across engineering leadership and product Embed with engineering teams to understand and provide data-driven recommendations on their domain-specific challenges Drive the adoption of best practices in data science across the organisation, lead other data science engineers MINIMUM QUALIFICATIONS Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with common data science tools; statistical analysis, mathematical modelling etc. Experience in developing analytical frameworks to facilitate data-driven decision making in the face of high ambiguity A track record of building relationships with engineering and product leadership, and influencing strategic business decisions Ability to communicate concepts clearly and precisely to technical and non technical stakeholders Experience working in a cross-functional environment NICE TO HAVES Experience in working in a production ML environment Experience working with geographically distributed teams Previous experience in the AD/ADAS domain or adjacent fields (e.g. robotics) Experience with temporal data and/or robotics sensor data. WHAT WE OFFER We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. • Excellent health, wellness, dental and vision coverage • A rewarding pension • Flexible vacation policy • Family planning and care benefits Our Commitment • We are an equal opportunity employer and value diversity. • Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.

We are looking for a highly skilled Member of Technical Staff to lead the development of cutting-edge workflows. You will build autonomous systems that can navigate complex scientific tasks entirely through natural language conversation. In your role, you will architect and deploy reasoning systems that democratise access to breakthrough synthetic biology tools, enabling researchers worldwide to leverage our frontier models through intuitive chat interfaces. Who we are: At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and maximising positive global impact. Join us on our moonshot mission. Who You Are: You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture. You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch. You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge extraction. You can architect complex workflows. You have experience with workflow orchestration tools (Airflow, Prefect, Temporal) or have built custom pipeline systems for multi-step autonomous processes. You bridge science and engineering. You are comfortable with scientific computing libraries (NumPy, SciPy, pandas) and understand scientific literature formats, databases (PubMed, arXiv), and academic data processing. What Sets You Apart: You have a research background. You are a former academic researcher who transitioned to industry ML/AI roles, or a research software engineer with deep ML/AI experience. You're passionate about scientific automation. You have experience with document processing, OCR, text extraction from academic papers, and scientific data formats. You understand the research ecosystem. You have worked in academic or pharmaceutical research environments and understand research workflows and publishing processes. You're a multimodal specialist. You have a background in natural language processing, particularly for scientific text processing and citation networks. Your Responsibilities: Build autonomous scientific agents that can execute complex research workflows through natural language interaction-from protein structure analysis to experimental design. Architect end-to-end reasoning systems that integrate our platform capabilities with intelligent decision-making, enabling users to accomplish sophisticated tasks through simple chat interfaces. Develop knowledge discovery pipelines that can autonomously mine scientific literature, identify undrugged disease pathways, and propose novel therapeutic targets. Create scientific content at scale by building agents that can design experiments, generate hypotheses, and produce research-grade articles and blog posts. Pioneer autonomous lab workflows by developing agents that can design complex biological systems (like protein-based logic gates) and orchestrate their validation. Collaborate with scientists to understand research pain points and translate them into intelligent automation solutions. Publish and evangelise breakthrough applications of agentic workflows in synthetic biology through articles, blog posts, and scientific demonstrations. Apply: We offer strongly competitive compensation and benefits packages, including: Private health insurance Pension/401(K) contributions Generous leave policies (including gender neutral parental leave) Hybrid working Travel opportunities and more We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

We are seeking a talented Data Scientist to work on an exciting project for the development of Digital Twins for rare disease. You will work within a multidisciplinary project team, across the Open Targets, BioModels and Petsalaki research groups at the EMBL European Bioinformatics Institute (EMBL-EBI). This project is funded through the Chan Zuckerberg Initiative with a strong emphasis on making datasets and models open source where possible. 