Data Scientist / Data Engineer – R&D Data Science & AI

About the role

We are looking for a talented R&D Data Scientist / Data Engineer to join our Therapeutics Discovery team. You will work at the intersection of data science and biology, turning complex datasets into actionable insights that accelerate drug discovery.

Key responsibilities

• Develop and apply advanced ML/AI models for target identification, multi‑omics integration and mechanistic insights.
• Work with chemical, biological, imaging and assay data using deep learning, graph learning and generative models.
• Build and maintain scalable data pipelines to integrate and standardise R&D data.
• Partner with platform and engineering teams to deploy models following MLOps best practices.
• Collaborate with scientists to translate experimental data into discovery‑driving insights.
• Contribute to experiment design, data interpretation and iterative research improvements.
• Evaluate new tools, technologies and data platforms to support innovation.

Required profile

• Master’s or PhD in Data Science, Bioinformatics, Computational Biology, Chemistry, Computer Science or a related field.
• Hands‑on experience applying ML/AI in scientific or research environments.
• Strong Python programming skills.
• Experience with PyTorch, TensorFlow, scikit‑learn and RDKit.
• Background in data engineering, pipelines, ETL/ELT and cloud platforms (AWS, GCP or Azure).
• Ability to collaborate effectively with scientific teams.
• Desirable: experience in pharma/biotech discovery, familiarity with omics, imaging or assay data, knowledge of FAIR principles and regulated environments.

Required skills

• Python
• PyTorch
• TensorFlow
• scikit‑learn
• RDKit
• Data engineering (pipelines, ETL/ELT)
• Cloud platforms (AWS, GCP, Azure)
• MLOps

What we offer

• Opportunity to contribute to cutting‑edge therapeutic innovation.
• Collaboration with world‑class scientists and engineers.
• Access to state‑of‑the‑art data platforms and AI tools.