Summary
Join our interdisciplinary team at the forefront of computational biology and AI to contribute to transformative projects that enhance our understanding of life on Earth and improve human health. This is a fixed-term contract role aimed at leveraging advanced machine learning techniques and biological insights across various research domains.
Postdoctoral Fellow – Computational Biology and Machine Learning, Hinxton, Cambridgeshire, USA
Designation
Postdoctoral Fellow / Senior Postdoctoral Fellow
Location
Hinxton, Cambridgeshire
Research Areas
| Research Focus Area | Description |
|---|---|
| Spatial & Multi-omics Atlas Construction | Build large-scale spatial and single-cell atlases across diseased tissues. |
| Generative AI for Cell Fate & Perturbations | Develop generative models to predict cellular behaviors and tissue remodeling. |
| Foundational Models for Single-Cell Biology | Train deep models to support the Human Cell Atlas initiatives. |
| Agentic AI for Scientific Reasoning | Create AI agents capable of hypothesis generation and experimental planning. |
| Core Machine Learning Research | Advance methods tailored for biological data integration. |
| Multimodal Learning | Integrate imaging, genomics, and clinical data for holistic analysis. |
| Leap Project | Develop AI models for patient stratification using diverse multi-omics data. |
Eligibility/Qualification
- Essential:
- PhD in a relevant subject area or on track to be awarded within 6 months.
- Proven ability to deliver research projects and a track record of research excellence.
- Experience with statistical techniques, machine learning, and deep learning.
- Knowledge of Python and core data science libraries (e.g., Sci-Kit-Learn, TensorFlow, PyTorch).
- Additional for Senior Postdoctoral Fellow:
- Strong publication record and proven ability to work independently.
- Strong influencing skills for internal and external engagements.
Job Description
As a Postdoctoral Fellow, you will join the Lotfollahi Group, comprised of ML researchers, computational biologists, and clinicians. Your role will involve leading or contributing to projects in the following areas:
- Development of AI tools for single-cell genomics and tissue biology.
- Exploring the intersection of AI and biological data to decode cellular systems.
- Collaborating closely with the Human Cell Atlas and international research leaders.
How to Apply
Interested candidates should submit their CV along with a cover letter detailing their research experience, interest in the focus areas, and future aspirations.
Last Date to Apply
26th May 2026
This position offers access to unique datasets, world-class computational infrastructure, a collaborative environment with strong mentorship, and the opportunity to influence cutting-edge research in biology. Join us in tackling some of humanity’s greatest challenges!