'Digital Twins' involve creating virtual models of real-world patients to simulate their disease trajectories and therapeutic response, which requires modelling complex multi-omics data and clinically relevant endpoints. By their very nature, rare diseases (RDs) are rare - but collectively they account for around 7,000 diseases affecting approximately 300 million individuals worldwide. Due to the heterogeneous and rare/ultra-rare nature of these diseases, having enough samples for each disease (and at a single cell molecular level) is a major challenge. This hinders the ability to study the cause and mechanisms underlying these diseases and thus is a major obstacle for diagnosis and designing treatment options for these patients. To address this challenge, this project aims to develop 'Digital Twins' of rare disease patients by combining mechanistic, GenAI and other machine learning framework models to integrate patient-level multi-omics and clinical data to provide insights into rare diseases. The models will utilize extensive public datasets of single-cell multiomics including transcriptomics from diverse disease conditions, and simulations from mechanistic models. This will be applied to the challenge of limited multi-omics data for rare disease, with the aim of developing rare disease Digital Twins to provide new insights into disease mechanisms and potential treatments. This is an exciting opportunity to make a significant contribution to our understanding of disease biology which may lead to applications such as diagnosis, drug repurposing and new treatment development. You will be responsible for the processing and harmonisation of multi-omics data from disease and healthy patient cohorts, curating benchmarking datasets to test the models, developing and maintaining collaborations across the rare disease and project community, data stewardship and standardisation. You will work collaboratively within a multidisciplinary project team alongside modellers and scientists from EMBL-EBI, Open Targets, and CZI, as well as the wider Biocuration and rare disease community. Main Duties and Responsibilities The Data Scientist's primary tasks will be to collect and process patient-derived multi-omics datasets linked with clinical phenotypes for several complex and rare diseases. You will also create healthy benchmarking datasets and validation datasets to train and test the models that are developed. You will work closely alongside the ML Modeller and Bioinformatician on the project team, ensuring data is appropriately harmonised, structured and processed through pipeline workflows for use in models. You will also help with testing of the model outcomes and have an opportunity to analyse the outputs. A strong aspect of the role will be helping to coordinate and develop collaborations with the rare disease community. Safe data stewardship will be a key responsibility, as well as ensuring data and models are made open-source and publicly available where possible. In particular, and in addition, to the above, this role will involve: Scoping of publicly available single cell multi-omic datasets with phenotypes at individual level for healthy and disease tissues, with a strong focus on transcriptomic expression data Evaluation of publicly available biomodels for healthy and disease tissues Help coordinate existing collaborations across the rare disease, industry and project community, and help initiate and develop new collaborations Collection and processing of patient-derived multi-omics datasets (single cell where possible) along with clinical phenotypes for the models, using appropriate data standards and ontologies and developing or utilising data processing workflows Curation of validation/benchmarking datasets to train and test the models, and helping to test and validate the model outcomes Taking ownership of data management overall for the project, with responsibility for applying to data access when necessary, data coordination between team members, ensuring data safety, control and ensuring data agreements are adhered to Making datasets and models openly available, when possible, in standardised frameworks for use by the wider community Actively collaborate with global consortia, leveraging advanced biological knowledge to harmonise data from disparate sources. The role may require some international travel to conferences or meetings. You have A Bachelors, Masters (or equivalent) degree in medical or biological sciences A higher degree (PhD) or equivalent experience At least 2 years of relevant data scientist, biocuration or bioinformatics experience Prior experience in working with single cell or bulk transcriptomics, and/or human genomics data analysis The ability to apply scientific knowledge in the understanding of scientific research articles and data records Experience of biological/clinical data curation Experience of working with biological databases Experience in developing and running pipelines to process and harmonise datasets Experience of working in a UNIX/Linux environment, very good scripting skills (R or preferably Python) Willingness to learn new skills as the project requires Self-motivated and capable of working both independently and as part of a team Excellent communication, interpersonal and English language skills. You may also have Prior experience with eQTL or GWAS analysis Prior experience with multi-omics data harmonization and integration Working with pipeline workflow management tools such as Nextflow is desirable Experience in reviewing, interpreting and summarising scientific literature Experience in application of automation, text-mining and/or machine-learning to biocuration Experience of working with ontologies or controlled vocabularies Demonstration of being an active member on a collaborative project Experience working with rare or common disease patient cohort data Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £272 monthly child allowance of £328 per child. Non resident allowance up to £556 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 2 year fixed term contract Salary: Monthly salary starting at £3,229 after tax but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. To apply, please submit a covering letter and CV via our online system. Applications will close on 12/03/2025.

