1453 jobs found

Lloyd's Register Foundation is seeking a Senior Data and Insight Scientist to lead analytical work across flagship programmes, bridging technical depth with clear, accessible insights for decision-makers. The role combines advanced analytics, applied statistics, and high-quality communication to strengthen the Foundation's evidence-led safety approach. Based in a hybrid role, you will shape research questions, develop reproducible workflows, and collaborate with international partners to produce

Research Scientist, Safety Oversight, DeepMind link Copy link corporate_fare DeepMind place London, UK link Copy link PhD in Computer Science, a related field, or equivalent practical experience. Experience in the domain area of generative AI and Large Language Models (LLM). Experience building and shipping technical products. Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. 3 years of experience developing code, running experiments and analyses collaboratively with coding agents. Experience building highly parallelised data pipelines, working on data quality, automated evaluation design and simple statistical modeling. Proven ability in approaching new research questions and implementing technical solutions for them at scale. Ability to use AI every day to build and find ways to push the frontier of model capabilities to accelerate work. About the job We aim to turn production data into intelligence on the safety of deployed AI models. Safety Oversight is a new team tasked with using large-scale production traffic and a variety of automated evaluation methods to monitor the safety and alignment of deployed models. Our work will ensure we measure the real-world efficacy of our safety stack-both of in-model safety training and out-of-model safety mitigations to ensure we are effective in our goal of deploying safe models that are used for widespread public benefit. The Safety Oversight team sits within the GenAI safety organization and is accountable for ensuring that when a model safety issue occurs in production, or when a user is misusing our model at scale, we detect and understand it, so the safety risk can be rapidly mitigated. We will collaborate closely with teams working on safety training and evaluation for Gemini and GenMedia models. The Generative AI (GenA)I Safety team operates in a fast-paced, highly collaborative environment. We take the possibility of tangibly dangerous model capabilities seriously as AI advances, and we believe that proactive monitoring and deployment-time oversight are critical for safe AI development. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Responsibilities Build classifiers and data pipelines to detect model misbehavior and misuse end-to-end. Research and develop cross-context monitoring systems to detect coordinated harms, developing novel signal aggregation methods across disparate user sessions to identify large-scale attack vectors. Think critically about novel methods for monitoring using model activations, actions, chains-of-thought and final answers. Collaborate closely with infrastructure teams and data scientists to scale your work and regularly share results with the wider safety team. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

DeepMind is hiring a Research Scientist for Safety Oversight to help turn production data into actionable insights on AI model safety and alignment. You will develop monitoring systems and evaluation methods across GenAI safety, Gemini, and GenMedia projects to detect risks in production and guide rapid mitigations. The role emphasizes building scalable data pipelines, complex signal analysis, and collaboration with cross-functional teams to advance safe AI deployment at scale.

The Opportunity We are looking for a highly skilled machine learning researcher with significant experience in generative modeling. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role you will architect novel generative models with the goal of designing new proteins that are functional in wet lab assays. Who you are You are a strong ML researcher with experience in generative modeling. You have led or worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues. You have a proven track record of deep expertise in generative modeling. You are a skillful ML developer. You write ML code that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker who can also write beautiful production code. You have experience running training and inference on cloud hardware, parallelizing data and models across accelerators. You are a data engineer. You have experience building ML data pipelines for the training and evaluation of deep learning models. You are able to analyze the raw data, construct appropriate dataset splits and build pipelines that perform and scale. You are passionate about model performance. You have an intricate understanding of how ML libraries interplay with hardware and data and love to optimize deep learning models for training / inference speed. You have a deep knowledge of best principles and tricks in architecting deep learning models and use it to optimize how they perform on validation metrics. You are mission driven and curious. You are passionate about making a positive impact on the world, whether it's for patients, customers or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are curious about problems, however small or big they appear. You thrive in a dynamic environment. You work well in a fast-paced setting where goals must be achieved efficiently and urgently. What sets you apart You have experience in computational biology or protein design. You have worked on ML-driven projects in biology. You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields. Your Responsibilities Build machine learning models that work in the physical world 90% of your time : Contribute to a careful curation of our training and evaluation data. Propose and build ML evaluation metrics that align with real world success and company goals. Quickly prototype generative models against our lead metrics and perform deep analyses of improvements. Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards. Contribute to the maintenance of our compute and ML development infrastructure. In collaboration with the bio team, plan wet lab testing campaigns and carry out model inference against biological targets to enable their testing in the wet lab. Quickly learn from wet lab results and feedback data to our models. Self development 10% of your time : Stay on top of the latest developments in ML. Gain a strong working understanding of protein and cell biology. Participate in knowledge sharing, e.g. organize and present at our internal reading group. Attend and present at conferences. 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.

