Are you passionate about using data to drive groundbreaking medical research? Do you want to be at the forefront of AI-powered drug discovery for immunology?

Our client is seeking a Biomedical Data Engineer, whose expertise will directly shape the future of precision medicine. In this role, you’ll build and enhance data infrastructure, ensuring that cutting-edge multimodal datasets are accessible, high-quality, and ready to power world-class research. Your work will be pivotal in transforming how immune-mediated inflammatory diseases (IMIDs) are understood and treated. This role is permanent, based in Paris and looking for someone to start ASAP.

You’ll be part of a pioneering deep tech company that’s redefining immunology through AI. Backed by top-tier academic and industry partnerships, the team is committed to advancing medical science, with a proven track record of high-impact research published in leading journals.

Be part of this mission—where your skills will help unlock new possibilities in precision immunology.

Main missions

• Data sourcing: identify public datasets in immuno-inflammation including clinical and molecular data, and develop technical solutions to automate the collection and integration of datasets.
• Data processing: design, develop, and maintain robust bioinformatic pipelines to automate the curation, cleaning, and preparation of the company’s data portfolio. Ensure the integrity and reliability of processed data for downstream analysis.
• Data annotation: implement and maintain high-quality annotations for datasets, ensuring they are comprehensive, accurate, and aligned with internal standards.
• Data documentation: Manage and maintain clear and detailed documentation for all datasets, including metadata, provenance, and usage guidelines. Ensure that documentation adheres to industry best practices and facilitates reproducibility.
• Data visualization: Create visualizations and conduct feasibility studies to evaluate datasets and support business decisions. Provide intuitive dashboards or tools to explore the datasets and get actionable insights.
• Coding Collaboration: You will work closely with the technical team to support their efforts in modelling data, fostering good practices in software engineering, and ensuring seamless integration of datasets into analytical workflows.
• Collaboration: work closely with business, scientific, and data science teams to ensure datasets are readily accessible, well-documented, and meet quality standards. Act as a point of contact for dataset-related inquiries and technical support.