Data Scientist – Drug Discovery

Data Scientist – Drug Discovery

Posted 4 days ago by Discover International

Negotiable
Undetermined
Undetermined
United Kingdom

Summary: The role of Data Scientist in Drug Discovery involves applying data science and machine learning techniques to support drug discovery initiatives within a Life Sciences organization in the UK. The position requires collaboration with cross-functional teams to analyze complex scientific datasets and improve decision-making in research. Candidates should have a strong background in data science, particularly within the Life Sciences sector, and be adept at communicating findings to diverse stakeholders.

Key Responsibilities:

  • 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

Key Skills:

  • 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
  • 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
  • Prior experience supporting early-stage discovery or translational programmes

Salary (Rate): undetermined

City: undetermined

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Life Sciences

Detailed Description From Employer:

Contract Data Scientist – Drug Discovery

Location: UK

Contract: 12 months

Sector: Life Sciences

We are supporting a Life Sciences organisation in the UK 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
  • Prior experience supporting early-stage discovery or translational programmes

Contract details

  • 12-month contract
  • UK-based role
  • Competitive day rate
  • Immediate or near-term start preferred