Why the company? We established the company in 2014 because we thought that AI would be the most important technology of our time. Since then, we've worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don't chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we're always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you'll be empowered to envision its most powerful applications, and to make them happen. About the team Our education team, part of the company's Public Services Business Unit, works with the organisations that shape education - from governments and school groups, to publishers, education companies, and assessment organisations - to design, build and assure AI systems in high-stakes settings where safety, accuracy and efficacy genuinely matter. Recent work includes national education infrastructure, AI tutoring, assessment and content-quality systems, and the safety and evaluation of AI used by children. The market we serve is shifting from "can AI do it?" to "can you prove impact?". Our clients increasingly want help building AI solutions that are engineered to improve learning outcomes, teacher time, and quality, and that are safe by design - and that is precisely why this role exists. About the role As Lead Learning Scientist, you will ensure that our clients' AI-powered education solutions are grounded in learning science, measurably effective, and set a global standard for what trustworthy AI in education looks like. You will define and lead the learning science discipline at the company: setting the strategy for learning design and evaluation, creating and owning our Learning Science Playbook, and ensuring the systems we build genuinely improve how people learn. Working closely with senior leadership and multidisciplinary delivery teams, you will shape the design of scalable, data-rich learning systems in close partnership with product, engineering and data science, and guide colleagues to embed best-in-class learning science into everything we design and build for clients. This is a founding leadership mandate, and the variety and stakes are unusual: in a single year you might shape national curriculum-grounded infrastructure, the evaluation architecture for a high-stakes assessment product, and the safety case for an AI system used by children - in an organisation that treats evidence, evaluation and safety as the product, not a compliance afterthought. What you'll be doing Leading the design of learning goals, skill models, adaptivity logic and feedback systems across flagship client engagements - from national education infrastructure to tutoring, assessment and content-quality systems. Creating and owning the company's Learning Science Playbook - defining best practice for scaffolding, feedback loops, measurement rubrics and data instrumentation (how we track learning progress through user interactions), applied across every build. Designing and overseeing rigorous evaluations - formative, summative and quasi-experimental - that give clients credible evidence their systems improve learning, not just plausible outputs. Partnering with product, data science and engineering leads within delivery squads to ensure learning systems are technically robust and pedagogically sound - translating learning science into requirements engineers can build and test against. Contributing learning science expertise to the company's safety and assurance work, helping evidence that AI systems used in education are safe, effective and fit for purpose. Coaching and mentoring colleagues across product, UX and data science to apply learning science principles in day-to-day design and delivery decisions. Acting as the internal and external subject-matter expert on learning science, representing the company in strategic conversations with senior client stakeholders. Who we're looking for ESSENTIAL Expert-level knowledge of the learning sciences, instructional design, and cognitive or behavioural science. The ability to translate learning science into clear, specific requirements that technical teams can build against - you make pedagogy build-able. Strong working practice in evaluating and measuring learning impact (for example mastery, retention and transfer), including designing studies and deciding what data to capture. Experience working with technical teams - engineers, data scientists or product developers - to shape what gets built. You need not have written the code yourself, but you have influenced how real systems were designed and can hold credibility with the people who build them. Technical literacy in how AI systems are built, with a genuine appetite to deepen that knowledge quickly. Excellent communication skills: able to influence senior stakeholders - internally and client-side - and to represent the discipline externally. DESIRABLE (NOT REQUIRED) Hands-on experience building AI-driven or adaptive learning systems. Familiarity with LLM architectures, retrieval-augmented generation, evaluation harnesses or learning analytics pipelines. Experience across multiple client or product contexts - for example consulting, agency or platform settings serving many institutions. Our Interview Process Talent Team Screen (30 minutes) Project Deep Dive with the Head of Education (60 minutes) - you will walk us through one project you have led from conception to delivery Case Study and Technical Interview (60 minutes) - we will send you the brief 72 hours ahead Cultural and Leadership Interview (60 minutes) Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We're united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don't feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours. Find Jobs in United Kingdom on Arbeitnow

United States Digital Space LLC is seeking a Lead Learning Scientist to ground AI-powered education solutions in learning science and to set a global standard for trustworthy AI in education. You'll work with product, engineering, data science and client teams to design scalable, data-rich learning systems, develop the Learning Science Playbook, and drive evaluations that demonstrate real learning gains.

