PhD-level Computational Biologist

Cure51

Location

Paris, France

Job Type

Full-time

Posted

September 29, 2026

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Job Description

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)

QUALIFICATIONS

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

Frequently Asked Questions

Where is the job located, and is it remote, hybrid, or on-site?

The job is located in Paris, France. The provided text does not specify a remote, hybrid, or on-site work-mode policy.

What are the key responsibilities of this role?

You will maintain and develop computational tools with production-ready Python code, develop bespoke algorithms to integrate multi-omic data (WES, scRNA-Seq, Xenium), contribute to the in-house spatial analysis workflow (novae, sopa, Xenium), and communicate results to internal stakeholders.

What qualifications and experience are required?

You need a PhD in bioinformatics, machine learning (Biology), or a related discipline. Required experience includes Python programming, NGS data analysis (scRNA-Seq, DNA-Seq), spatial transcriptomics (ideally Xenium), common bioinformatic libraries (scanpy, AnnData), cloud environments (AWS/GCP), and English proficiency.

What key attributes or additional experience are you looking for?

We look for good software development practices (git, unit testing, CI/CD), experience in target discovery, experience with frozen and FFPE clinical data, and experience using or developing biological Foundation Models (like scGPT or DNABERT-2).