At a Glance
- Tasks: Lead a cutting-edge project using AI/ML to study liver disease interactions.
- Company: The Francis Crick Institute, a leading biomedical discovery institute in London.
- Benefits: Competitive salary starting from £47,500, plus benefits and professional development.
- Other info: Join a dynamic team in Europe's largest biomedical research facility.
- Why this job: Make a real impact in health research while collaborating with top scientists.
- Qualifications: PhD in a relevant field and experience with AI/ML methods.
The predicted salary is between 47500 - 47500 £ per year.
Location: The Francis Crick Institute, London
We are seeking an ambitious Postdoctoral Fellow to lead a cutting-edge computational project investigating how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. This is a highly collaborative and cross-institutional role between the Francis Crick Institute and the Wellcome Sanger Institute. Working closely with the Lotfollahi Lab – leaders in generative AI and foundation models for spatial and single-cell genomics – you will develop and apply state-of-the-art machine learning approaches to large-scale spatial genomics and multi-modal biological datasets.
Responsibilities
- Developing advanced AI/ML methods for analysing spatial genomics and histology datasets.
- Applying graph neural networks, transformer models and generative AI approaches to study clone-microenvironment interactions.
- Integrating spatial transcriptomics, single-cell sequencing and imaging datasets.
- Designing benchmarking strategies and reproducible computational workflows.
- Performing clonal reconstruction and spatial mapping analyses from genomic datasets.
- Collaborating closely with computational scientists, clinicians and experimental researchers across the Crick and Sanger Institute.
- Leading publications, conference presentations and dissemination of research findings.
Qualifications
- PhD (or near submission) in computational biology, machine learning, computer science, statistics or a related quantitative discipline.
- Experience developing and applying deep learning or AI/ML methods to complex scientific datasets.
- Strong programming and scientific computing skills in Python (e.g. numpy, pandas, PyTorch and/or JAX).
- Experience analysing complex biological, imaging or spatial datasets, or strong evidence of rapidly adapting to new data domains.
- Excellent communication, organisational and collaborative working skills.
- Ability to work effectively within interdisciplinary and cross-institutional research teams.
About us
The Francis Crick Institute is a biomedical discovery institute dedicated to understanding the fundamental biology underlying health and disease. Its work is helping to understand why disease develops and to translate discoveries into new ways to prevent, diagnose and treat illnesses such as cancer, heart disease, stroke, infections, and neurodegenerative diseases. An independent organisation, its founding partners are the Medical Research Council, Cancer Research UK, Wellcome, UCL, Imperial College London and King’s College London. The Crick was formed in 2015, and in 2016 it moved into a new state-of-the-art building in central London which brings together 1500 scientists and support staff working collaboratively across disciplines, making it the biggest biomedical research facility under one building in Europe. The Francis Crick Institute will be world-class with a strong national role. Its distinctive vision for excellence includes commitments to collaboration; developing emerging talent and exporting it to the rest of the UK; public engagement; and helping turn discoveries into treatments as quickly as possible to improve lives and strengthen the economy.
To apply for this role, please click on the 'Apply' button above. From £47,500 with benefits, subject to skills & experience.
AI/ML Postdoctoral Fellow - F Rouhani Lab employer: The Francis Crick Institute
The Francis Crick Institute is an exceptional employer, offering a vibrant and collaborative work culture in the heart of London. As a leading biomedical discovery institute, it provides unparalleled opportunities for professional growth and development, allowing employees to engage in groundbreaking research alongside top-tier scientists. With a commitment to innovation and public engagement, the Crick fosters an environment where your contributions can lead to meaningful advancements in health and disease understanding.
Contact Details:
The Francis Crick Institute Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Postdoctoral Fellow - F Rouhani Lab
✨Network Like a Pro
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We think you need these skills to ace AI/ML Postdoctoral Fellow - F Rouhani Lab
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in AI/ML and computational biology. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this specific role at the Francis Crick Institute and how your background makes you a perfect fit. We love enthusiasm and clarity!
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Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at The Francis Crick Institute
✨Know Your Stuff
Make sure you brush up on the latest AI/ML methods, especially those related to spatial genomics and histology datasets. Familiarise yourself with graph neural networks and transformer models, as these are likely to come up in conversation.
✨Show Your Collaborative Spirit
This role is all about teamwork, so be ready to discuss your past experiences working in interdisciplinary teams. Highlight any projects where you collaborated with computational scientists or clinicians, and how you contributed to the success of those projects.
✨Prepare for Technical Questions
Expect some deep dives into your programming skills, particularly in Python. Be prepared to discuss specific libraries like numpy, pandas, PyTorch, and JAX, and maybe even solve a coding problem on the spot to demonstrate your expertise.
✨Communicate Clearly
Since excellent communication is key, practice explaining complex concepts in simple terms. You might need to present your research findings or ideas, so think about how you can make your work accessible to a broader audience.
