Senior Data Scientist (Enchev Lab)

Senior Data Scientist (Enchev Lab)

Full-Time 53025 - 53025 £ / year (est.) No home office possible
The Francis Crick Institute

At a Glance

  • Tasks: Design and deliver cutting-edge cryo-EM studies to understand protein interactions.
  • Company: Join the Francis Crick Institute, a leading biomedical discovery hub in London.
  • Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
  • Other info: Be part of a dynamic team at Europe's largest biomedical research facility.
  • Why this job: Make a real impact in biomedical research and contribute to groundbreaking discoveries.
  • Qualifications: PhD in relevant field and experience in cryo-EM data analysis required.

The predicted salary is between 53025 - 53025 £ per year.

We are seeking a scientist to join the Visual Biochemistry Laboratory, led by Radoslav Enchev. The lab is advancing time‑resolved cryo‑EM to understand how proteins move and interact. The role forms part of an exciting collaboration with researchers at the Flatiron Institute's Centre for Computational Biology and Centre for Computational Mathematics.

Key Responsibilities

  • Designing and delivering equilibrium and time‑resolved single‑particle cryo‑EM studies on E3 ubiquitin ligases, molecular glues/PROTACs and their protein targets.
  • Processing and analysing cryo‑EM datasets using tools such as cryoSPARC and Relion, with a focus on conformational heterogeneity.
  • Developing and applying advanced methods to interpret cryo‑EM data and model conformational ensembles.
  • Building structural models from cryo‑EM density maps and integrating findings with molecular dynamics simulations.
  • Collaborating closely with computational researchers at the Flatiron Institute to develop new analytical approaches.
  • Preparing samples and supporting cryo‑EM data collection where required.
  • Documenting research, presenting findings and contributing to publications and conferences.
  • Supporting and mentoring colleagues in cryo‑EM data analysis while contributing to a collaborative lab environment.

About you

You will have:

  • A PhD in theoretical or experimental biophysics, computer science, structural biology, biochemistry or a related discipline.
  • Practical experience in cryo‑EM data analysis and/or molecular dynamics simulations.
  • A strong understanding of protein structure and conformationally dynamic systems.
  • Demonstrated interest in studying conformational free energy landscapes of biomolecules.
  • Strong programming and coding experience.
  • Understanding of deep learning workflows and their application to scientific data.
  • A track record of scientific publications, including preprints and/or peer‑reviewed journal articles.
  • Experience presenting research findings at scientific meetings.
  • Ability to work independently while contributing effectively within a collaborative research environment.

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.

Senior Data Scientist (Enchev 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. With state-of-the-art facilities and a commitment to scientific excellence, employees benefit from opportunities for professional growth, mentorship, and involvement in groundbreaking research that translates discoveries into real-world applications. Join a diverse team of leading scientists dedicated to advancing our understanding of health and disease while contributing to innovative solutions that impact lives globally.
The Francis Crick Institute

Contact Detail:

The Francis Crick Institute Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist (Enchev Lab)

✨Tip Number 1

Network like a pro! Reach out to people in your field, especially those connected to the Francis Crick Institute. Attend events, join online forums, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio or a personal website showcasing your projects, especially those related to cryo-EM and data analysis. This gives you a chance to demonstrate your expertise and passion beyond just a CV.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you’ll likely need to collaborate with various teams at the Crick. Mock interviews can help you feel more confident!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at the Francis Crick Institute.

We think you need these skills to ace Senior Data Scientist (Enchev Lab)

Cryo-EM Data Analysis
Molecular Dynamics Simulations
Protein Structure Understanding
Conformational Dynamics
Programming and Coding Experience
Deep Learning Workflows
Scientific Publications
Research Presentation Skills
Collaboration in Research Environment
Sample Preparation for Cryo-EM
Data Processing with cryoSPARC and Relion
Structural Modelling from Cryo-EM Density Maps
Analytical Approach Development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to highlight your experience in cryo-EM and molecular dynamics. We want to see how your skills align with the key responsibilities listed in the job description.

Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about this role and how your background makes you a perfect fit. Don’t just repeat your CV; use this space to showcase your personality and enthusiasm!

Showcase Your Publications: If you've got a track record of scientific publications, make sure to mention them! Highlighting your research contributions will help us see your expertise and commitment to the field.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep everything organised!

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

✨Know Your Cryo-EM Inside Out

Make sure you brush up on your knowledge of cryo-EM techniques and tools like cryoSPARC and Relion. Be ready to discuss your practical experience and how you've applied these methods in your previous work. This will show that you're not just familiar with the theory but have hands-on expertise.

✨Showcase Your Collaborative Spirit

Since this role involves working closely with computational researchers, be prepared to share examples of past collaborations. Highlight how you’ve contributed to team projects and how you can support and mentor colleagues in a lab environment. This will demonstrate your ability to thrive in a collaborative setting.

✨Prepare for Technical Questions

Expect technical questions related to protein structure, conformational dynamics, and deep learning workflows. Brush up on your programming skills and be ready to discuss how you've used coding in your research. This will help you stand out as a candidate who can tackle complex problems.

✨Present Your Research Effectively

Be ready to talk about your scientific publications and presentations. Practice summarising your findings clearly and concisely, as if you were presenting at a conference. This will showcase your communication skills and your ability to convey complex information to diverse audiences.

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