We are seeking a talented Data Scientist to work on an exciting project for the development of Digital Twins for rare disease. You will work within a multidisciplinary project team, across the Open Targets, BioModels and Petsalaki research groups at the EMBL European Bioinformatics Institute (EMBL-EBI). This project is funded through the Chan Zuckerberg Initiative with a strong emphasis on making datasets and models open source where possible. 'Digital Twins' involve creating virtual models of real-world patients to simulate their disease trajectories and therapeutic response, which requires modelling complex multi-omics data and clinically relevant endpoints. By their very nature, rare diseases (RDs) are rare - but collectively they account for around 7,000 diseases affecting approximately 300 million individuals worldwide. Due to the heterogeneous and rare/ultra-rare nature of these diseases, having enough samples for each disease (and at a single cell molecular level) is a major challenge. This hinders the ability to study the cause and mechanisms underlying these diseases and thus is a major obstacle for diagnosis and designing treatment options for these patients. To address this challenge, this project aims to develop 'Digital Twins' of rare disease patients by combining mechanistic, GenAI and other machine learning framework models to integrate patient-level multi-omics and clinical data to provide insights into rare diseases. The models will utilize extensive public datasets of single-cell multiomics including transcriptomics from diverse disease conditions, and simulations from mechanistic models. This will be applied to the challenge of limited multi-omics data for rare disease, with the aim of developing rare disease Digital Twins to provide new insights into disease mechanisms and potential treatments. This is an exciting opportunity to make a significant contribution to our understanding of disease biology which may lead to applications such as diagnosis, drug repurposing and new treatment development. You will be responsible for the processing and harmonisation of multi-omics data from disease and healthy patient cohorts, curating benchmarking datasets to test the models, developing and maintaining collaborations across the rare disease and project community, data stewardship and standardisation. You will work collaboratively within a multidisciplinary project team alongside modellers and scientists from EMBL-EBI, Open Targets, and CZI, as well as the wider Biocuration and rare disease community. Main Duties and Responsibilities The Data Scientist's primary tasks will be to collect and process patient-derived multi-omics datasets linked with clinical phenotypes for several complex and rare diseases. You will also create healthy benchmarking datasets and validation datasets to train and test the models that are developed. You will work closely alongside the ML Modeller and Bioinformatician on the project team, ensuring data is appropriately harmonised, structured and processed through pipeline workflows for use in models. You will also help with testing of the model outcomes and have an opportunity to analyse the outputs. A strong aspect of the role will be helping to coordinate and develop collaborations with the rare disease community. Safe data stewardship will be a key responsibility, as well as ensuring data and models are made open-source and publicly available where possible. In particular, and in addition to the above, this role will involve: Scoping of publicly available single cell multi-omic datasets with phenotypes at individual level for healthy and disease tissues, with a strong focus on transcriptomic expression data Evaluation of publicly available biomodels for healthy and disease tissues Help coordinate existing collaborations across the rare disease, industry and project community, and help initiate and develop new collaborations Collection and processing of patient-derived multi-omics datasets (single cell where possible) along with clinical phenotypes for the models, using appropriate data standards and ontologies and developing or utilising data processing workflows Curation of validation/benchmarking datasets to train and test the models, and helping to test and validate the model outcomes Taking ownership of data management overall for the project, with responsibility for applying to data access when necessary, data coordination between team members, ensuring data safety, control and ensuring data agreements are adhered to Making datasets and models openly available, when possible, in standardised frameworks for use by the wider community Actively collaborate with global consortia, leveraging advanced biological knowledge to harmonise data from disparate sources. The role may require some international travel to conferences or meetings. You have A Bachelors, Masters (or equivalent) degree in medical or biological sciences A higher degree (PhD) or equivalent experience At least 2 years of relevant data scientist, biocuration or bioinformatics experience Prior experience in working with single cell or bulk transcriptomics, and/or human genomics data analysis The ability to apply scientific knowledge in the understanding of scientific research articles and data records Experience of biological/clinical data curation Experience of working with biological databases Experience in developing and running pipelines to process and harmonise datasets Experience of working in a UNIX/Linux environment, very good scripting skills (R or preferably Python) Willingness to learn new skills as the project requires Self-motivated and capable of working both independently and as part of a team Excellent communication, interpersonal and English language skills You may also have Prior experience with eQTL or GWAS analysis Prior experience with multi-omics data harmonization and integration Working with pipeline workflow management tools such as Nextflow is desirable Experience in reviewing, interpreting and summarising scientific literature Experience in application of automation, text-mining and/or machine-learning to biocuration Experience of working with ontologies or controlled vocabularies Demonstration of being an active member on a collaborative project Experience working with rare or common disease patient cohort data Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £272 monthly child allowance of £328 per child. Non resident allowance up to £556 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances Hybrid working arrangements Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover) Generous time off: 30 days annual leave per year, in addition to eight bank holidays Relocation package including installation grant (as applicable) Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely) Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances Contract duration: This position is a 2 year fixed term contract Salary: Monthly salary starting at £3,229 after tax but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances) International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants. Diversity and inclusion: At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ and individuals from all nationalities. Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you. To apply, please submit a covering letter and CV via our online system. Applications will close on 12/03/2025.

