Forward Deployed Computational Biologist

🏢 Owkin · 📍 Boston · 💼 remote · ⏰ FullTime

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Position Summary & Responsibilities

About us

Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have failed.
Owkin builds K Pro - an AI scientist for pharmaceutical research and strategic decision-making. K Pro orchestrates a suite of AI skills and tools to decode complex biology, accelerate research, and dramatically increase productivity.
K Pro is built on Owkin’s unrivalled multimodal patient data network, state-of-the-art AI for biology and a decade of experience working with pharmaceutical partners.

Please submit your CV in English

About the role:

We are seeking a Forward Deployed Computational Biologist to operate at the intersection of AI, software systems, and biology. In this role, you will work directly with leading pharmaceutical and biotechnology companies to design, build, and deploy production-grade AI solutions for complex scientific problems as part of Owkin’s agentic platform, K Pro, to fully meet specific customer needs.

This is a hands-on, client-facing role. You will spend time at the customer’s premises, turning 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 the analytical workflows and the technical robustness of their implementation and deployment, bridging the gap between science and real-world application.

In particular, you will:

Deploy & Custom-build: Tailor Owkin’s agentic AI platform, K Pro, to specific client needs by implementing new analytical workflows, and integrate our platform into the clients’ existing workflows.
Solve Scientific Problems: Translate 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: Iterate quickly with users to validate solutions, balancing speed and

🎯 Candidate Preparation Guide For Owkin Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Tests cutting-edge machine learning capabilities in federated learning applied to biology, medicine, and oncology research.

📋 Preparation Priorities (Key Areas to Clarify):

1. Proposing black-box models for medical diagnostics without interpretability or explainability
2. Lack of understanding regarding clinical data governance, GDPR, and HIPAA data silos
3. Treating biomedical data engineering as standard tabular or web data science

✨ Recommended Role Alignment Hook:

I build robust, privacy-preserving machine learning architectures that unlock insights across fragmented biomedical datasets without compromising data governance.

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