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
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.
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.
Foundational Models for Single-Cell Biology Train large, generalizable deep models across public and internal datasets to support the Human Cell Atlas and broad Sanger research programs.
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.
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.
Core Machine Learning Research Advance fundamental ML methods—including advanced generative modelling, scalable training algorithms, representation learning, and uncertainty modelling—tailored for biological data.
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
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.

You will join the , 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 programs, and international leaders in the field.

Quantitative characterization of cell niches in spatially resolved omics data, Nature Genetics (2025)
3D-Guided Scalable Flow Matching for Generating Volumetric Tissue Spatial Transcriptomics from Serial Histology (arXiv, 2025)

Opportunities to co-lead publications and present at ML and genomics conferences
Access to internal training, workshops, and career development resources through our Postdoctoral Fellow Programme.
We are looking for enthusiastic researchers with a strong computational or quantitative background.

PhD in 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 Sci-Kit-Learn, SciPy, TensorFlow and PyTorch
Knowledge of software development good practices and collaboration tools, including git-based version control, python package management and code
Foster an inclusive culture where all can thrive and diversity is celebrated
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 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
Demonstrable good time management and project management skills

For further details, please see role profiles for Postdoctoral Fellow and for Senior Postdoctoral Fellow .
Postdoctoral Fellow - £38,000-£49,156
Senior Postdoctoral Fellow - £43,650 - £49,156
Please submit your CV and a cover letter detailing your research experience, interest in the focus area(s), and future aspirations.
Hybrid Working At Wellcome Sanger
We recognise that there are many benefits to Hybrid Working; including an improved work-life balance, with more focused time, as well as the ability to organise working time so that collaborative opportunities and team discussions are facilitated on campus. The hybrid working arrangement will vary for different roles and teams. The nature of your role and the type of work you do will determine if a hybrid working arrangement is possible.

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 are proud to deliver an awarding campus-wide employee wellbeing strategy and programme. 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.