AI Chopping Block is looking for a skilled machine learning researcher in Greater London to join their innovative team. This role involves architecting generative models aimed at designing proteins for wet lab assays. Candidates are expected to have strong backgrounds in ML, experience with notable projects, and familiarity with data engineering tasks. A competitive compensation package, including private health insurance, pension contributions, and generous leave policies, will be offered, along with a dynamic and impactful working environment.

The opportunitySubstrate is building a network of fully autonomous wet labs, cloud-based data production facilities for AI biology, integrated with foundation models to become the critical infrastructure layer for AI-driven biological discovery. Our first node opens in King's Cross, London, with several integrated workcells and two scientific verticals online by mid-2027. Our customers range from foundation model labs to global pharma. We are hiring across three tiers - Lab Technician, Scientist, and Principal Scientist in functional genomics. This is the second scientific vertical we are bringing online, alongside protein science. The vertical covers cell line engineering, perturbation library design, screen execution, and bulk and single-cell sequencing readouts, with the resulting data feeding customer pipelines that include foundation model training for virtual cell models. Manual development of the day-1 screening workflow is starting now, and full autonomous execution on workcells is targeted for mid-to-late 2027. You will be the bench scientists who develop, validate, and operate the screens through that transition: running them by hand, setting reproducibility and quality thresholds, working alongside automation engineers as the screens move onto instrumentation, and validating equivalence at every step. The Head of Functional Genomics you will work under is being hired alongside you. About SubstrateSubstrate is spinning out of Automata, the UK lab automation company that has built the workcell platform our labs run on. Our four co-founders are Mostafa ElSayed (CEO and founder of Automata), Oli Hoy (formerly VP Customer Experience at Automata), Alexey Morgunov (AI Scientist co-founder, leading the intelligence software product), and a Founding Biology Lead joining shortly. We are aiming to have ramped up to 32 people by the end of Q1 2027. We are funded in parallel by a combination of venture funding and government grants. We are not a cloud lab and we are not a CRO. We are an autonomous lab platform with closed-loop integration available as one operating mode for foundation model partners. The roleYou will be at the bench. The work is to develop, validate, and operate the screens that will eventually run autonomously on Substrate's workcells. In the first phase, that means manual screen development: cell line preparation, library cloning and QC, lentivirus production, screen execution, sequencing sample prep, and the readout pipeline - all by hand, setting reproducibility and quality thresholds, and proving each step out before it moves onto instrumentation. As the workcells arrive, the work shifts toward instrumented execution, equivalence validation, and the engineering judgement calls that decide which manual steps get automated and which stay in human hands. We are hiring across three levels: Principal Scientists own a slice of the screening workflow end to end: scoping it with the Head, designing the manual protocol, validating it to acceptance thresholds, authoring the SOPs that translate to workcell design, and seeing it through to automated execution. Scientists work alongside Principal Scientists at the bench, executing the experiments, contributing to validation work, and growing into protocol authorship over the first year. Lab Technicians are the hands on execution layer: following established SOPs, preparing reagents and consumables, maintaining equipment, and running routine steps of validated protocols so that Scientists and Principal Scientists can focus on design and troubleshooting decisions. All three tiers work directly with our automation engineering and software teams on the boundary between scientific protocols and autonomous execution. What is unusual about the work is that no screen in this vertical is being retrofitted onto automation. Every protocol is designed for AI-in-the-loop execution from the first manual run. The data each screen produces - cell line provenance, library composition, perturbation metadata, sequencing QC, consistency across runs - is treated as a first class scientific constraint, because that data feeds directly into foundation model training pipelines for our customers. Your decisions at the bench affect what the orchestrator has to do and what data flows back to model partners. What you will do in your first twelve monthsPHASE 0: NOW TO AUG 2026• Land in the lab. Set up your bench at our King's