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Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos The Altos Labs Institute of Computation (IoC) is seeking an independent and highly motivated Computational Biology Scientist to build, maintain, and support our hybrid AI initiative to model cellular processes. The position will work in a multi-disciplinary research environment to assist investigators in algorithm development and implementation, and will work across the software development life cycle, including software design, coding, testing, deployment, and maintenance. The ideal candidate will be a good communicator and have a growth mindset with an enthusiasm for scientific discovery and strong interest in applying a combination of AI methods and mathematical models toward understanding mechanistic aspects of cellular processes with all experimental labs at Altos Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This includes working with quantitative "big data" and building predictive models to develop novel theories. Our ultimate goal is to contribute to improving human lives through better-informed treatments. Responsibilities: - Contribute to modeling, simulation, and analysis of mechanistic or data-driven models of biological processes through software development in a highly collaborative environment. This will include: - Exploring and developing ML algorithms to solve complex problems and draw conclusions. Apply state of the art AI tools to infer and model cellular dynamics from large data sets Applying strong coding experience to model development using existing languages(s) and framework(s) Using AI as a tool to answer a scientific question, involved in the research and development aspects - Design and implement pipelines to mechanistically model cellular processes from model instantiation to simulation, calibration, and analysis. Collaborate with other scientists to characterize model behaviors, predictions, refinements, and accelerate the biological knowledge discovery. Developing research programs on partial cellular reprogramming, with the intent of closing the feedback loop between experimental and theoretical work, at multiple scales, from molecules to cells, tissues and even whole organisms. Working at the interface between mathematical and computational models, and AI methods, with the aim of establishing design principles of rejuvenated cells. Collaborating with both experimental and computational scientists across Altos. Influence best practices in areas such as Bayesian optimization, causal inference, building and assessing predictive models, analyzing biological networks, and analysis and visualization of -omics data. Maintain documentation and keep up-to-date as needed. Contribute to software releases (e.g. via GitHub, PyPI, Anaconda, Docker Hub). Who You Are The ideal candidate will be a strong collaborator with a background in dynamical systems and mathematical modeling of biological systems. Be able to demonstrate significant AI experience / application in conjunction with a working understanding of cell biology and/or biophysics. The level of the position will depend on the qualifications of the selected candidate. Minimum Qualifications - PhD in Biology, Computational Biology, Computer Science, or closely related field with strong emphasis in biological modeling. Relevant industry and/or academic experience. Expertise and a track record of using methods from artificial intelligence for biological design. Record of applications of dynamical systems to problems of synthetic biology. Record of applications of data driven modeling methods and AI to synthetic biology. Demonstrable experience of developing new statistical and machine learning-based methods for analyzing biological data to produce biological insights about cell health and rejuvenation. Experience working with mechanistic models (PDE/ODE, SDE, dynamical systems). Experience working with state of the art ML tools (transformers, GNN, etc.) Experience working with hybrid AI models (e.g., SINDy) Working knowledge of cell biology. Experience with Python, C, R or related scientific computing languages. Preferred Qualifications - Experience working with causal representation learning Experience with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact compensation may vary based on skills, experience, and location.

Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. The Pathogen Mission highlights EIT's transformative approach, using Whole Genome Sequencing (WGS) and Oracle's cloud technology to create a global pathogen metagenomics system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance. The goal is to deliver certified diagnostic tools for widespread use in labs, hospitals, and public health. EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. We are seeking a highly skilled and collaborative (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis, particularly in the context of genome assembly. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organization Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands on experience developing computational methods for next-generation sequencing data Significant experience with methods for efficient storage, search and assembly of DNA sequences (e.g. hashing, Burrows Wheeler transform, De Bruijn graphs, embeddings and tokenization) and pan genomes Proficient in the use of command line interfaces, low and high level programming languages (e.g. Python, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long read sequencing data (ONT) Experience with bioinformatics workflow frameworks (e.g. Nextflow) and cloud compute environments (e.g. OCI, AWS, GCP) Familiarity with Bayesian methods, machine learning, or causal inference in the context of biological data Contributions to open source bioinformatics software Previous experience mentoring or line managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail oriented with a commitment to reproducibility and benchmarking Comfortable in a fast paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains We offer the following benefits: Enhanced holiday pay Pension Life Assurance Income ProtectionPrivate Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.

