Computational Biologiste

CDI
Paris
Salaire : 52K à 57K €
Début : 07 septembre 2025
Télétravail fréquent
Expérience : > 3 ans
Éducation : Bac +5 / Master

Epigene Labs
Epigene Labs

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Le poste

Descriptif du poste

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 and 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


Profil recherché

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


Déroulement des entretiens

  • 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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