Cross site and start manual screen development alongside the Head of Functional Genomics. Get hands on the day 1 wedge as the Head scopes it: which cell line, which library, which sequencing readout. Run the early steps by hand and capture the data structure and metadata decisions that will translate to workcell design. For Principal Scientists: contribute to the day 1 wedge decisions and begin authoring SOPs for your slice of the screening workflow. Help interview the Scientists and Lab Technicians joining alongside. PHASE 1: SEP TO DEC 2026• Develop and validate the first screens manually. Set the reproducibility and quality thresholds that will serve as acceptance criteria for the moves to instrumented and to fully autonomous execution. Co design protocols with the software and automation engineering teams so that the manual versions you validate are automation ready by design. Decide which manual judgement calls have to be engineered out before they hit a workcell. Contribute to co design conversations with the first commercial customers, including the foundation model partners coming online from 2027. PHASE 2: JAN TO MAR 2027• Workcells arrive in the lab. Move the validated screens onto them, running with instrumentation and human intervention in the loop. Validate equivalence against your manual baselines and triage failures. Open the screening menu to customers via manual and semi automated services. Run real experiments for real customers. Help bring on the next Scientists and Lab Technicians as the vertical grows. Who you areYou are a functional genomics scientist who is excited about doing the actual work - designing, running, validating, and iterating on screens at the bench. You are comfortable in the detail. You have done at least one screening modality end to end. The shape of the problem is what attracts you: screens that have to be designed for autonomous execution from day one, in a business where the data the lab produces is itself part of the product. You write good SOPs. You hold yourself and your colleagues to clear reproducibility thresholds. You are pragmatic about being hands on in the early phase, with cadence that will be heavy in the manual development phase and ease as protocols move onto instrumentation. You enjoy working at the boundary with non biologist colleagues - automation engineers, software engineers, AI researchers - and you do not require them to be scientifically fluent before you will collaborate with them. We are hiring across three tiers - Lab Technician, Scientist, and Principal Scientist. The shape of the work is hands on bench science at all levels, with collaboration into automation and software. The difference is depth of ownership, design authority, and team responsibility. MUST HAVE for all three tiers Hands on cell culture experience, including CL2 wet lab work with mammalian cell lines. Hands on experience in at least one component of pooled screening: cell line preparation, library cloning and QC, lentivirus production, screen execution, or sequencing sample prep. Comfortable executing protocols at the bench through manual, semi automated, and instrumented phases. Track record of working alongside non scientist colleagues (automation, software, computational) on a shared workflow. MUST HAVE - Lab Technician Relevant hands on lab experience (including A level lab work, apprenticeships, or technician roles) is the primary consideration. Comfortable following written SOPs precisely and flagging deviations. You do not need to design experiments, but you do need to execute them reliably and communicate clearly when something looks off. Hands on familiarity with basic wet lab techniques: pipetting, buffer preparation, sample handling, and equipment maintenance. Experience in a cell biology, genomics, or molecular biology lab setting is helpful but not required. Comfortable working in a fast paced, early stage environment where protocols are still being written. You are methodical, safety conscious, and do not take shortcuts. MUST HAVE - Scientist Three or more years of post PhD or equivalent industry experience in functional genomics, cell biology, or molecular biology with a screening adjacent focus. Strong hands on competence in cell culture and in at least one of: library cloning, lentivirus production, single cell capture, or NGS sample prep. Ready to grow into protocol authorship and SOP ownership over the first 12 months. MUST HAVE - Principal Scientist Seven or more years of experience in functional genomics or related disciplines (target validation, perturbation screening), with at least one screening modality (CRISPR knockout, CRISPRi knockdown, or analogous) run end to end: cell line preparation, library design, screen execution, sequencing readout, and hit calling. SOP and protocol authorship that other scientists have run successfully. Has supervised at least one junior scientist or technician. NICE TO HAVE . click apply for full job details

