Senior Computational Biologist, Cancer AI & PDO Insights

Orakl Oncology; Villejuif; Presencial; EUR 60 000 - 95 000; Tempo integral

Resumo da oferta

Orakl Oncology is a fast-growing oncology-focused startup combining cutting-edge biology and AI. The role involves owning analysis and interpretation across complex datasets, collaborating with biologists, engineers and translational scientists to drive insights from omics and functional data.

We expect PhD-level expertise with strong Python skills, English fluency, and an interdisciplinary mindset. You will contribute to a multidisciplinary team tackling cancer biology and data processing in a

Qualificações

• PhD in Computational Biology, bioengineering or related field.
• 2–3 years analyzing complex biological data in a research or biotech setting is a plus.
• Strong programming skills in Python and fluency in the scientific coding stack.
• Fluent in English.

Responsabilidades

• Collaborate with cell biologists, translational scientists, organoid researchers, and data engineers to design analyses from experiments to interpretation.
• Turn analyses into actionable answers that inform programme and product decisions with robust rationale.
• Cross-analyze molecular, functional and clinical data to inform protocols and commercial readiness.
• Present results to internal and external stakeholders with publication-quality figures and narratives.

Conhecimentos

Python

English fluency

Interdisciplinary mindset

Formação académica

PhD in Computational Biology or related field

Descrição da oferta de emprego

Orakl Oncology is a fast-growing oncology-focused startup combining cutting-edge biology and AI. The role involves owning analysis and interpretation across complex datasets, collaborating with biologists, engineers and translational scientists to drive insights from omics and functional data.

We expect PhD-level expertise with strong Python skills, English fluency, and an interdisciplinary mindset. You will contribute to a multidisciplinary team tackling cancer biology and data processing in a