Your work will change lives. Including your own. The Impact You'll Make At Recursion, we are reimagining drug discovery. As a Senior or Staff Product Manager, you will take ownership of our molecular design platform. You will be at the center of our Design Make Test Learn (DMTL) loop, creating the tools that empower our scientists to design novel, high quality drug candidates with unparalleled speed and precision. Your work will directly accelerate our portfolio, drive our partnerships, and contribute to our mission of decoding biology to radically improve lives. In this role, you will: Own the Vision: Develop and champion a compelling product vision and strategic roadmap for our molecular design platform, aligning scientific needs with Recursion's mission to industrialize drug discovery. Be the Customer's Voice: Act as the vital bridge between our scientists (your customers) and our technical teams. You will be deeply embedded with medicinal and computational chemists to understand their challenges and translate complex scientific requirements into clear, actionable product plans. Drive Execution: Lead a cross functional team of world class cheminformaticians, AI/ML scientists, and engineers to deliver high impact tools, from synthesis aware generative models to advanced physics based simulations. Industrialize Discovery: Be a key driver in our push for industrialization. You will help standardize workflows, eliminate bottlenecks, and build the foundational infrastructure needed for a truly scalable discovery engine. Measure What Matters: Define and analyze metrics for product success, tool adoption, and scientific impact to ensure your team is focused on the most critical priorities for accelerating our drug discovery programs. Communicate and Influence: Articulate strategy and progress to stakeholders at all levels, from individual scientists to the executive leadership team, ensuring alignment and excitement around our shared vision. The Team You'll Join You will be a core member of the Design Workflow team, an interdisciplinary team responsible for the end to end development and operation of our molecular design platform. We are the orchestration engine for the Hit to Lead (H2L) and Lead Optimization (LO) phases of drug discovery. Our team embodies a "Build & Operate" philosophy, intentionally integrating the development of the Recursion OS with its direct application in advancing our portfolio. The Experience You'll Need 3+ years (Senior) or 5+ years (Staff) of product management experience, with a proven track record of launching and iterating on complex, technical products. Deep experience with products that have a significant AI/ML or data science component. You are comfortable with the nuances of building, deploying, and improving machine learning systems. A demonstrated ability to apply customer centric product principles, whether in an external facing role or by successfully treating internal users as customers. You are passionate about user research and feedback driven development. Exceptional systems thinking skills; you can deconstruct complex scientific and technical workflows, identify key leverage points, and design elegant, scalable solutions. Outstanding communication and influencing skills, with the ability to build strong relationships and align cross functional teams across scientific and technical domains. Bonus: A degree or equivalent work experience in chemistry, computational biology, bioinformatics, or a related scientific field. Working Location & Compensation: This is an office based, hybrid position at either our London or Milton Park office located in London or Oxford, England. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £72,800 to £116,100 (GBP). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

At Genestack we are tackling the underlying computational and scientific challenges of bioinformatics in order to provide researchers with software tools that will streamline the discovery process and drive forward precision medicine, drug development, and bioinformatics research. We're looking for a Senior Bioinformatics Developer to lead delivery of robust omics data solutions across client projects and internal initiatives. This hybrid role spans pipeline development, scientific application delivery, and platform integration - with full ownership from scoping to deployment. You'll work closely with clients, product managers, and engineers to understand complex requirements and translate them into scalable, interoperable workflows. If you enjoy solving biological data challenges through a mix of analysis, automation, and architecture - this is your chance to make a difference in real-world R&D environments. In this role, you will: Lead end-to-end delivery of client and internal bioinformatics projects. Design pipelines for omics data ingestion, harmonization, and QC. Build and deploy scientific applications (e.g., dashboards, APIs, reports). Develop reusable tools for data wrangling, integration, and visualization. Integrate cloud/on-prem systems (e.g., S3, Nextflow, REST APIs). Support pre-sales, onboarding, and trial delivery when needed. Collaborate across product, engineering, and customer-facing teams. We would like you to have: Bachelor's or Master's degree in Bioinformatics, Computational Biology, or a related scientific/technical field. 5+ years of experience in delivering bioinformatics solutions in services or platform settings. Strong knowledge of Python or R; experience with reproducible workflows and APIs. Application development experience (e.g., Dash, Flask, Shiny). Familiarity with cloud infrastructure, workflow tools (Nextflow), and data protocols. Excellent communication skills in English and ability to operate across domains. Ability to balance delivery work with internal tooling contributions. It would be nice for you to have: prior experience as a Team Lead on bioinformatic projects; experience wit cloud deployment (AWS, GCP, Azure); JVM-based integration experience (e.g., Java, Kotlin). We offer you: international team of professionals; extended sick leave; onboarding and domain training for newcomers; flexible work schedule.

