Computational Biologiste
CDD Paris (Paris)
Job description
About
Epigene Labs ensures cancer drug hunters pilot R&D programs thanks to rich and diverse human genomic data. The company’s technology platform combines artificial intelligence with domain expertise for the aggregation and analysis of multi-dimensional genomic data.
The team initially focuses on the identification of immunotherapy drug targets and biomarkers based on gene expression datasets from multiple public and private databases. Epigene Labs thus aspires to significantly accelerate drug discovery for precision medicine in oncology.
The company is supported by Station F, Agoranov, Cancer Campus, AstraZeneca, and the Harvard Innovation Labs.
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
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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
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Develop robust and flexible and analysis workflows and bioinformatic tools to process different types of NGS data
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Develop bespoke algorithms for combining and prioritizing the results we generate
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Document, summarize, and communicate results in various settings, including management meetings and, on occasion, scientific conferences
Preferred Experience
Required
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Ability to implement and benchmark computational methods from the fields of biostatistics and bioinformatics
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Experience in end-to-end pipeline implementation for data management
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Experience in the analysis and interpretation of multiple types of NGS data (RNA-Seq, DNA-Seq, scRNA-Seq)
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Strong programming ability in python
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A team player with the ability to also work autonomously, and who has a lifelong learning mindset
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Outstanding interpersonal and English communication skills
Preferred
·
Experience integrating multi-omics data is a plus
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Experience working in cloud environments such as AWS, Azure
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Experience with mining publicly available databases (GEO, TCGA, etc.)
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Experience with version control systems (Git) and development good practices (unit testing, CI/CD)
Education and experience
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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
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Initial fit call with the computational biology lead.
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Technical challenge based on real-world problems to assess collaboration skills
·
Meet the leadership team
·
Discussion with the CEO
Additional Information
· Contract Type: Full-Time
· Start Date: 08 September 2025
· Location: Paris
· Education Level: Master's Degree
· Experience: > 3 years
· Possible partial remote
· Salary: between 52000 and 57000 / year