STATION F
COMPUTATIONAL BIOLOGY INTERN (6 MONTHS)
STATION FFrance6 hours ago
InternshipRemote FriendlyResearch, Analyst +1
About

At WhiteLab Genomics, we believe that every patient deserves access to life-saving treatments. We won’t rest until that belief becomes a reality.

Driven by our commitment to transforming the future of healthcare, we’ve earned our place among the top innovators, including Y Combinator, French Tech 2030, and Future 40 by Station F. We’ve also been recognized by The Galien Foundation as a “Best Startup” in healthcare innovation and as Manufacturing Tech Disruptor of the Year - 2024 at Advanced Therapy Awards: Phacilitate in the USA, among other accolades.

We're committed to revolutionizing genomic medicine, delivering single-dose cures to millions with cancer and neurodegenerative and rare diseases worldwide.

By integrating cutting-edge data science, computational biology, and structural biology to design genomic medicine vectors with unprecedented precision, we're advancing the frontiers of healthcare and addressing critical challenges with the highest stakes.

If you’re passionate about improving patient outcomes and the intersection of biology and technology, we’d love to meet you!

Join us – together, we’ll bring life-saving treatments to the people who need them most.

Job Description

About WhiteLab Genomics

WhiteLab Genomics was founded on a simple belief: life-saving therapies should be accessible to all. We’re backed by Y Combinator, French Tech 2030, Future 40 (Station F) and recognized by The Galien Foundation (“Best Startup”). Our ambition is to be the go-to AI partner for genomic medicine R&D—combining scientific rigor, mentorship, and growing technical autonomy.

Team

Our Computational Biology team builds prediction and optimization tools for payload design and manufacturing in cell and gene therapy. We analyze multi-omic datasets—particularly single-cell RNA/DNA—to improve drug design and power WLG’s in-silico tools, pipelines, and models.

Here’s How You’ll Make An Impact…

  • Develop methods leveraging multi-omic data to optimize synthetic DNA sequence design for cell & gene therapy.
  • Run and improve bioinformatics analyses (with a focus on single-cell, transcriptomics, and epigenomics).
  • Help design, implement, and validate machine learning approaches for promoter design and related models.
  • Build, harden, and document analysis pipelines and reproducible workflows.
  • Collaborate in cross-functional projects with project managers, scientists, and engineers.
  • Communicate results clearly (notes, dashboards, presentations) and present your work company-wide at the end of the internship.

Preferred Experience

We’re Eager to Meet You If…

  • You have a master’s in bioinformatics, biostatistics, Computational Biology or a related field
  • You have comprehensive programming skills in Python or R with experience in bioinformatics toolkits and libraries (e.g. Bioconductor, scikit-learn)
  • You possess comprehensive communication skills, curiosity, and have a proactive can-do attitude
  • You’re proficient in English and you’re eager to dive into a multicultural workplace, where both English and French are spoken regularly
  • You have knowledge of molecular biology principles
  • You are familiar with biological databases and resources
  • You are familiar with statistical approaches for biological data analysis, especially single-cell RNA-seq

Recruitment Process

  • Intro video call (30 min) with People & Culture
  • Technical interview (45–60 min) with the Head of Computational Biology
  • Onsite loop (2–3 hrs) with the Computational Biology team
  • Reference checks → Offer

Additional Information

  • Contract Type: Internship (Between 6 and 6 months)
  • Location: Paris
  • Possible partial remote

Key Skills

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