Bioinformatician II page is loaded Bioinformatician IIremote type: Onsitelocations: Edinburgh, UKtime type: Full timeposted on: Posted 3 Days Agojob requisition id: R25-103AskBio Inc., a wholly owned and independently operated subsidiary of Bayer AG, is a fully integrated gene therapy company dedicated to developing life-saving medicines and changing lives. The company maintains a portfolio of clinical programs across a range of neuromuscular, central nervous system, cardiovascular, and metabolic disease indications with a clinical-stage pipeline that includes investigational therapeutics for congestive heart failure, limb-girdle muscular dystrophy, multiple system atrophy, Parkinson's disease, and Pompe disease. AskBio's gene therapy platform includes Pro10, an industry-leading proprietary cell line manufacturing process, and an extensive array of capsids and promoters. With global headquarters in Research Triangle Park, North Carolina, and European headquarters in Edinburgh, Scotland, the company has generated hundreds of proprietary capsids and promoters, several of which have entered pre-clinical and clinical testing. Our vision: Pioneering science to create transformative molecular medicines. Our mission: Lead innovative science and drive clinical outcomes to transform people's lives. Our principles: Advance innovative science by pushing boundaries. Bring transformative therapeutics to patients in need. Provide an environment for employees to reach their fullest potential. Our values: Be a Pioneer. We are not afraid of the impossible and to innovate to make gene therapies accessible to those in need. Cultivate Collaboration. Strive to be the best teammate, actively listen, openly communicate, and embrace diverse points of view. Embrace Responsibility. We are humbled by the enormity of our mission. We hold a relentless commitment to advance science and clinical outcomes for our patients, families, and caregivers. Raise the Bar. Continuously drive improvements and efficiencies. Seek and provide constructive feedback. Have a bias for learning and action. Act with Uncompromising Integrity. Be honest, transparent, and committed to doing what's right in every situation. Make clear commitments and follow through. Position Summary The Bioinformatician II develops and implements computational methods for analysing proprietary biological data, supporting cross-functional teams with tailored bioinformatics solutions. The selected individual will have expertise in omics data analysis, statistical methods, and scientific programming. The role contributes to innovative computational research in gene therapy, advancing AskBio's platform-enabled product approach.This position is located at our Edinburgh, UK site and will report to the Senior Director, Bioinformatics and Machine Learning. Job Responsibilities Develop and implement computational methods and algorithms for the analysis of proprietary biological data Collaborate with cross-functional international teams to understand data analysis needs and provide tailored bioinformatics solutions Contribute to the design and optimisation of bioinformatics pipelines and workflows to improve data processing and analysis Stay up to date with advancements in bioinformatics, machine learning, and data science, integrating relevant approaches into ongoing work Communicate findings and recommendations effectively to stakeholders, including senior leadership and non-expert audiences Provide mentorship and guidance to junior team members, fostering a culture of collaboration and learning Minimum Requirements PhD in bioinformatics, computational biology, or a related discipline with at least 2 years of postdoctoral or industry experience OR Master's degree in bioinformatics, computational biology, or a related field with at least 8 years of relevant industry or research experience Strong programming skills in Python Experience in statistical analysis of DNA sequence and molecular datasets Proven ability to communicate complex computational analyses to both technical and non-technical audiences Expertise in processing and analysing omic datasets, particularly next-generation sequencing (NGS) data Familiarity with Unix/Linux-based systems and command-line environments Preferred Education, Experience and Skills Experience developing computational methods for biological data analysis Experience working with clinical or translational research data Proficiency in additional data analysis languages (e.g., R, MATLAB) Knowledge of containerisation tools such as Docker Familiarity with integrating multi-omics datasets Experience with workflow management systems such as Snakemake or Nextflow. Knowledge of gene therapy and its bioinformatics challenges Expertise in structural biology, particularly in protein structure modelling, interactions, and computational structural analysis Experience contributing to cross-disciplinary and global research projects Familiarity with version control systems (e.g., Git) and collaborative development practices AskBio Inc. (AskBio) is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status or any other protected status prohibited under Federal, State or local laws. All employment decisions are based on valid job related requirements. If you are a qualified individual with a disability or a disabled veteran and are unable or limited in your ability to use or access our website, you may request a reasonable accommodation to express interest in a specific opening by calling us at or sending us an email at . Agencies: Please do not contact any employee at AskBio about this requisition. Any resume submitted by a recruitment agency to any employee at AskBio, through any medium, will be deemed the sole property of AskBio unless the agency was engaged by AskBio Talent Acquisition team to recruit for that position. All agencies must have a prior executed service agreement with AskBio prior to any search engagement. If a candidate who was submitted outside of the AskBio agency process is hired by AskBio, no fee or payment of any kind will be paid to the agency.

