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Owkin logo
Owkin

We use AI to find the right treatment for every patient.

Senior Scientist / Principal Scientist – AI for Life Sciences

Artificial IntelligenceArtificial IntelligenceContractRemoteLeadTeam 201-500Since 2016H1B No SponsorCompany SiteLinkedIn

Location

United Kingdom + 2 moreAll locations: United Kingdom | Germany | France

Posted

40 days ago

Salary

0

Seniority

Lead

No structured requirement data.

Job Description

Senior Scientist / Principal Scientist – AI for Life Sciences

Owkin

Role Description We are seeking a highly motivated, hands-on Scientist to join our team on a fixed-term basis to accelerate our AI-driven drug discovery programs. You will operate at the cutting edge of Agentic AI and Large Language Models (LLMs), applying these technologies to solve complex biological challenges in Oncology or Age-Related Diseases. Your key responsibilities include: - Lead AI-Driven Discovery & Strategy - Actively participate in the Target ID and analysis plan, perform rigorous triage of target candidates and ideas, transitioning from high-volume AI outputs to high-quality biological leads, and ensuring efficient workflows and feedback. - Conduct Deep-Dives on top-tier Target/asset candidates to bring them to formal "go/no-go" milestones. - Collaborate with internal technical experts to leverage advanced computational and AI methodologies for subgroups identification, thereby uncovering novel patient populations and therapeutic niches. - Act as the Internal Champion for specific targets, presenting evidence to stakeholders and steering the project through the development funnel. - Orchestrate autonomous or semi-autonomous AI workflows to generate, test, and refine hypotheses (design and execute ‘AI Scientist Campaigns’). - Participate in In Silico Drug Design discussions, acting as the bridge between computational outputs and chemistry/biology teams. - Ensure biological relevance of our AI Models & Agents (including Owkin K) - Develop and refine functional "skills" for Agentic AI systems (e.g., tool-calling functions, and specialized reasoning chains). - Work closely with data science / compBio teams to define and optimize scoring functions and multi-parameter optimization weights for target/ assets candidate prioritization. - Ensure liaison between users and product owners/developers by gathering feedback, prioritizing needs, aligning score metrics with research objectives and following ground truth definitions. - Support consistent evaluation of outputs across model versions. - Documentation and Cross-functional Support - Maintain clear and updated documentation across projects. - Manage collaborations with top-tier academic labs to integrate external innovation and validate internal models. - Support data mapping and integration efforts while ensuring the alignment of data usage with research questions. - Partner with project managers and principal scientists to execute deliverables and communicate findings effectively. - Critically review work products from outsourced tasks and internal AI-generated outputs. - Direct and oversee outsourced laboratory work, ensuring data quality and alignment with AI-driven hypotheses. Qualifications - Ph.D. in Biomedical Sciences or related fields required - Deep knowledge in Oncology and/or Age-Related Diseases. - Experience in industry, especially in applying AI to Life Sciences and/or Drug Discovery. - Strong expertise in target discovery and pipeline management. - Capability to manage internal AI workflows with minimal supervision. - Excellent communication and management skills in cross-disciplinary environments. - Familiarity with LLMs and Agentic AI frameworks. - Curiosity and a drive to understand complex systems. - Fluency in English is mandatory. - Must be available to start quickly and commit to a fixed-term contract. Requirements - Demonstrated success in using semi-automated workflows for target prioritization. - Hands-on experience with translational datasets, clinical insights, and safety assessments. - Experience in multi-OMICS. - Prior experience managing Contract Research Organizations (CROs) for wet-lab validation. - Specific experience with Antibodies (Ab) or Antibody-Drug Conjugates (ADCs) is a desired plus. Benefits - Flexible work organization. - Friendly and informal working environment. - Opportunity to work with an international team with high technical and scientific backgrounds.

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