AI/ML Postdoctoral Fellow - F Rouhani Lab in London

AI/ML Postdoctoral Fellow - F Rouhani Lab in London

London Full-Time 47500 - 47500 £ / year (est.) No working from home possible
The Francis Crick Institute

At a Glance

  • Tasks: Lead a groundbreaking project using AI/ML to explore liver disease interactions.
  • Company: The Francis Crick Institute, a leading biomedical research facility in London.
  • Benefits: Competitive salary starting from £47,500, plus benefits and professional development.
  • Other info: Work in a state-of-the-art facility with excellent career growth opportunities.
  • Why this job: Join a collaborative team and make impactful discoveries in health and disease.
  • Qualifications: PhD in computational biology or related field; strong programming skills required.

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.

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 in London employer: The Francis Crick Institute

The Francis Crick Institute is an exceptional employer, offering a vibrant and collaborative work culture that fosters innovation in biomedical research. Located in the heart of London, it provides unparalleled opportunities for professional growth through interdisciplinary collaboration with leading institutions like the Wellcome Sanger Institute. Employees benefit from a supportive environment that encourages the development of cutting-edge AI/ML methods, alongside competitive salaries and comprehensive benefits, making it an ideal place for those seeking meaningful and impactful careers in science.

The Francis Crick Institute

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 in London

Network Like a Pro

Get out there and connect with folks in your field! Attend conferences, workshops, or even local meetups. Building relationships can lead to opportunities that aren’t even advertised yet.

Show Off Your Skills

Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving AI/ML methods. This will give potential employers a taste of what you can bring to the table.

Tailor Your Approach

When reaching out to potential employers or collaborators, make sure to tailor your message. Highlight how your skills align with their needs, especially in areas like spatial genomics and machine learning.

Apply Through Our Website

We encourage you to apply directly through our website for the best chance at landing that dream role. It shows initiative and gives us a clear view of your interest in joining our team!

We think you need these skills to ace AI/ML Postdoctoral Fellow - F Rouhani Lab in London

Machine Learning
Deep Learning
Graph Neural Networks
Transformer Models
Generative AI
Spatial Genomics
Single-Cell Sequencing

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. We love seeing genuine enthusiasm and how you can contribute to our collaborative environment.

Showcase Your Technical Skills:Since this role involves advanced AI/ML methods, make sure to highlight your programming skills, especially in Python. We’re keen to see examples of how you’ve applied these skills to complex datasets in your previous work.

Follow Application Instructions:When applying, make sure to follow the instructions carefully. We encourage you to apply through our website for a smooth process. Double-check everything before hitting that 'Apply' button!

How to prepare for a job interview at The Francis Crick Institute

Know Your Stuff

Make sure you’re well-versed in the latest AI/ML methods, especially those related to spatial genomics and histology datasets. Brush up on 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 experience working in interdisciplinary teams. Share specific examples of how you’ve collaborated with computational scientists or clinicians in the past.

Prepare for Technical Questions

Expect some deep dives into your programming skills, particularly in Python. Be prepared to talk about your experience with libraries like numpy, pandas, PyTorch, and JAX, and maybe even solve a coding problem on the spot.

Communicate Clearly

Since excellent communication is key, practice explaining complex concepts in simple terms. Think about how you would present your research findings or lead a publication discussion, as this will demonstrate your ability to convey ideas effectively.