The Ellison Institute of Technology (EIT) tackles humanity's greatest challenges by turning science and technology into impactful global solutions. Focused on areas like health, food security, sustainable agriculture, climate change, clean energy, and robotics in an era of artificial intelligence. EIT blends groundbreaking research with practical applications to deliver lasting results. A cornerstone of EIT mission is its upcoming 300,000-square-foot research facility at the Oxford Science Park, set to open in 2027. This cutting-edge campus will feature advanced labs, an oncology and preventative care clinic, and collaborative spaces to strengthen its partnership with the University of Oxford. It will also host the Ellison Scholars, driving innovation for societal benefit. The Generative Biology Institute (GBI) at the Ellison Institute of Technology (EIT) aims to overcome two major challenges in making biology engineerable: 1) the ability to precisely synthesize entire genomes, and 2) understanding which DNA sequences will create biological systems that perform desired functions. Solving these challenges will unlock the potential of biology for transformative solutions in health, sustainability, agriculture, and more. GBI will house 30 groups and over 300 researchers, supported by cutting-edge facilities and sustained funding to address global challenges and advance biology engineering. EIT fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. Wellcome SynHG Professor Chin is the lead Principal Investigator on the Wellcome Synthetic Human Genome (SynHG) project, for which research will be conducted at GBI in Oxford. The aim of the five-year multi-centre project (supported by £10m of funding) is to develop the foundational and scalable tools, technology and methods needed to synthesise large sections of human genomes/chromosomes. Through programmable synthesis of genetic material the aim is to unlock a deeper understanding of life, leading to potential acceleration of the development of safe, targeted, cell-based therapies, and opening entire new fields of research in human health. The project aims to achieve reliable genome design and synthesis - engineering cells to have specific functions - which will be a major milestone in modern biology. A dedicated social science program will support the research. Job Summary: EIT is seeking a highly motivated Postdoctoral Researcher to join the Wellcome SynHG team based at GBI. The successful candidate will contribute to the research aims of the grant, working collaboratively and independently to design and conduct experiments, develop new techniques and approaches, and drive forward the scientific agenda. The Postdoctoral Researcher will play a key role in supporting lab development, and contributing to publications, reports, and presentations. Key Responsibilities: Design and execute experiments aligned with the aims of the grant, including developing novel methodologies or adapting existing techniques to new applications Analyse complex datasets using appropriate computational and statistical tools, and interpret results in the context of the broader research objectives Contribute intellectually to the direction of the project by identifying opportunities to innovate, troubleshoot experimental challenges, and refine research questions Prepare written materials including scientific publications, reports, presentations, and protocols Collaborate with other group members and external partners to ensure progress across complementary workstreams Contribute to the development of the lab's research infrastructure and capabilities Mentor and support junior team members, including Research Assistants Stay up to date with relevant scientific literature and bring emerging technologies and approaches into the lab Present findings at internal and external meetings and conferences Undertake other duties in support of the research group as requested by the Group Leader Essential & Desirable Knowledge, Skills and Experience: A PhD (or equivalent) in a relevant scientific discipline (e.g. Biology, Chemistry, Engineering, Computer Science) Strong track record of hands-on research, ideally in mammalian cell culture and engineering, molecular biology, or synthetic biology Desirable: Experience with genomic data analysis, automation platforms, or computational tools relevant to the field Proven ability to work independently, think creatively, and solve complex problems Experience preparing publications and delivering scientific presentations Strong organisational skills and the ability to manage multiple parallel workstreams Excellent written and verbal communication skills, including the ability to collaborate across multidisciplinary teams A proactive mindset and enthusiasm for working in a fast-paced, high-growth research environment We offer the following salary and benefits: Salary: Competitive Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.

