AI Product Manager – ClinicoGenomics
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Job Description
AI Product Manager driving AI applications for precision medicine workflows at Dedalus. Leading product strategy and engaging with healthcare stakeholders for better clinical data integration
Responsibilities:
- Define and drive the product strategy and roadmap for AI applications that consolidate and operationalise clinical and genomic data to support precision medicine workflows
- Support the Lead PM in defining and maintaining the global AI product roadmap for Health Data, ensuring alignment with corporate strategy and market needs
- Manage the end-to-end lifecycle of specific products within the AI portfolio, from ideation and requirements gathering through to launch and iteration
- Engage directly with healthcare and life sciences customers and internal stakeholders to understand workflows, pain points, and opportunities for AI-driven improvement
- Create the business case for specific products, from scope to cost and RoI
- Lead a development team working hand in hand with a Tech Lead in the development of the requirements into a product using agile methodology and ceremonies
- Evaluate third-party data platforms, genomics pipelines, AI vendors, and precision medicine toolkits relevant to the portfolio
- Define clinical validation frameworks and success metrics appropriate to AI-driven precision medicine applications, supporting sales in the positioning of the product on the market, monitoring adoption and impact post-launch
- Collaborate with the quality assurance team to ensure products comply with relevant regulatory, data privacy, and clinical safety requirements across target geographies (e.g. AI Act, GDPR, HL7/FHIR standards)
- Communicate progress, risks, and strategic updates to the relevant stakeholders
Requirements:
- Advanced degree (MSc or PhD) in Bioinformatics, Computational Biology, Translational Medicine Sciences, or a closely related field — required
- Minimum 5 years of product management experience in a healthcare setting, with direct exposure to clinical and genomic data environments
- Demonstrated understanding of genomics, clinical data standards (e.g. OMOP, FHIR)
- Practical experience applying AI/ML to biomedical or clinical data, including familiarity with multimodal data integration challenges
- Strong ability to work across scientific and commercial functions, translating research concepts into product reality
- Excellent communication and stakeholder management skills, with experience engaging clinical and scientific experts
- Native English speaker or C1/C2 English certification
Benefits:
- Dedalus is committed to providing an engaging, rewarding work experience
- Learning and innovation encouraged
- Promoting diversity, inclusion, equity, and equality
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