Medicinal Chemistry / Chemical Biology Research Scientist Medicinal Chemistry / Chemical Biology Research Scientist Location: Oxford, United Kingdom Job Type: Full time Posted on: Posted 2 Days Ago Job Requisition ID: REQ-24560 General Summary: Vertex Pharmaceuticals has an exciting opportunity at the Oxford site for a Research Scientist to join the Chemical Biology team within Medicinal Chemistry. In this lab-based role, you will be responsible for the design and execution of Chemical Biology experiments to address critical questions for research projects. These could include: designing reagents or tools to evaluate targets; performing experiments to understand compound mechanism of action, target engagement or selectivity; developing novel hit-finding approaches. You will also design and synthesize compounds as part of early drug discovery projects, completing work in a resourceful, timely and self-sufficient manner, to validate hits and advance chemical series towards leads. You will be working as part of an inclusive drug discovery team, in which you will run multiple activities concurrently and adapt to new projects as required. As a member of our team, you will have the opportunity to expand your expertise in drug design and knowledge of the holistic drug discovery process through interactions with colleagues across multiple disciplines in our research labs, with supported training and development materials to help you grow your career within the pharmaceutical company. Key Duties and Responsibilities: Design and perform critical Chemical Biology experiments to assist project teams. Design and synthesize small molecules to support hit validation and hit-to-lead efforts. Design and synthesize chemical probes/tools to support Chemical Biology experiments. Engage, collaborate with, and present data to cross-disciplinary teams from Medicinal Chemistry, Protein Sciences, High Throughput Biology and beyond. Engage proactively with project teams to identify opportunities for Chemical Biology to address critical questions. Maintain a high level of knowledge on the latest advances in Chemical Biology, and apply them to achieve project goals. Contribute to site-wide education in the application of Chemical Biology to drug discovery. Perform other duties as assigned. Knowledge and Skills: Significant practical experience in Chemical Biology relevant to drug discovery (such as, but not limited to, chemical proteomics, target engagement, chemical probe development, novel hit-finding approaches, new chemical modalities, covalent drug discovery). Thorough understanding of the theoretical and practical aspects of synthetic chemistry (synthesis, purification and analytical characterisation). Proven experimental creativity and productivity, with an ability to quickly learn and adopt new concepts and experimental techniques. Effective verbal and written communication with scientists from different disciplines. An understanding of general concepts in medicinal chemistry and other disciplines related to drug discovery (e.g. pharmacology, ADME, drug safety/toxicology). Demonstrate high levels of health and safety awareness, personal integrity and ethics. Education and Experience: PhD (or equivalent degree) in Chemistry, Chemical Biology or related science and 0-3 years of relevant post-doctoral experience, or the equivalent industrial experience. Company Information: Vertex is a global biotechnology company that invests in scientific innovation. This is an onsite role, requiring 5 days per week in our premises. Flex Designation: On-Site Designated Flex Eligibility Status: In this On-Site designated role, you will work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Program and may be changed at any time. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at

Senior Machine Learning Engineer page is loaded Senior Machine Learning Engineer Job Title Senior Machine Learning Engineer Job Description Here at UnderwriteMe, we are on a mission to make life insurance more widely accessible and ensure people and their loved ones are protected when the inevitable happens. We are doing this by reshaping the future of insurance through innovative and global technology products. As we work on solving complex problems that will change how lives are protected, we operate in a fast-paced, challenging environment. The type of people who work for us embrace and relish the challenge and in turn the sense of achievement in helping to solve these problems and making an impact on how lives are protected. We place a great emphasis on challenging the status quo and constantly striving to improve on what we do. We want to get to the point where we are leading the way in the software industry. Being owned by Pacific Life, we have the best of both worlds - the freedom to experiment like a start-up with the stability of our parent company. If you want to bring new ideas to the table and be part of a team working on innovative technology, come and join us. Job Description We are currently seeking an innovative Senior AI / Machine Learning Engineer to join UnderwriteMe within the Text Mining team. This role is pivotal in driving the creation of an innovative product set to disrupt the insurance market. We are looking for candidates with a proven track record in the design and deployment of LLMs for applications within the NLP space, as well as established experience collaborating with product managers, developers, and fellow data scientists within a product-led SaaS environment. What will you be doing? Working within a dynamic cross-functional team that operates based on OKRs (Objectives and Key Results), fostering collaboration among developers, QAs, data scientists, and data analysts, to consistently achieve tangible outcomes aligned with OKR targets. Employing your deep understanding of AI and staying current with industry trends, you will play a pivotal role in shaping project execution by contributing to the OKR formulation process, and directly working towards those. Crafting and refining Machine Learning models and algorithms to address complex product challenges. Devising and implementing innovative data analysis and data mining strategies, extracting valuable insights from diverse data sources. Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data. Formulating predictive models to anticipate future trends, enabling informed decision-making. Constructing automated ML workflows and integrating CI/CD practices to ensure seamless model deployment and recurrent refinement. Architecting, deploying, and overseeing APIs for effective model delivery, while also leveraging external APIs to enhance functionality. Establishing monitoring and logging systems to evaluate model performance, detect anomalies, and guarantee consistent model dependability and accessibility. Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards. Technical Requirements Applied AI and NLP Expertise: Proven experience in applying AI techniques to solve real-world NLP problems, with a focus on delivering scalable, production-ready solutions. Hands-on expertise in fine-tuning pre-trained models such as BERT, GPT, or similar transformer-based architectures for domain-specific tasks in the NLP space. Experience in integrating Large Language Models (LLMs) into applications, with a focus on enabling structured responses, such as through APIs or with purpose-built LLMs. Knowledge of prompt engineering techniques, including designing effective prompts for different tasks, optimizing input/output formats, and leveraging techniques such as few-shot learning. Advanced Python Development Proficiency: Experience with OOP, and data-validation libraries such as Pydantic. Deep familiarity with Python and its ecosystem for AI/ML, including libraries like PyTorch, Hugging Face Transformers, and scikit-learn. Experience with data manipulation using libraries such as Pandas and NumPy, and familiarity with parallelization or asynchronous programming. Proficiency in Test-Driven Development (TDD) and an understanding of Python testing libraries such as Pytest. Cloud, CI/CD & MLOps Knowledge Experience taking models from experiments through to production deployments, with tools such as Docker, Kubernetes & serverless alternatives such as AWS Lambda. Familiarity with MLOps tools such as MLFlow, Kubeflow or Sagemaker. A strong knowledge of cloud platforms (ideally AWS) and their respective services for deploying robust, AI-heavy applications. Bonus Experience Experience with named entity recognition / recommendation systems. Knowledge of Gitlab's CI/CD (or Github Actions). Basic understanding of Java (ideally with Spring Boot). Experience working in a fast-paced, product-led environment. Experience working with data within the insurance / healthcare sector. Ideal Qualities Entrepreneurial Mindset The ideal candidate will possess a product-led, entrepreneurial approach to their work, constantly evaluating new technologies which may facilitate improvements to the product and directly relate back to OKRs. Experience in a fast-paced, start-up environment would be a bonus, with the ability to work both proactively and reactively. Exceptional Communicator / Collaborator The ability to confidently communicate technical concepts to both a technical and non-technical audience (both verbally & written), for example when discussing results, technical approaches, or resolutions to potential blockers. Extensive experience of collaboration with engineers, architects & product teams to enable robust solutions to solve real, well-defined problems. ML/AI Champion A deep appreciation for the possibilities of ML/AI on the application layer, and a strong desire to work on state-of-the-art applications where your ideas could directly translate to enormous business impact. Key Characteristics that we look for when interviewing and that help people thrive at UnderwriteMe: Entrepreneurial: Shows initiative and a proactive approach to identifying and seizing the right opportunities. Shows resilience in the face of challenges and maintains a bias for action. Curiosity: Exhibits a strong desire to learn and understand new concepts. Approaches problems with creativity and persistence, consistently seeking effective solutions. Technically Great: Possesses a deep understanding of relevant technical skills and knowledge applicable to their role. Applies technical expertise effectively to solve complex issues. Strategic Thinker: Understands the broader impact of their role and decisions. Effectively balances immediate actions with strategic planning to ensure alignment with medium-term and long-term organisational objectives. Impact Oriented: Driven by meaningful results, prioritising actions that deliver significant outcomes and contribute to team success. Motivated by value creation and business impact, not titles or status. Adaptability: Open to feedback and willing to learn from others. Shows a growth mindset and the ability to adapt and improve. About UnderwriteMe UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible. Our core products are: a best-in-market Underwriting Rules Engine which can be used to automate any structured data within the underwriting journey, and which is sold in the UK & Ireland, Asia-Pacific and North America the Protection Platform, an end-to-end quote and buy marketplace for Protection in the UK Working for UnderwriteMe Joining UnderwriteMe means being part of a technology company that is committed to bringing a fresh and dynamic approach to insurance. You'd be working with a team of highly technical experts made up of people with backgrounds in software, fintech, and insurance. Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes. Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and wellbeing initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events . click apply for full job details