Postdoctoral Fellow- Computational Biology and Machine Learning Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life changing science to solve some of humanity's greatest challenges. We are hiring a Postdoctoral Fellow/Senior Postdoctoral Fellow to join our interdisciplinary team at the forefront of computational biology and AI for a 3 year fixed term contract. You will contribute to (lead - Senior Postdoctoral Fellow) transformative projects that integrate single cell genomics, spatial transcriptomics, and generative AI to build next generation models for understanding tissue biology and cellular dynamics across organs such as the pancreas, kidney, skin, and liver. We welcome applicants from diverse technical and scientific backgrounds - from those interested in fundamental questions in biology and medicine, to those focused on ML/AI method development. We are particularly excited to work with individuals who are passionate about biology, foundation model development, modelling cellular perturbation responses, predicting patient behaviours, and analysing multi modal biological data. Available Research Focus Areas 1. Spatial & Multi omics Atlas Construction Build large scale spatial and single cell atlases across diseased tissues (pancreas, kidney, skin, liver) using spatial transcriptomics, scRNA seq, and multiome data in collaboration with leading Sanger groups. 2. Generative AI for Cell Fate & Perturbations Develop diffusion, flow matching, and transformer based generative models to predict cell fate, tissue remodelling, and drug or perturbation responses in silico. 3. Foundational Models for Single Cell Biology Train large, generalisable deep models across public and internal datasets to support the Human Cell Atlas and broad Sanger research programmes. 4. Open Targets Translational AI Projects Apply foundational and multi omics models to real world challenges in drug discovery, target identification, and target safety in collaboration with major pharma partners. 5. Agentic AI for Scientific Reasoning & Experiment Design (new) Develop AI agents capable of hypothesis generation, experiment planning, and multi step scientific workflows using reinforcement learning and tool use models. 6. Core Machine Learning Research Advance fundamental ML methods-including advanced generative modelling, scalable training algorithms, representation learning, and uncertainty modelling-tailored for biological data. 7. Multimodal Learning (Imaging + Genomics + Clinical Data) Create models that integrate histopathology imaging, spatial proteomics, single cell genomics, and patient level clinical data to learn unified biological and clinical representations. 8. Leap Project We are interested in developing large scale AI models to stratify patients using diverse multi omics data, with a strong commitment to equity and inclusion, particularly in women's health. The Open Targets (OT) research programme generates and analyses data to connect targets to diseases, assess the strength of this evidence, and help identify and prioritise targets for drug discovery. This includes evidence that causally links targets and diseases, as well as foundational data that helps us understand biological processes and disease progression more deeply. About Us You will join the Lotfollahi Group, an interdisciplinary team of ML researchers, computational biologists, clinicians and experimentalists. Our mission is to develop data driven and biologically grounded AI tools for decoding complex cellular systems. We collaborate closely with the Human Cell Atlas, Sanger's single cell programmes, and international leaders in the field. Key Publications and References Akbar Nejat et al., Mapping and reprogramming human tissue microenvironments with MintFlow (bioRxiv, 2025) Birk et al., Quantitative characterization of cell niches in spatially resolved omics data, Nature Genetics (2025) Jeong et al., SIGMMA: Hierarchical Graph Based Multi Scale Multi modal Contrastive Alignment of Histopathology Image and Spatial Transcriptome (arXiv, 2025) Sanian et al., 3D Guided Scalable Flow Matching for Generating Volumetric Tissue Spatial Transcriptomics from Serial Histology (arXiv, 2025) What We Offer Access to unique in house datasets and world class computational infrastructure Opportunities to co lead publications and present at ML and genomics conferences Collaborative and inclusive environment with strong mentorship culture We are looking for enthusiastic researchers with a strong computational or quantitative background. Qualifications PhD in a relevant subject area, or on track to be awarded your PhD within 6 months of starting the role Proven ability to