Data Scientist – Drug Discovery

Contract Data Scientist – Drug Discovery

Contract: 12 months

Sector: Life Sciences

We are supporting a Life Sciences organisation in DACH looking to engage a Data Scientist on a 12-month contract to support high-impact work across drug discovery .

This is a strong opportunity for someone who enjoys working at the intersection of data science, biology and discovery research , helping scientific teams extract value from complex experimental and computational data.

You will work closely with cross‑functional stakeholders across research and technology, applying advanced analytics and machine learning to support discovery programmes and improve scientific decision‑making.

What you will be doing

• Applying data science and machine learning approaches to drug discovery problems
• Working with complex scientific datasets including biological, omics, assay, imaging and/or molecular data
• Supporting use cases across areas such as target identification, hit discovery, lead optimisation and translational research
• Building robust analytical workflows, models and data pipelines
• Collaborating with scientists and technical teams to translate research questions into practical solutions
• Communicating findings clearly to both technical and non‑technical stakeholders

What we are looking for

• Proven experience as a Data Scientist within Life Sciences, Biotech or Pharmaceutical environments
• Strong Python and applied machine learning experience
• Experience working with scientific or R&D datasets relevant to drug discovery
• Strong grounding in statistics, modelling and data interpretation
• Ability to work effectively with biologists, chemists, computational scientists and wider technical teams
• Experience across multi-omics, cheminformatics, imaging, molecular modelling or related discovery data would be highly beneficial

Nice to have

• Experience with tools such as PyTorch, TensorFlow, scikit‑learn, RDKit or similar
• Familiarity with cloud‑based data science environments
• Exposure to multimodal data or graph‑based modelling approaches