Data Scientist / Research Developer – DME

✨ Data Scientist / Research Developer ✨

The DME team, a transversal group working closely with Protein Vector Engineering and Computational Biology, is seeking a Data Scientist / Research Developer. This role is primarily focused on data science and coding (Python), with a strong emphasis on:

• Implementing and evaluating ML models.
• Turning prototypes into clean, reusable code.
• Helping to make data and models FAIR and systematic.

Biology knowledge is a strong plus but not strictly required; you will learn domain context on the job.

🚀 Core Mission within the AI FAIR Lab 🚀

Work on data science tasks for internal projects related to gene and cell therapies (in collaboration with other data scientists and domain teams).

🛠️ Key Responsibilities 🛠️

• Implement and maintain ML experiments in a reproducible way:

  • Data preprocessing.
  • Model training scripts.
  • Evaluation workflows.

• Help transform research prototypes (from notebooks) into:

  • Clean Python modules.
  • Small internal libraries or scripts that can be reused across projects.

• Contribute to the FAIR and systematisation work of the team by:

  • Adding tests, logging, and configuration to existing code.
  • Refactoring models for reusability (e.g., moving from ad hoc code to parameterised functions/classes).
  • Helping to standardise input/output formats.

• Participate in benchmarking and comparisons of different models/approaches:

  • Setting up evaluation pipelines.
  • Tracking metrics.
  • Generating simple reports and visualisations.

• Collaborate with more senior team members (Senior Scientist, Head of DME team) to implement ideas from papers or internal proposals, and iterate quickly on model and data improvements.