Upperton Pharma Solutions is a Nottingham-based CDMO that specialises in the development and manufacture of pharmaceutical products, providing a complete service from early-stage feasibility to GMP clinical manufacture. Formulations cover a range of delivery routes, typically including oral (tablets & capsules), nasal and inhaled. Continued growth and investment into the business has led to the creation of exciting new job opportunities; in our new GMP Manufacturing headquarters in Beeston, Nottingham. Upperton Pharma Solutions is undergoing a period of significant expansion to meet international customer demand and offer a comprehensive drug development portfolio, so now is a great time to join our team. Our values ensure that will be joining a team with a truly positive and progressive culture surrounded by state-of-the-art facilities where you as a leader can share your ideas with other gifted and dedicated scientists and clients from around the world all focused on developing new medicines. The Role The Head of Non-Sterile Manufacturing is responsible for all GMP manufacturing operations within the Non Sterile Trent Gateway facility, including but not limited to, process development, scale up, clinical batch manufacture, technical transfer activities, warehouse and logistics. The post holder will be responsible for the operational activities within the Unit 3 manufacturing facility and equipment for which these operations are conducted. The role will have direct line management responsibility for operational staff within these functional areas. The post holder will ensure that all operations are developed and conducted within the framework of the Upperton Pharma Solutions Quality Management System and that the facility and operation is qualified to meet the regulatory requirements as set out by regulatory authorities. The post holder will also be responsible for building operational capabilities for commercial manufacturing. Main duties and responsibilities: Ensure that all manufacturing operations within the GMP facility are fully compliant with the Upperton Quality System and meet current regulatory requirements. Facilitate the development and qualification of all processes and systems relevant to Non Sterile operations within Upperton. Lead facility tours for client visits / audits and regulatory inspections. Responsible for implementation of the Upperton Quality system in the Non Sterile GMP facility Ensuring that all activities and outputs meet the Upperton quality system Direct all scale up and production activities to ensure that project deliverables and targets are successfully met and are of the highest quality. Manage and develop the Non Sterile GMP manufacturing and support teams and be responsible for their performance, training and regular appraisal Responsible for the Non Sterile GMP facility (including environmental controls), adherence to equipment planned preventative maintenance, calibration and qualification and any requirements for process qualification / validation. Ensure that all documentation emanating from the GMP facility meets the requirement of the Upperton Quality system including operating records, batch manufacturing records and project reports Participate in customer contacts and business planning. Track project activities from a commercial perspective. Ensure that commercial deliverables are tracked and fully met. Liaise with Project Management and Finance to ensure that correct invoices are sent out on time Provide critical support and focus on Non Sterile projects, focusing on Technical transfer and process scale up activities conducted both internally at Upperton and for projects outsourced to third party vendors. Provide critical support and focus on Sterile projects, focusing on technical transfer and process scale up activities conducted both internally at Upperton and for projects outsourced to third party vendors. Essential skills required: Proven leadership and management skills with the ability to optimise team performance and development Excellent relationship management skills with the ability to engage, negotiate and manage key stakeholders across internal departments Excellent communication, interpersonal and influencing skills Excellent analytical and problem solving abilities Results orientated with ability to plan and deliver against project deadlines Commercially and financially astute with experience of managing budgets Resilient, self motivated and able to work well under pressure Technical mindset An appreciation of and an ability to positively resolve issues Essential experience required: Educated to degree level or equivalent in a relevant science / engineering /manufacturing discipline. Demonstrable experience of developing and leading a manufacturing function with a proven track record within a pharmaceutical non sterile manufacturing environment. Intimate knowledge of the regulatory requirements covering Investigational Medicinal Products. A knowledge of Commercial manufacturing is desirable. Ability to add value, reduce costs and make business improvements Experience of operating and influencing at a strategic level Knowledge and technical understanding of sterile manufacturing processes. What you will get in return We offer employees not only a competitive salary but also an excellent suite of benefits including: 33 days holiday (inclusive of public holidays) and your birthday off! Company contributory pension package Life insurance Private Medical Insurance through Vitality Internal and external training courses and professional development support Free onsite car parking We know it is the little things that make every day special, so we also organise employee events for you to attend throughout the year, like our annual Christmas party, summer party and charity fund raising events. Apply. Name First Last Email Phone How did you find out about this position? Current Employee Job Website Search Engine Social Media Upload your CV Click or drag a file to this area to upload. Upload your covering letter Click or drag a file to this area to upload.

