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École Polytechnique Fédérale de Lausanne

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Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology École Polytechnique Fédérale de Lausanne in Switzerland

Degree Level

Postdoc

Field of study

Cell Biology

Funding

Postdoctoral employment contract (CDD) at 100% for 12 months. The post does not specify stipend amount or tuition; it is a salaried research position at EPFL.

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Country

Switzerland

University

École Polytechnique Fédérale de Lausanne

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Keywords

Cell Biology
Computer Science
Biomedical Engineering
Biology
Developmental Biology
Neuropsychology
Epigenetic
Statistics
Bioinformatic
ML

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About this position

EPFL (École Polytechnique Fédérale de Lausanne) is advertising a Postdoctoral Position in Computational Genomics, Machine Learning & Single-Cell Biology within the Zenk Lab (NeuroNA Chair in Epigenomics of Neurodevelopmental disorders – EpiGN).

The project sits at the interface of computational biology, machine learning, single-cell genomics, and developmental biology. The successful candidate will work on integrating and analyzing multi-modal single-cell datasets, including scRNA-seq, scATAC-seq, scCUT&Tag, HiC, and proteomics, with a focus on trajectory inference, regulatory dynamics, and cell fate decisions.

This is a collaborative postdoctoral role with close interaction across EPFL labs, offering access to state-of-the-art single-cell multi-omics datasets and a strong environment for high-impact publications and career development.

Eligibility highlights: strong background in computational biology, bioinformatics, machine learning, or a related quantitative field; experience with machine learning and/or statistical modeling on biological data; proven single-cell analysis experience; proficiency in Python and/or R; collaborative mindset. Interest in developmental and human biology is valued.

Position details: 100% activity rate, CDD contract, 12-month duration, start date 06/01/2026. The post is physically located at EPFL in Switzerland.

How to apply: Use the EPFL careers portal and click “Apply now” on the job page. Review the posting carefully and submit your application online using reference 2072.

Funding details

Postdoctoral employment contract (CDD) at 100% for 12 months. The post does not specify stipend amount or tuition; it is a salaried research position at EPFL.

What's required

Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field. Experience with machine learning and/or statistical modeling applied to biological data is required, along with proven expertise in single-cell data analysis (scRNA-seq and/or scATAC-seq). Interest or experience in multi-modal data integration and trajectory inference is preferred. Proficiency in Python and/or R is required. Interest in developmental and human biology is valued but not required, and a strong collaborative mindset with ability to work across disciplines is expected.

How to apply

Click the Apply now link on the EPFL careers page and submit the application through the online portal. Review the job posting details and reference number 2072 before applying.

More information can be found here

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