欧洲分子生物学实验室(EMBL)2025年博士后招聘（罕见病数字孪生生物信息学与可执行建模）

Postdoctoral Fellow – Bioinformatics & Executable Modelling for Rare Disease Digital Twins

Employer

European Molecular Biology Laboratory (EMBL)

Location

locations Hinxton, Cambridgeshire

Salary

Competitive

Closing date

26 Jul 2025

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 experienc

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.

Professional development support

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.

To find out more please visit - EMBL-fellows-career-service

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.

Enjoy lots of employee benefits:

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.

Watch this video to find out what it's like to be a Postdoc at EMBL-EBI.

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.

Closing Date

13/07/2025

Make a difference

Whether you're a scientist, IT specialist, accountant or administrator, you'll help us tackle the challenges of improving human health & biodiversity in the face of climate change on a global scale.

Generous employee benefits

Please visit this page to find out more about the benefits at EMBL.

Need a visa?

No problem. Our special status enables us to hire talented individuals from across the globe. So far we have 76 nationalities. We would love to make it 77!

Find out how we support international applicants.

Click here

What to expect from our recruitment process

Click here

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