Senior Computational Biologist

I am partnered with a rapidly growing deeptech company harnessing artificial intelligence and multimodal data to transform the way drug discovery is done in immunology and inflammation.

Their proprietary AI platform is based on a cutting-edge foundation model that enables precise identification of therapeutic targets and biomarkers using diverse biomedical data-from genomics and histology to clinical and imaging modalities.

Your role:

As a Computational Biologist, you'll work at the crossroads of machine learning, computational biology, and drug development. You will:

• Advance internal and external collaborative R&D projects aimed at identifying novel biomarkers, therapeutic targets, drug combinations, and indication expansion opportunities-leveraging cutting-edge multi-omics and clinical datasets.
• Design and implement novel computational methods to analyze multi-modal patient data (genomics, transcriptomics, imaging, clinical records, etc.) with the goal of improving the accuracy of therapeutic insights.
• Contribute to the evolution of the scientific and technical roadmap, ensuring they stay ahead in AI for biology and drug discovery.
• Collaborate closely with academic researchers and biotechnology / pharmaceutical partners to generate novel hypotheses for autoimmune and inflammatory diseases.
• Provide guidance and mentorship on computational biology practices and reproducible research.
• Serve as the primary liaison for biopharma and academic clients-understanding their scientific and technical needs, managing project communications, and translating complex biological solutions into actionable insights for both technical and non-technical stakeholders.

Your Profile:

• MSc in Bioinformatics, Computational Biology, Computer Science, or a related field.
• 3-5 years of industry experience in a biotech or pharma setting as a Computational Biologist.
• Strong experience working with multi-omics datasets and applying machine learning/statistical methods to biological problems.
• Proven ability to engage with customers or clients in scientific or technical project settings.
• Strong interpersonal skills with the ability to communicate complex biological concepts clearly to both technical and non-technical audiences.
• Solid programming skills (preferably in Python)

Nice to Have:

• Experience developing and deploying scalable ML tools in a biological context.
• Familiarity with deep learning libraries (e.g., PyTorch, TensorFlow) is a plus.
• Publication record in relevant computational biology or AI conferences/journals.
• Knowledge of immunology and inflammatory disease biology.
• PhD considered a +

Following your application Jay Robins, a specialist AI & Computational Sciences Recruitment consultant will discuss the opportunity with you in detail. He will be more than happy to answer any questions relating to the industry and the potential for your career growth. The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available. This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.

Please click 'apply' or contact Jay Robins for any further information.

Email: