Your group The Petsalaki, Saez-Rodriguez (EMBL-EBI) and Korcsmáros (Imperial College) groups develop cutting-edge computational and AI approaches to unravel cellular signalling and gene regulation from large-scale omics data. Our research combines systems biology, network modelling, and data-driven inference to understand disease mechanisms and guide therapeutic discovery. Your supervisor You will be supervised by Dr. Evangelia Petsalaki, along with Dr. Tamas Korcsmáros and Prof. Julio Saez-Rodriguez, in close collaboration with academic and industry partners of the Open Targets consortium. Your role Join us to build the next generation of tools that connect multi-omics data to disease mechanisms. As part of the NetworkCommons project, an ambitious Open Targets initiative, you will help create an open, community-driven platform that transforms how researchers interpret biological networks and identify new therapeutic targets. A pilot version of the project can be found here: https://academic.oup.com/bioinformatics/article/41/2/btaf048/8002097 You will benchmark and integrate state-of-the-art network contextualisation methods, combining large-scale transcriptomics, proteomics, and single-cell data across key disease areas including oncology, inflammatory bowel disease, and neuroinflammation. Working closely with developers and industry partners, you will contribute to a resource that will shape how network biology is applied in drug discovery and translational research. You have A PhD in computational biology, bioinformatics, computer science, or a related quantitative discipline Strong experience in omics data analysis and/or development of computational methods Ability to understand the data and interpret the results is important Proficiency in Python and/or R, and ideally also familiarity with reproducible workflows (e.g. Nextflow, Snakemake) A strong understanding of molecular or systems biology Excellent communication skills and enthusiasm for collaborative, interdisciplinary research You may also have Expertise in network biology, graph algorithms, or causal inference Experience benchmarking bioinformatics tools or integrating multi-omics datasets Familiarity with containerisation (Docker, Singularity) Interest in open science and building tools with real-world translational impact Contract length: 3-year grant limited fixed term contract. Salary: For individuals who have obtained their PhD, the Year 1 Stipend rate is applied at £3,383.52 per month after tax but excluding pension and insurance contributions. For individuals who are yet to be awarded their PhD, an initial predoctoral rate will apply at £2,436.14 per month after tax but excluding pension and insurance contributions. Next Steps: This vacancy has a scheduled closing date of 17th December - We invite you to submit your application as soon as possible. Please include both your up-to-date CV and cover letter. Should you be selected to be invited to interview, we will ask for two letters of recommendation to be provided ahead of your scheduled interview date. 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 17/12/2025