deliver research projects A track record of demonstrating research excellence and expertise in your area of research Experience in advanced statistical techniques, machine learning and modern deep learning techniques Experience with single cell omics, spatial transcriptomics, or large scale biological data integration Knowledge of Python, including core data science libraries such as Scikit Learn, SciPy, TensorFlow and PyTorch Knowledge of software development good practices and collaboration tools, including git based version control, python package management and code Proven ability to develop and maintain effective working relationships with a wide range of persons of differing level, abilities and knowledge Foster an inclusive culture where all can thrive and diversity is celebrated Team player with the ability to work with others in a collegiate and collaborative environment Ability to effectively communicate ideas and results and present orally to groups Commitment to personal development and updating of knowledge and skills Ability to prioritise, multi task and work independently Detail oriented, strong organisational and problem solving skills Additional Skills for Senior Postdoctoral Fellow Strong knowledge of Python, including core data science libraries such as Scikit Learn, SciPy, TensorFlow and PyTorch Proven experience using advanced statistical techniques, machine learning and modern deep learning techniques Proven ability to work independently and deliver research projects Relevant solid publication record in either machine learning or application of machine learning in biology Strong influencing skills to engage with internal and external stakeholders Critical and analytic thinking around problems Demonstrable good time management and project management skills Application Process Please submit your CV and a cover letter detailing your research experience, interest in the focus area(s), and future aspirations. Closing Date 1st February 2026 Equality, Diversity and Inclusion Equality, Diversity and Inclusion: We aim to attract, recruit, retain and develop talent from the widest possible talent pool, thereby gaining insight and access to different markets to generate a greater impact on the world. We have a supportive culture with the following staff networks: LGBTQ+, Parents and Carers, Disability and Race Equity to bring people together to share experiences, offer specific support and development opportunities and raise awareness. The networks are also a place for allies to provide support to others. We want our people to be whoever they want to be because we believe people who bring their best selves to work, do their best work. That's why we're committed to creating a truly inclusive culture at Sanger Institute. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive. We are proud to deliver an awarding campus wide employee wellbeing strategy and programme. The importance of good health and adopting a healthier lifestyle and the commitment to reduce work related stress is strongly acknowledged and recognised at Sanger Institute. Sanger Institute became a signatory of the International Technician Commitment initiative in March 2018. The Technician Commitment aims to empower and ensure visibility, recognition, career development and sustainability for technicians working in higher education and research, across all disciplines. Every year the Wellcome Sanger Institute supports the visits of dozens of overseas researchers from across the globe to the Genome campus to collaborate, share insights and to undertake groundbreaking scientific research. Our reliable in house service provides expert advice and guidance to support current and prospective staff, and visitors at various points of their journey. We are able to provide guidance through your entire journey, from initial visa application through to extensions and applications of Indefinite Leave to Remain, the service is proud to support your personal applications and those of your dependants and family members. Wellcome Trust Genome Campus, Hinxton Saffron Walden, United Kingdom

A leading research institute in Hinxton is seeking a Postdoctoral Fellow in Computational Biology and Machine Learning to lead pioneering projects integrating AI and genomics. The successful candidate will work on multiple research focuses, including generative AI for cell fate and the development of foundational models for single-cell biology. Applicants should hold a PhD in a relevant field and have a strong background in machine learning techniques, single-cell omics, and programming in Python. This role offers unique datasets and collaboration opportunities.