Substrate seeks functional genomics scientists to develop, validate, and operate screening workflows at the bench, from manual steps to automated execution on workcells. You will design, run, and optimize cell-based screens integral to foundation-model-enabled pipelines. You will work with automation and software teams, author SOPs, and help transition processes to autonomous operation while maintaining strict reproducibility and data integrity.

Clinical Biomarker Lead, Senior ScientistApplylocations: Paris: Londontime type: Full timeposted on: Posted Todayjob requisition id: R-21893 Title: Clinical Biomarker Lead, Senior Scientist Company: Ipsen Innovation (SAS) About Ipsen: Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation. Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human-centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company's success. Join us on our journey towards sustainable growth, creating real impact on patients and society!For more information, visit us at and follow our latest news on LinkedIn and Instagram . Job Description: Job Title: Clinical Biomarker Lead, Senior Scientist Division / Function: Early Development, Translational Sciences Location: London or Paris WHAT - Summary & Purpose of the Position To develop and lead clinical biomarker strategies that enable data-driven decision-making across clinical development and maximize the value of Ipsen's oncology and rare disease portfolio. The Biomarker Lead serves as a strategic partner to cross-functional development teams, ensuring biomarker approaches are scientifically robust, aligned with program objectives, and support critical development milestones.The position provides biomarker leadership from early clinical development through registration, defining data-generation strategies that inform patient selection, mechanism of action, clinical benefit, and regulatory decision-making. The role contributes expertise in biomarker development, validation and implementation while fostering innovative approaches that strengthen Ipsen's biomarker capabilities across therapeutic area s. WHAT - Main Responsibilities & Technical Competencies Develop and lead clinical biomarker strategies across Ipsen's oncology and rare disease portfolio to support critical development and portfolio decisions. Define biomarker plans to support target engagement, pharmacodynamic and mechanistic understanding, patient stratification, and support efficacy assessment across clinical development. Provide strategic leadership for biomarker data generation from early clinical development through late-stage and registration-enabling studies, as appropriate. Select and apply the most appropriate biomarker technologies and analytical approaches to address program objectives, including cellular, tissue-based, genomic, transcriptomic, proteomic, and emerging platform technologies. Drive implementation of biomarker strategies within clinical studies, including development of protocols, schedules of activities, laboratory manuals, biomarker analysis plans, and study-related documentation. Provide scientific oversight of biomarker assay development, fit-for-purpose validation, and analytical performance assessments to ensure data quality and fitness for intended use. Collaborate with Clinical Development, Translational Pharmacology, Companion Diagnostics, Clinical Pharmacology, Biostatistics, Clinical Operations, Regulatory Affairs, and external partners to ensure successful execution and interpretation of biomarker activities. Lead the selection, oversight, and performance management of external laboratories, CROs, and other vendors supporting biomarker development and analysis. Contribute to biomarker components of statistical analysis plans and integrate biomarker findings into study interpretation and development strategy. Author, review, and contribute to biomarker sections of protocols, study reports, regulatory submissions, briefing documents, and health authority responses. Represent Biomarkers on cross-functional project teams and governance forums, effectively communicating biomarker strategies, risks, opportunities, and key findings. Manage biomarker budgets, contracts, timelines, and outsourcing activities in accordance with Ipsen processes and standards. Maintain current knowledge of emerging biomarker science, diagnostic technologies, and global regulatory expectations relevant to biomarker and precision medicine development. Ensure compliance with applicable regulations, industry standards, Good Clinical Practice (GCP), Good Laboratory Practice (GLP), and Ipsen SOPs. HOW - Behavioural Competencies Required Communicates Effectively - Translates complex scientific concepts into clear, impactful messages tailored to diverse audiences, from technical experts to senior leaders and non-scientific stakeholders. Influences - Builds alignment and gains commitment across cross-functional teams and external partners to advance biomarker strategies and achieve program objectives. Manage Complexity - Evaluates scientific opportunities and competing priorities critically, focusing efforts on biomarker approaches that generate meaningful evidence and support decision-making. Adaptability - Remains effective and resilient in a rapidly changing environment, adjusting priorities and approaches in response to evolving program and portfolio needs. Collaborates - Builds productive relationships across functions, fosters an inclusive and supportive team environment, and leverages diverse expertise to achieve shared goals. HOW - Knowledge & Experience Knowledge & Experience (essential): Experience supporting biomarker activities across clinical development, including design and implementation of biomarker plans within clinical studies. Strong understanding of translational science and the role of biomarkers in informing target engagement, pharmacodynamic activity, mechanism of action, patient stratification, efficacy, and safety. Experience applying a range of biomarker technologies and platforms, including tissue-based, cellular, genomic, transcriptomic and proteomic approaches. Knowledge of biomarker assay development, fit-for-purpose validation, analytical performance assessment, and data quality requirements for clinical studies. Strong scientific problem-solving skills, with the ability to critically evaluate opportunities, risks, and evidence to support practical, decision-focused biomarker strategies. Excellent written, verbal, and presentation skills, with the ability to communicate complex scientific concepts effectively to both technical and non-technical audiences. Experience in oncology and/or rare disease drug development is strongly preferred.Knowledge & Experience (preferred): Demonstrated experience developing and executing biomarker strategies in pharmaceutical or biotechnology drug development, with responsibility for influencing key development decisions. Experience integrating biomarker data into clinical development strategies and communicating biomarker insights to multidisciplinary teams and senior stakeholders. Experience working within cross-functional matrix teams and collaborating effectively with Clinical Development, Clinical Operations, Biostatistics, Regulatory Affairs, Translational Medicine and external partners. Working knowledge of drug development, clinical trial design, and applicable GxP requirements relevant to biomarker implementation. Experience selecting and managing CROs, external laboratories, and other scientific partners to deliver high-quality biomarker data. Experience supporting late-stage or registration-enabling clinical development programs is preferred. Experience contributing to regulatory submissions, health authority interactions, or biomarker-related regulatory documentation is preferred.Education / Certifications (essential): PhD in Immunology, Oncology, Life Sciences, or a related scientific discipline. Equivalent combinations of education, scientific training, and relevant industry experience may be considered.Education / Certifications (preferred): PhD and post-doctoral studies in Immunology or OncologyLanguage(s) (essential): English: Business level, oral and writtenLanguage(s) (preferred): French: Business level, oral and written

