PhD-level Computational Biologist

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PhD-level Computational Biologist

Science

Full-Time

PARIS

Offer date:

Sep 29, 2026

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Cure51, a pioneering biotech company, focuses on leveraging the unique biology of long-term cancer survivors for novel target discovery and precision medicine tools. We are seeking a Computational Biologist with strong experience in analysing NGS data and developing bioinformatic tools to analyse our multi-omic data, with particular focus on spatial transcriptomics (Xenium). This role requires a high-level of understanding of both molecular biology and spatial sequencing technologies, as well as the ability to iterate fast and work autonomously.

Responsabilities

• Play a key role in maintaining and developing new computational tools with a strong focus on writing production-ready code in Python
• Develop bespoke algorithms and analytical approaches to integrate multi-omic data (WES, scRNA-Seq, Xenium) and test biological hypotheses
• Contribute to our in-house spatial analysis workflow (novae, sopa, Xenium)
• Record and communicate results to internal stakeholders and in team meetings

Key attributes

• Good development practices for modern software development (git, github, unit testing, CI/CD)
• Experience in target discovery
• Experience working with frozen and FFPE clinical data
• Experience with using or developing Foundation Models for use in Biology (e.g. scGPT or DNABERT-2)

ADVANTAGES

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PLACE

Rue des Archives 75003 Paris

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QUALIFICATIONS

Action

• PhD in bioinformatics, machine learning (Biology) or related discipline
• Experience working with common bioinformatic tools and libraries (uv, github, AnnData, scanpy, other scverse libraries)
• Experience in working with spatial transcriptomics data (ideally Xenium or other imaging-based machines)
• Strong programming ability in Python
• Experience in the analysis and interpretation of multiple types of NGS data (scRNA-Seq, DNA-Seq)
• High-level understanding of molecular biology and a familiarity with biological databases and resources
• Proven ability to manage multiple tasks and projects simultaneously with a strong emphasis on organisation and time management
• Ability to communicate complex scientific topics to both internal and external stakeholders • Ability to work both autonomously and as part of a team
• Experience working in cloud environments such as AWS or Google Cloud
• Proficiency in English

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NEWS

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