Associate Director/Principal Scientist Computational Biology How to apply Please send your CV, quoting Associate Director/Principal Scientist Computational Biology in the subject line to Job Description: Associate Director/Principal Scientist Computational Biology Company Description NeoPhore is a biotech company targeting the dynamics of cancer neoantigen evolution through inhibition of the DNA mismatch repair ("MMR") pathway, by changing the genotype of the tumour, to discover effective, well-tolerated medicines that will provide the next generation of cancer immunotherapies. NeoPhore collaborates closely with many academic and commercial organisations, including NeoPhore's scientific founders Professor Alberto Bardelli and Dr Giovanni Germano at the University of Turin and Milan. NeoPhore currently has 13 full time employees and operates a mainly virtual drug discovery & development model. We have a dedicated internal Cancer Cell Biology (CCB) laboratory based at City St George's University, in South London, where most of the innovative Biology associated with the progression of a first-in-class molecule is being performed. An opportunity has arisen for a genomics next generation sequencing ("NGS") expert and talented Computational Biologist to join our team. Role Description Summary NeoPhore is seeking an experienced, independent, highly motivated, rigorous, and resilient computational biologist to lead our computational biology and bioinformatics function. A background in (immuno-)oncology is essential along with a strong desire to contribute to the progression of the understanding of a novel drug discovery field, through outstanding expertise in Bioinformatics & Genomics. Evidence for a flexible and cooperative approach to working in a dynamic, collaborative and multi-disciplinary team environment, together with strong team ethic, are also essential. The successful candidate will be leading the bioinformatics effort at NeoPhore, able to extract biological insights from experimental data, following a vast experience of contributing and/or overseeing the exploitation of computational pipelines for NGS data in genomics with tumour mutational burden and COSMIC mutational signatures. Important aspects of this role include the ability to work and communicate effectively with team members and internal stakeholders from a wide variety of backgrounds. The ideal candidate will possess a strong desire to work in a fast-moving small molecule-focused translational research environment and needs to be highly self-motivated and organised. The position is remote with regular visits to the team in NeoPhore's CCB laboratory in London (UK). Objectives and Responsibilities of this Role NeoPhore's lead in Computational Biology & Bioinformatics will be a Genomics expert, responsible for executing the strategy and the data output from experimentally impactful cancer cell biology. Responsibilities include: Lead on NeoPhore's Bioinformatics and Computational Biology strategy Translation of long-term strategy into near-term tactical priorities for the computational biology and bioinformatics setup Responsible for all the bioinformatics pipelines, internally and with CROs, AWS, data archiving, data presentation/interpretation and ultimate relevance in the context of immune-oncology clinical landscapes Supporting NeoPhore's preclinical Genomics NGS analysis in collaboration with partner CROs Development & optimisation of biomarker(s) of efficacy discovery and validation - genotypic changes characteristic of MMR inhibition Selecting appropriate cellular models in vitro and in vivo preclinically Identification of patient stratification biomarkers Unravelling MMR-Biology and compound/MMRi MoAs Contribute to clinical disease positioning Assess and summarise literature findings to identify technical solutions and support project progression Work collaboratively within a matrix environment Analyse and interpret experimental results using data analysis software tools, including in the context of online databases and platforms Communicate and present scientific data in a timely fashion to contribute maximum impact to project strategy and decision-making Maintain an up-to-date Bioinformatics storage compatible with due diligence Drive innovation in computational biology methods and stay abreast of the latest developments in the field The data produced is expected to make a significant impact on NeoPhore's understanding of the MMR pathway and the discovery of small molecule therapeutics. Previous experience required for this Role Minimum of 7 years of industry experience in Computational Biology or Bioinformatics with experience building and/or leading computational biology and/or bioinformatics in the biotech or pharmaceutical drug discovery sectors preferred but relevant experiences within the academic setting will also be considered. Expertise preclinically in murine cell models will be highly advantageous. Expertise in preclinical human cancer cell models is required, cell lines, CDXs, PDXs and ideally clinical samples with both solid and liquid biopsies. Previous experience in a clinical stage company will be considered advantageous. Successful exemplification of high-quality scientific achievement through computational pipelines to enable the generation of biological insights, specifically with NGS. Previous involvement in biomarker discovery and implementation. Demonstrated ability to work collaboratively in a multidisciplinary setting. Good knowledge of small molecule translational research. Knowledge of DDR in immuno-oncology will be advantageous and/or Colorectal cancer and/or MSI vs. MSS tumours (preferable). Qualifications PhD in biological sciences; Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field - ideally, in (immuno-)Oncology. Skills Required: NGS analysis expert - particularly WES at high depth, but also low pass WGS: TMB (including a qualitative assessment; SNVs, Insertions, Deletions); COSMIC mutational signatures (SBS, DBS, ID) including robust deconvolution and Cosine similarity scores; Mutational gains and enrichment with COSMIC signatures relationship. MSI status (MSI scores from NGS; other technologies including databases predictions). Neoantigen and MHC binding prediction knowledge and experience - insights into genomics & immuno-oncology relationships, particularly with regards to adaptive immune responses. Knowledge of the interrogation of relevant oncology online databases. Storage of raw data, pre-analysed data and fully analysed data with presentation skills to internal organisation as well as external stakeholders. Due diligence experience will be advantageous. Evidence for excellent, concise oral and written communication skills; for example oral presentation of key findings, on a Teams call with various members of the team - this is critical in the context of a virtual operational mode. Attention to detail, highly organised, with evidence for successful time-management and an ability to work under pressure towards tight deadlines. Active listening skills that enable effective implementation of plans agreed with senior management and in team discussions. Team player at heart with excellent inter-personal skills for building and maintaining good working relationships both within the NeoPhore team and with partner CROs and collaborators. Preferred: Previous experience working with external CROs. Extensive knowledge of DepMap from the Broad Institute. Insights into MMRd/MSI-H genotypic features (COSMIC) in oncology and hereditary diseases CMMRD and Lynch - capacity to interrogate related and relevant databases and/or insights into the specifics of colorectal cancer and/or insights into microsatellite analysis, including MMRpredict score. Insights into the clinical context of checkpoint blockade in immuno-oncology. Insights into Werner and therapeutic intervention context/programs - DNA secondary structures during/post-replication. RNAseq, Nanostring, pathway analysis insight and capabilities (including in the context of Immuno-Oncology). Epidemiology analysis in the context of cancer (genotoxic inducers). Appointment Details: The full-time position is home-based with regular visits to the CCB laboratory facilities, based at City St George's University, London, UK, and reporting to the Director of Biology. Compensation package to be agreed according to qualifications, including competitive salary, as well as benefits.

Data Scientist/ Comp Biologist - PhD Graduate - 12 month consulting contract London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams, collaborating closely to redefine the boundaries of possibility in drug discovery. Our state-of-the-art wet and dry laboratories, located in the heart of London, provide an exceptional environment to foster interdisciplinarity and turn groundbreaking ideas into impactful therapies for patients. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. We cultivate innovation through collaboration, empowering every team member to do their best work and reach their highest potential. By joining Relation, you will become part of an exceptionally talented team with extraordinary leverage to advance the field of drug discovery. Your work will shape our culture, strategic direction, and, most importantly, impact patients' lives. Opportunity This is an exciting opportunity for recent PhD graduates to transition into the industry and contribute to cutting-edge computational biology projects. Over a 12-month period, you will gain hands-on experience in applying computational techniques to real-world challenges. As part of the Cross Indication team, you will work across multiple programme areas, applying computational methods to multi-omics data. This team supports target identification and validation efforts, combining biological insights with state-of-the-art computational tools. Your responsibilities Perform computational analyses on multi-omics datasets to support target discovery efforts. Collaborate with cross-functional teams to integrate computational findings into experimental workflows. Develop and refine computational pipelines for data analysis and visualisation. Contribute to advancing methodologies for interpreting complex biological datasets. Professionally, you have PhD in computational biology, bioinformatics, or a related field. Proficiency in Python for data analysis and computational modelling. Strong problem-solving and analytical skills in handling biological data. Ability to work effectively in interdisciplinary teams. Desirable knowledge or experiences Experience with single-cell data analysis. Familiarity with machine learning techniques in biological contexts. Personally, you are Inclusive leader and team player. Clear communicator. Driven by impact. Humble and hungry to learn. Motivated and curious. Passionate about making a difference in patients' lives. Join us in this exciting role, where your contributions will directly impact advancing our understanding of genetics and disease risk, supporting our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer. Note - This position is available as a contractor role via Hlx Life Sciences' services (inside IR35), remunerated on a daily rate.