AVEVA is creating software trusted by over 90% of leading industrial companies. Position: Principal Research Scientist - Frontier Industrial AI Location: Cambridge/ London, UK, All EMEA, (hybrid) Organization: AVEVA CT AI Research Role type: Individual contributor The role AVEVA's frontier AI research team, as part of the Chief Technologist Organization, focuses on developing the next generation of industrial intelligence. We are looking for exceptional researchers who combine original thinking with the ability to turn ambitious ideas into working systems. You will define and pursue high-impact research questions, build experimental prototypes, publish influential work, and create defensible intellectual property. Research may span industrial foundation models for time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways to move difficult initiatives forward. What you will do Define and lead ambitious research initiatives in frontier industrial AI. Develop new models, algorithms, evaluation methods, and system architectures. Build high-quality experimental systems and validated research prototypes. Publish at leading AI and machine learning venues and contribute to AVEVA's patent and IP portfolio. Create benchmarks, datasets, and evaluation frameworks for industrial AI. Partner with leading AI labs, universities, and technology organizations. Take research from initial hypothesis through prototype and validation. Help shape AVEVA's longer term AI research direction and technical strategy. What we are looking for A PhD or equivalent research experience in machine learning, artificial intelligence, computer science, applied mathematics, engineering, or a related field. Evidence of original research through strong publications, patents, open-source work, prototypes, or other meaningful technical contributions. Strong hands on ability in AI experimentation and software development. Ability to independently identify important problems, formulate research hypotheses, and execute projects with limited structure. Deep expertise in one or more areas such as foundation models, multimodal learning, time series modeling, generative models, reinforcement learning, agentic systems, simulation, world models, representation learning, or AI evaluation. Strong scientific judgment and the ability to design rigorous experiments and communicate results clearly. High agency, intellectual curiosity, and a constructive problem solving mindset. Ability to collaborate across research, engineering, product, and teams. Preferred qualifications Experience working with industrial, manufacturing, energy, infrastructure, engineering, or scientific data. Recent publications at leading machine learning, AI, data mining, robotics, or systems venues. Experience developing models at scale or building complex research systems. Experience with simulation environments, digital twins, multimodal data, or industrial time series. A track record of initiating and advancing research projects with limited supervision. Exceptional recent PhD graduates with a strong research record are encouraged to apply. UK Benefits include: Flexible benefits fund emergency leave days adoption leave 28 days annual leave (plus bank holidays) pension life cover private medical insurance parental leave education assistance program It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive. Find out more: Hybrid working We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on site 50% of your working hours to support collaboration and connection. Some positions are fully office based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process. About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably. We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: Find out more: AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria. AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case by case basis. Empowering you with pioneering tech AVEVA is a global leader in industrial software. Our cutting edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals and minerals - safely, efficiently and more sustainably. We're the first software business in the world to have our sustainability targets validated by the SBTi, and we've been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We've also recently been named as one of the world's most innovative companies. If you're a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at AVEVA Careers. For more information about our privacy policy and how to manage cookies, visit our Privacy Policy.

AVEVA is seeking a Principal Research Scientist to drive frontier industrial AI across a hybrid Cambridge/London setting. You will define ambitious research questions, build experimental prototypes, and publish work while extending AVEVA's IP portfolio. The role requires autonomy, deep ML expertise, and a track record of moving ideas into working systems. You will collaborate with universities and labs, shape long-term AI strategy, and contribute to industrial data foundations and evaluation.