The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics". Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent. Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time. Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure to platforms to end user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data/computing/analysis platforms, and data powered applications. Responsibilities Contribute to Product Development & Adoption: Actively contribute to the full product lifecycle, from development to launch and adoption, focusing on specific features and components within novel molecule design solutions for the scientific community at GSK. Support GenAI Strategy: Support the strategic integration and enhancement of GenAI capabilities within molecule design tools, helping to define and implement next generation AI powered functionalities. Collaborative Delivery: Partner closely with Onyx tech teams, R&D scientists, and leaders to facilitate the delivery of impactful cloud based products and solutions that leverage Generative AI and agentic capabilities. GenAI Feature Implementation Support: Contribute to the development and implementation of specific features within AI Agents, leveraging LLMs and Generative AI to automate well defined parts of scientific research tasks. Assist in the design and testing of human agent interaction components, focusing on specific conversational flows or user interface elements to enhance usability. Support the product lifecycle for individual models or agents by assisting with data gathering, testing of fine tuned models, and developing documentation for APIs/agents. Support the implementation of Model In The Loop designs by gathering R&D user feedback and contributing to the process. Participate in highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Cross Functional Coordination: Coordinate with tech and R&D teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and R&D data leadership teams, to align product strategies, gather input, ensuring clear communication and smooth execution. Product Release Support: Assist with product launch activities for new features, including preparing documentation, training materials, and support resources to ensure successful adoption. Performance Monitoring & Optimization: Monitor key metrics for specific product features, gather user feedback on performance, and identify potential areas for improvement. Qualifications Bachelor's degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience executing product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Demonstrated technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, or related discipline. Experience contributing to products that involve AI agents, their tool utilisation (APIs, function calling), or the development of conversational AI interfaces. Hands on software engineering or data science experience in an AI/GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and an understanding of the strategic trade offs when selecting between proprietary, open source, or fine tuned custom models. Experience contributing to products that manage or interpret complex, unstructured biomedical data. Familiarity with Model Context Protocols (MCP) for LLM powered agents, including basic concepts of prompt engineering, context window management, and maintaining model coherence in multi turn interactions. Foundational knowledge of bioinformatics, computational biology, or cheminformatics, and an interest in how agentic AI can impact drug discovery. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in the life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) PLEASE NOTE: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and we will review all applications; however response times may be longer than usual, and interviews may be scheduled after the New Year. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next generation data experience for GSK's scientists, engineers, and decision makers, increasing productivity and reducing time spent on "data mechanics". Providing best in class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top tier talent. Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real time. Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure to platforms to end user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data/computing/analysis platforms, and data powered applications. Responsibilities Contribute to Product Development & Adoption: Actively contribute to the full product lifecycle, from development to launch and adoption, focusing on specific features and components within novel molecule design solutions for the scientific community at GSK. Support GenAI Strategy: Support the strategic integration and enhancement of GenAI capabilities within molecule design tools, helping to define and implement next generation AI powered functionalities. Collaborative Delivery: Partner closely with Onyx tech teams, R&D scientists, and leaders to facilitate the delivery of impactful cloud based products and solutions that leverage Generative AI and agentic capabilities. GenAI Feature Implementation Support: Contribute to the development and implementation of specific features within AI Agents, leveraging LLMs and Generative AI to automate well defined parts of scientific research tasks. Assist in the design and testing of human agent interaction components, focusing on specific conversational flows or user interface elements to enhance usability. Support the product lifecycle for individual models or agents by assisting with data gathering, testing of fine tuned models, and developing documentation for APIs/agents. Support the implementation of Model In The Loop designs by gathering R&D user feedback and contributing to the process. Participate in highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine tuning foundational models, vector databases, and multi agent system architectures. Cross Functional Coordination: Coordinate with tech and R&D teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and R&D data leadership teams, to align product strategies, gather input, ensuring clear communication and smooth execution. Product Release Support: Assist with product launch activities for new features, including preparing documentation, training materials, and support resources to ensure successful adoption. Performance Monitoring & Optimization: Monitor key metrics for specific product features, gather user feedback on performance, and identify potential areas for improvement. Qualifications Bachelor's degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Experience in product management with a proven track record of shipping 0 to 1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large scale enterprise setting. Demonstrated experience executing product strategy for modern applications, including hands on experience with technologies core to AI systems such as vector databases, MLOps, retrieval augmented generation, and model fine tuning. Demonstrated technical fluency with cloud native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM based applications. Preferred Qualifications Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, or related discipline. Experience contributing to products that involve AI agents, their tool utilisation (APIs, function calling), or the development of conversational AI interfaces. Hands on software engineering or data science experience in an AI/GenAI focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer based models and an understanding of the strategic trade offs when selecting between proprietary, open source, or fine tuned custom models. Experience contributing to products that manage or interpret complex, unstructured biomedical data. Familiarity with Model Context Protocols (MCP) for LLM powered agents, including basic concepts of prompt engineering, context window management, and maintaining model coherence in multi turn interactions. Foundational knowledge of bioinformatics, computational biology, or cheminformatics, and an interest in how agentic AI can impact drug discovery. Hands on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in the life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) PLEASE NOTE: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and we will review all applications; however response times may be longer than usual, and interviews may be scheduled after the New Year. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.