Director, Biopharma Data Science

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OWKIN

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

🤖 Artificial Intelligence

🧬 Biotechnology

💊 Pharmaceuticals

Artificial Intelligence • Biotechnology • Pharmaceuticals

Owkin is an AI-driven biomedical company building an autonomous “AI Scientist” (K Pro) to automate and support biopharmaceutical R&D and clinical research. Its platform combines advanced machine learning and foundation models trained on a large multimodal patient data network with wet-lab validation and clinical partnerships to generate biological insights, inform clinical trial and patient/population decisions, and accelerate drug discovery and diagnostics. Owkin also incubates diagnostic spinouts and provides tools and services for data partners, model development, and translational research.

📋 Description

• Co-build Owkin's AI Scientist across data-first and knowledge-first discovery paradigms • Lead and/or contribute to projects discovering novel drug targets, biomarkers, and disease subtypes using patients' multi-omics and pre-clinical data • Apply multimodal analyses and machine/deep learning algorithms to genomics, transcriptomics, proteomics, and other biological data • Collaborate with biologists, MDs, computational chemists, agentic engineers, software engineers, ML engineers, and external academic or pharmaceutical collaborators • Provide scientific input to shape tools and capabilities needed by pharmaceutical partners • Communicate scientific results internally and externally • Extend Owkin's methodology, including regular literature review • Develop and retain a high-performing and engaged scientists team

🎯 Requirements

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, or Machine Learning with strong Computational Biology knowledge, or equivalent high-level industry experience • Deep expertise with multimodal datasets and omics modalities, including bulk RNA-seq, single-cell, spatial transcriptomics, WGS, WES, GWAS, and proteomics • Expert-level Python skills • Ability to write clean, modular code interfacing with complex APIs and databases • Publication record in top-tier journals and conferences • Ability to explain complex agent behaviors to AI and biological experts • Excellent written and oral communication skills • Fluent in English; French is a plus • Ability to manage stakeholder expectations across all levels and cross-functional teams • Highly collaborative, team-first mindset • Preferred: expertise in agentic AI, LLM reasoning, long-context management, and tool-augmented generation • Preferred: knowledge of medical and drug-discovery data modalities such as H&E and EHR • Preferred: experience training and deploying large-scale models and managing multi-agent orchestrations • Preferred: experience with causal inference and causal discovery in biological systems • Preferred: track record of turning research concepts into functional tools used by scientists

🏖️ Benefits

• Flexible work organization • Friendly and informal working environment • Opportunity to work with an international team with high technical and scientific backgrounds