Research Lead, Predictive Oncology

About the role

The Research Lead will build and lead a research programme to improve the translational capabilities of the O-Predict platform. This hands-on leadership role involves defining the scientific roadmap, mentoring researchers, and collaborating across disciplines to translate experimental and molecular data into predictive solutions for oncology drug development.

Responsibilities

• Own and maintain a 2-year scientific research roadmap and 12-month execution plan.
• Lead R&D execution from question formulation through method development, validation, and interpretation.
• Coordinate contributions across Data Science, Computational Biology, and experimental teams.
• Shape future data generation by co-designing studies with clinical and experimental colleagues.
• Define validation strategies, including endpoints, external baselines, and evaluation protocols.
• Lead the production of manuscripts, conference materials, and scientific presentations.

Required skills

• Python
• SQL
• Statistical inference
• Predictive modelling
• Study design
• Translational oncology
• Computational biology
• Biostatistics
• Machine learning

Nice to have

• Biotech R&D leadership
• Health technology
• Patient-derived models
• Drug sensitivity assays
• Clinical trial design
• Oncology endpoints
• Multimodal data integration
• Survival modelling
• Pharmacological modelling

Qualifications

• PhD, PharmD, MD, or MSc with an equivalent research record in a quantitative or biomedical discipline

About the Company

Orakl Oncology is a fast-growing, mission-driven startup that combines patient-derived tumor models, experimental drug screening, and computational modelling to improve oncology drug development. They collaborate with hospitals, research institutes, and pharmaceutical companies worldwide to make drug development smarter, faster, and more personalised.