Overview We have a great opportunity for a dynamic and motivated Senior or Principal Peat Scientist (depending on experience) to join our Environment Practice in the UK to support with current projects, drive technical delivery and develop business across our growth markets. We are flexible on location, but ideally you will be based in Scotland. We are seeking an individual with a strong technical background and practical experience in the assessment and management of peatland to support existing projects and to the development of our peatland management services. You will be an important part of an innovative and technically excellent multi-disciplinary team helping to deliver bespoke soil and peat management strategies for major infrastructure projects across the UK and globally, as well as supporting on projects relating to natural capital and nature-based solutions. As a member of our team, you will be involved in a range of office and field-based work, engaging with our experienced staff to deliver excellence to our clients, and will work closely with a wide range of other professionals to deliver holistic solutions to environmental and engineering problems. The Sustainable Soils and Resource Management (SLRM) team is a well-established, award winning, multi-disciplinary, environmental and engineering practice with an extensive portfolio of regeneration and development projects and a highly skilled team winning numerous industry awards over the years. Due increasing project demands, we are growing our peat, soil and agricultural land quality service lines, and the successful candidate will work on a number of large projects across a range of exciting markets, including the development of Cities, Transportation, Water, Defence and Energy infrastructure. Your role Lead on the technical delivery of peat surveys and development of sustainable management strategies. Support and lead on client work development, preparation of proposals and input into bids for multi-disciplinary infrastructure projects. Liaison with clients, stakeholders, regulators, sub-contractors and other internal disciplines. Work effectively as part of a team and with other professionals (environmental scientists, engineers, planners) to provide a consistent and integrated service to our clients. Maintain excellent professional relationships which will lead to and secure repeat business. Compliance with Health and Safety policies and procedures, including preparing and reviewing health and safety plans and managing health and safety on site. Provide technical guidance, constructive support and mentoring to junior staff and supporting their technical development. Developing own competence and maintain CPD necessary to fulfil the responsibilities of the role, with support from the business on own training and development needs. About you Degree qualified in a relevant science subject (e.g. peat or soil science, geology, geography or environmental science). Relevant years of post-graduate experience. Full or Chartered Membership of relevant professional body. If not Chartered, we would expect the candidate, with our support, to become chartered 6 to 12 months after joining. Demonstrate a proven track record of undertaking peat surveys including recording accurate descriptions of peat landscapes, undertaking peat classification, collecting soil samples and classifying peat hydrology. Detailed working knowledge and specialist understanding of peat management and restoration including interpretating peat volumes. Working knowledge and demonstrable understanding of the relevant legislation, technical guidance, industry standards and best practice, in respect to the assessment, protection and sustainable management of peat. Experienced in preparing and reviewing technical reports, peat assessments, peat resource management plans, peat handling management plans and aftercare plans. Experience in writing EIA chapters is desirable but not essential. Experience with peat landslide risk assessments desirable but not essential. Demonstrate a proven track record of providing advice on sustainable peat management during infrastructure development. Excellent communication skills and proven ability to manage and mentor staff as well as managing time and work as part of a team as well as individual working. Flexible and prepared to take on new challenges. Full UK driving licence and the ability and willingness to travel throughout the UK and work on short term assignments. Rewards & benefits Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Be rewarded. Find out more. About AtkinsRéalis We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage.

Accord Healthcare Europe is seeking field-based MSLs to advance science and standards of care for patients, healthcare providers, and payers across the region. The MSL will deliver scientific information to external and internal stakeholders, support disease-area insights, and maintain up-to-date knowledge of relevant biomedical data. The role involves developing medical strategies, collaborating with the medical unit, and ensuring compliance with ABPI Code of Practice.

