At a Glance
- Tasks: Join us to develop Digital Twins for rare diseases using cutting-edge bioinformatics and AI.
- Company: EMBL-EBI is a leading research institute focused on bioinformatics and open science.
- Benefits: Enjoy flexible working, generous leave, and family-friendly policies in a supportive environment.
- Why this job: Make a real impact in rare disease research while collaborating with top experts in a vibrant community.
- Qualifications: PhD in bioinformatics or related field; proficiency in Python or R; experience with omics data.
- Other info: International applicants welcome; relocation support available.
The predicted salary is between 39684 - 49684 £ per year.
Organisation/Company EMBL-EBI – European Bioinformatics Institute Research Field Biological sciences Biological sciences » Biology Medical sciences » Medicine Computer science Physics Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Country United Kingdom Application Deadline 13 Jul 2025 – 21:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Postdoctoral Fellow – Bioinformatics & Executable Modelling for Rare Disease Digital Twins
EMBL-EBI – European Bioinformatics Institute
Hinxton, United Kingdom
We are looking for a motivated and talented postdoctoral-level researcher with experience in executable modelling to join a cutting-edge project developing Digital Twins for rare diseases. This is a unique opportunity to work at the intersection of systems biology, AI, and translational research, and to contribute to open science through the Chan Zuckerberg Initiative.
Your group
Petsalaki Group, in collaboration with Open Targets and BioModels teams.
The project
Digital Twins are virtual representations of patients that simulate disease progression and treatment response. Rare diseases pose a unique challenge due to limited patient data -especially at the single-cell level – making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data using hybrid models combining mechanistic, GenAI, and machine learning approaches.
You’ll contribute to building disease-specific Digital Twins using large-scale single-cell multi-omics datasets, mechanistic simulations, and predictive AI models. Your work will help unlock new insights into disease mechanisms and inform potential treatments, diagnostics, and drug repurposing opportunities.
Your role
You will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the wider rare disease and biocuration community. You will be primarily supervised by the Petsalaki group (Whole cell sigalling) and the Sheriff team (Biomodels). The Petsalaki group develops data driven network inference and modelling approaches from large omics datasets and the Sheriff team leads the development of innovative modelling approaches and maintenance of the Biomodels database.
Key responsibilities include:
- Generation of phenotype-specific networks from bulk-RNAseq and scRNAseq data from rare disease patients;
- Building executable models (Boolean, ODE, agent-based or others) from omics data;
- Collaborating closely with data curators, multi-omics data scientists and AI engineers to integrate and enrich disease datasets, and test and validate models;
- Applying hybrid modelling approaches to limited data scenarios;
- Enabling multi-scale and cross-disease modelling for hypothesis generation and therapy discovery;
- Ensure FAIR principles in your outputs and contribute to the open source community by sharing models (where possible) in BioModels and other repositories;
- Generation of synthetic data to represent rare disease patients that can be shared.
You have
- A PhD in bioinformatics, physics, or a related data-intensive field;
- Proficiency in Python (or R), version control, and clean code practices;
- Experience with omics data analysis and integration;
- Hands-on expertise in developing and fitting executable models;
- Strong communication and teamwork skills.
You may also have
- Network inference and analysis experience;
- Machine learning experience;
- Track record of completed research projects (e.g., publications, tools).
Contract length: 2 years fixed-term grant-limited. This position is funded by the Chan Zuckerberg Initiative (CZI) grant.
Salary: Year 1 Stipend at rate of £3,307 per month after tax but excluding pension and insurance contributions.
Interviews: We plan to hold interviews on 24th of July. If you are selected for a final interview, you will be asked to give a presentation. Details will be confirmed with selected candidates.
This is a high-impact role with the potential to shape the future of rare disease research. Join us to push the boundaries of what’s possible in computational biology and personalised medicine.
The EMBL Fellows’ Career Service provides support and guidance to predoctoral and postdoctoral fellows across all six EMBL’s sites.
Working with a dedicated Careers Advisor, this invaluable service will help you to take informed decisions about your career planning both in the short and longer term. Whether your main interest is pursuing a career path in academia, exploring opportunities in industry or exploring an independent venture, the EMBL Fellows’ Career Service with provide you with a portfolio of activities and resources to help you.
Why join us
Join a culture of innovation:
We are located on the Wellcome Genome Campus, alongside other prominent research and biotech organisations, and surrounded by beautiful Cambridgeshire countryside. This is a highly collaborative and inclusive community where our employees enjoy a relaxed atmosphere. We are committed to ensuring our employees feel valued, supported and empowered to reach their professional potential.
- Financial incentives: Monthly family and child allowances, generous stipend reviewed yearly, pension scheme, death benefit and unemployment insurances;
- Flexible working arrangements including hybrid working patterns;
- Private medical insurance for you and your immediate family;
- Generous time off: 30 days annual leave per year in addition to public holidays;
- Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely);
- Family benefits: On-site nursery (Heidelberg & Hinxton), 10 days of child sick leave, paid maternity & parental leave, holiday clubs on campus and monthly family and child allowances;
- Benefits for non-residents: Visa and financial support to relocate if you\’re overseas.
What else you need to know
- International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants;
- Diversity and inclusion: At EMBL, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ+ & individuals from all nationalities;
- Job location: All our fellowships are based on-site (for at least part of each week). If you are living overseas, you will receive a generous relocation package to support you;
- EMBL is a signatory of DORA. Find out how we apply DORA principles to our recruitment and performance assessment processes here ;
- How to apply: To apply please submit a cover letter and a CV through our online system. Applications will close at 23:59 CET on the date shown below. We aim to provide a response within two weeks after the closing date below.
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Postdoctoral Fellow - Bioinformatics & Executable Modelling for Rare Disease Digital Twins employer: Euraxess
Contact Detail:
Euraxess Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Fellow - Bioinformatics & Executable Modelling for Rare Disease Digital Twins
✨Tip Number 1
Network with professionals in the bioinformatics and rare disease fields. Attend relevant conferences, webinars, or workshops to meet potential collaborators and mentors who can provide insights into the application process and the work culture at EMBL-EBI.
✨Tip Number 2
Familiarise yourself with the latest research and developments in digital twins and multi-omics data analysis. Being well-versed in current trends will not only enhance your knowledge but also demonstrate your genuine interest in the role during interviews.
✨Tip Number 3
Prepare for the presentation component of the interview by practising how to clearly communicate complex ideas. Use visual aids to illustrate your points effectively, as this will showcase your ability to convey scientific concepts to diverse audiences.
✨Tip Number 4
Engage with the open-source community by contributing to projects related to bioinformatics or executable modelling. This will not only enhance your skills but also show your commitment to open science, which is a key aspect of the role at EMBL-EBI.
We think you need these skills to ace Postdoctoral Fellow - Bioinformatics & Executable Modelling for Rare Disease Digital Twins
Some tips for your application 🫡
Tailor Your Cover Letter: Make sure to customise your cover letter for the Postdoctoral Fellow position. Highlight your experience in bioinformatics, executable modelling, and any relevant projects that align with the Digital Twins initiative.
Showcase Relevant Skills: In your CV, emphasise your proficiency in Python or R, as well as your experience with omics data analysis. Include specific examples of how you've developed and fitted executable models in past research.
Highlight Collaborative Experience: Since this role involves collaboration with various teams, mention any previous teamwork experiences. Discuss how you’ve worked with data curators, scientists, or engineers to achieve common goals.
Follow Application Guidelines: Ensure you submit your application through the EMBL-EBI online system before the deadline. Double-check that your cover letter and CV are formatted correctly and free of errors.
How to prepare for a job interview at Euraxess
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python or R during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in relation to omics data analysis and executable modelling.
✨Prepare for Collaborative Questions
Since this role involves working closely with various teams, be ready to discuss your teamwork experiences. Think of examples where you successfully collaborated on complex projects, particularly in bioinformatics or related fields.
✨Understand the Project's Goals
Familiarise yourself with the concept of Digital Twins and how they apply to rare diseases. Being able to articulate your understanding of the project's objectives will demonstrate your genuine interest and alignment with their mission.
✨Practice Your Presentation Skills
If selected for a final interview, you'll need to give a presentation. Prepare a clear and concise presentation that showcases your research and modelling experience, ensuring it aligns with the expectations of the Petsalaki and Sheriff groups.