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Owkin is an agentic AI company building K Pro, an AI scientist for pharmaceutical research. K Pro orchestrates AI skills and tools to decode complex biology, accelerate research, and increase productivity for pharmaceutical and biotech partners.
You will operate at the intersection of AI, software systems, and biology in a hands-on, client-facing role. You will work directly with leading pharmaceutical and biotechnology companies to design, build, and deploy production-grade AI solutions for complex scientific problems. This role requires spending time at customer premises, translating ambiguous scientific challenges—such as discovering novel drug targets or disease subtypes—into reliable and scalable agentic solutions. You will be responsible for both the scientific rigor of analytical workflows and the technical robustness of their implementation and deployment.
Key responsibilities include:
- Deploying and custom-building Owkin's agentic AI platform (K Pro) to specific client needs by implementing new analytical workflows and integrating the platform into clients' existing systems
- Translating complex biological and operational questions into concrete computational workflows, utilizing deep clinical and multi-omics data (genomics, transcriptomics, etc.) and computational biology methodologies
- Rapid prototyping and iterating quickly with users to validate solutions, balancing speed and quality
- Collaborating with Customer Success Managers, R&D data scientists, biologists, and software engineers to ensure delivery of high-quality scientific insights
- Communicating effectively with diverse stakeholders—from clinicians and biologists to technical engineering teams—to ensure alignment and adoption
- Participating in team-wide on-call rotation
- Frequent international travel to support global operations and client needs, including Owkin's Paris office and client premises across the UK, US, France, Germany, and Switzerland. Candidates must be based near a major international airport or train station to facilitate this travel schedule.
Requirements:
- Education: MSc or PhD in Computational Biology, Bioinformatics, Biology, Computer Science, or related field
- Proven expertise and impact in analyzing complex data, such as real-world clinical data and multimodal omics (bulk, spatial/single-cell, proteomics) and high-throughput experimental data
- Strong knowledge of molecular biology and at least one major therapeutic area (oncology, immunology & inflammation, neurology, etc.)
- Ability to operate in fast-paced environments, managing ambiguity and driving progress toward delivery
- Very strong programming skills in Python; ability to conduct exploratory analyses and data visualizations; and ability to write clean, production-grade code. Strong familiarity with coding agents
- Familiarity with machine learning concepts (cross-validation, statistical tests) and frameworks (scikit-learn, XGBoost, etc.). Experience with LLMs and agentic AI frameworks is a plus
- Exceptional ability to translate scientific complexity for non-technical internal and external stakeholders
Preferred qualifications:
- Experience in a Biotech/Pharma environment and excellent understanding of the drug discovery pipeline
- Demonstrated ability to write production-level code in deployed products