Principal Peat / Soil ScientistApplylocations: GB.Glasgow.2 Atlantic Square York Street: GB.Edinburgh - Stamp Officetime type: Full timeposted on: Posted Todayjob requisition id: R-160550 Job Description OverviewWe have a great opportunity for a dynamic and motivated Senior or Principal Peat Scientist (depending on experience) to join our Environment Practice in the UK to support with current projects, drive technical delivery and develop business across our growth markets. We are flexible on location, but ideally you will be based in Scotland.We are seeking an individual with a strong technical background and practical experience in the assessment and management of peatland to support existing projects and to the development of our peatland management services.You will be an important part of an innovative and technically excellent multi-disciplinary team helping to deliver bespoke soil and peat management strategies for major infrastructure projects across the UK and globally, as well as supporting on projects relating to natural capital and nature-based solutions. As a member of our team, you will be involved in a range of office and field-based work, engaging with our experienced staff to deliver excellence to our clients, and will work closely with a wide range of other professionals to deliver holistic solutions to environmental and engineering problems.The Sustainable Soils and Resource Management (SLRM) team is a well-established, award winning, multi-disciplinary, environmental and engineering practice with an extensive portfolio of regeneration and development projects and a highly skilled team winning numerous industry awards over the years. Due increasing project demands, we are growing our peat, soil and agricultural land quality service lines, and the successful candidate will work on a number of large projects across a range of exciting markets, including the development of Cities, Transportation, Water, Defence and Energy infrastructure. Your role Lead on the technical delivery of peat surveys and development of sustainable management strategies. Support and lead on client work development, preparation of proposals and input into bids for multi-disciplinary infrastructure projects. Liaison with clients, stakeholders, regulators, sub-contractors and other internal disciplines. Work effectively as part of a team and with other professionals (environmental scientists, engineers, planners) to provide a consistent and integrated service to our clients. Maintain excellent professional relationships which will lead to and secure repeat business. Compliance with Health and Safety policies and procedures, including preparing and reviewing health and safety plans and managing health and safety on site. Provide technical guidance, constructive support and mentoring to junior staff and supporting their technical development. Developing own competence and maintain CPD necessary to fulfil the responsibilities of the role, with support from the business on own training and development needs. About you Degree qualified in a relevant science subject (e.g. peat or soil science, geology, geography or environmental science). Relevant years of post-graduate experience. Full or Chartered Membership of relevant professional body. If not Chartered, we would expect the candidate, with our support, to become chartered 6 to 12 months after joining. Demonstrate a proven track record of undertaking peat surveys including recording accurate descriptions of peat landscapes, undertaking peat classification, collecting soil samples and classifying peat hydrology. Detailed working knowledge and specialist understanding of peat management and restoration including interpretating peat volumes. Working knowledge and demonstrable understanding of the relevant legislation, technical guidance, industry standards and best practice, in respect to the assessment, protection and sustainable management of peat. Experienced in preparing and reviewing technical reports, peat assessments, peat resource management plans, peat handling management plans and aftercare plans. Experience in writing EIA chapters is desirable but not essential. Experience with peat landslide risk assessments desirable but not essential. Demonstrate a proven track record of providing advice on sustainable peat management during infrastructure development. Excellent communication skills and proven ability to manage and mentor staff as well as managing time and work as part of a team as well as individual working. Flexible and prepared to take on new challenges. Full UK driving licence and the ability and willingness to travel throughout the UK and work on short term assignments. Rewards & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.Be rewarded. Find out more. About AtkinsRéalisWe're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.Find out more. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage. Worker Type Employee Job Type Regular At AtkinsRéalis , we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

Westren Capital is a London-based proprietary trading firm specialising in digital asset markets. We are committed to rigorous, first-principles research at the intersection of quantitative finance and machine learning. We bring together talent from Mathematics, Physics, and Computer Science to push beyond conventional modelling approaches and translate cutting edge research into actionable signals across global markets. Our culture is built around intellectual honesty, independence of thought, and a deep respect for evidence over narrative. We value researchers who are willing to challenge assumptions, explore uncomfortable ideas, and iterate quickly in the face of uncertainty. Collaboration is not ornamental here, it is structural. The best ideas tend to emerge where disciplines overlap and perspectives collide. Our AI team sits at the core of this effort. It is a focused R&D group of quantitative researchers, engineers, and ML practitioners working on frontier problems in representation learning and large scale modelling. The mandate is simple in wording and difficult in execution: extract signal from unstructured data and convert it into robust, scalable alpha. Responsibilities: We are searching for researchers who have a history of using machine learning for solving challenging, realistic problems, not benchmark problems pretending to be progress. It's intrinsically end-to-end: spotting problems that matter, specifically where there's an advantage in developing LLM skills, and pushing them through the full development process. You will be working with our traders, figuring out what constraints exist, what data looks like in practice, and what signals are realistically possible. From there, it becomes an exercise in iterating until your models, tools, and infrastructure don't collapse the first time you encounter real world markets. The field is intentionally wide. Your projects could land anywhere on the research pipeline for quant finance, wherever you can turn unstructured data and cutting edge machine learning techniques into economically valuable insights. We're not asking for excellence everywhere. The secret to success in this field lies in finding the right combination: expertise in one area, competence in another, and an innate interest in the third. Usually, this means machine learning, computer science, and some feel for how markets function when theory meets reality.And, inevitably, a few more duties nobody bothered mentioning but which will crop up regardless. Requirements: Around 5+ years of experience building machine learning systems that have delivered real, measurable impact, whether in industry or academia. A strong grounding in ML with some exposure to modern language models such as transformers or related architectures. Comfortable writing solid, production-quality code in Python and/or C++, and familiar with frameworks like PyTorch, TensorFlow, or JAX. Beyond tools, what matters is a mix of curiosity, range, and original thinking, balanced with a practical instinct for what actually works. You should be able to reason clearly about quantitative problems, communicate effectively with trading researchers, and maintain a consistent, dependable working rhythm. Experience working with HPC environments or training large models in distributed settings, along with some exposure to GPU-level optimisation using CUDA or ROCm. A track record of taking models end-to-end, particularly in the context of LLMs, is valuable. Prior academic publications or meaningful contributions to open-source AI work are a plus. It also helps if you have considered views on how ML research and infrastructure should be done, and the judgement to know when those views need to bend to reality.