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Epigene Labs
Epigene Labs

Computational Biologist

Join Epigene Labs, a pioneering techbio company focused on precision oncology. As a Computational Biologist, you will design and implement pipelines for cancer transcriptomic data integration, develop analysis workflows, and create bespoke algorithms. You will collaborate closely with an interdisciplinary team and communicate results in various settings. A Ph.D. or Master's degree in Computational Biology, Bioinformatics, or related fields is required, along with experience in NGS data analysis and strong programming skills in Python.

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Job summary
Permanent contract
Paris
A few days at home
Salary: €52K to 57K
Starting date: September 07, 2025
Experience: > 3 years
Education: Master's Degree
Skills & expertise
Communication skills
Git
Azure
AWS
Python
Key missions

Concevoir, prototyper et mettre en œuvre des pipelines pour l'intégration et la normalisation des données transcriptomiques du cancer.

Développer des workflows d'analyse robustes et flexibles et des outils bioinformatiques pour traiter différents types de données NGS.

Documenter, résumer et communiquer les résultats dans divers contextes, y compris les réunions de gestion et, occasionnellement, les conférences scientifiques.

Epigene Labs
Epigene Labs

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Questions and answers about the job

The position

Job description

Epigene Labs is a pioneering techbio company focused on implementing augmented intelligence in precision oncology. We are seeking a strongly motivated Computational Biologist eager to leverage their skills in our fight against cancer.

As a member of the computational biology team, you will have a pivotal position and will collaborate closely with an interdisciplinary team.

This position encompass the following activities

  • Design, prototype, and implement pipelines for automatic integration and normalization of cancer transcriptomic data, as well as other high-throughput molecular data types ensuring data quality and performance

  • Develop robust and flexible analysis workflows and bioinformatic tools to process different types of NGS data

  • Develop bespoke algorithms for combining and prioritizing the results we generate

  • Document, summarize, and communicate results in various settings, including management meetings and, on occasion, scientific conferences

Preferred experience

Required

  • Ability to implement and benchmark computational methods from the fields of biostatistics and bioinformatics

  • Experience in end-to-end pipeline implementation for data management

  • Experience in the analysis and interpretation of multiple types of NGS data (RNA-Seq, DNA-Seq, scRNA-Seq)

  • Strong programming ability in python

  • A team player with the ability to also work autonomously, and who has a lifelong learning mindset

  • Outstanding interpersonal and English communication skills

Preferred

  • Experience integrating multi-omics data is a plus

  • Experience working in cloud environments such as AWS, Azure

  • Experience with mining publicly available databases (GEO, TCGA, etc.)

  • Experience with version control systems (Git) and development good practices (unit testing, CI/CD)

Education and experience

  • P.h.D. or Master’s degree in Computational Biology, Bioinformatics, or related technical fields with 2/3 years of experience

  • Working knowledge of healthcare, biopharma and/or oncology is a plus

Recruitment process

  • Initial fit call with the computational biology lead.

  • Technical challenge based on real-world problems to assess collaboration skills

  • Meet the leadership team

  • Discussion with the CEO

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