Descrizione della Posizione Lavorativa
Join Dedalus as a Product Manager for ClinicoGenomics and help make healthcare safer, more effective and more reliable. This remote role (across European locations) focuses on creating AI-enabled clinical data products that combine structured clinical records, genomic information and advanced AI to support precision medicine workflows in hospitals and health systems.
In this position you will lead the development of products that consolidate and analyse multimodal clinical data. You will need both scientific credibility to interact with clinical and research stakeholders and the product skills to turn complex multi-omics and imaging use cases into commercially viable AI solutions.
Responsibilities
- Define and drive product strategy and roadmap for AI applications that operationalise clinical and genomic data to support precision medicine.
- Support the Lead Product Manager in maintaining the global AI product roadmap for Health Data, ensuring alignment with corporate strategy and market requirements.
- Manage end-to-end product lifecycle for assigned products, from ideation and requirements gathering to launch and iterative improvement.
- Engage directly with healthcare and life-science customers and internal stakeholders to map workflows, pain points and opportunities for AI-driven improvements.
- Create business cases for products, defining scope, cost and expected ROI.
- Lead a development team together with a Tech Lead 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 for AI-driven precision medicine applications and support sales with go-to-market positioning, adoption monitoring and impact assessment post-launch.
- Collaborate with quality assurance to ensure compliance with regulatory, data privacy and clinical safety requirements across target geographies (e.g., AI Act, GDPR, HL7/FHIR).
- Communicate progress, risks and strategic updates to stakeholders.
Essential requirements
- Advanced degree (MSc or PhD) in Bioinformatics, Computational Biology, Translational Medical Sciences or a closely related field.
- Minimum 5 years of product management experience in a healthcare setting with direct exposure to clinical and genomic data environments.
- Solid understanding of genomics and clinical data standards (e.g., OMOP, FHIR).
- Practical experience applying AI/ML to biomedical or clinical data and familiarity with multimodal data integration challenges.
- Ability to work across scientific and commercial functions to translate research concepts into products.
- Excellent communication and stakeholder management skills, with experience engaging clinical and scientific experts.
- Native English speaker or C1/C2 English certification.
Desirable
- Experience at or with AI-native companies and iterative, data-driven development practices.
- Knowledge of precision oncology, rare disease diagnostics or pharmacogenomics use cases.
- Familiarity with federated data architectures, de-identification frameworks or synthetic data for clinical AI development.
Application closing date: 31st May 2026.
Dedalus is committed to diversity, inclusion, equity and equality and strives to create an inclusive culture that celebrates diversity and empowers everyone to do their best.
Requisiti
MSc or PhD in Bioinformatics/Computational Biology/Translational Medical Sciences or related; minimum 5 years product management experience in healthcare with exposure to clinical and genomic data; knowledge of genomics and clinical data standards; practical AI/ML experience on biomedical data; strong cross-functional and stakeholder management skills; native or C1/C2 English. Desirable: AI-native company experience, precision oncology/rare disease/pharmacogenomics knowledge, federated/de-identified/synthetic data familiarity.
Competenze richieste
Competenze professionali
Genomics
Clinical data standards (OMOP
FHIR)
AI/ML for biomedical data
Multimodal data integration
Product roadmapping
Agile methodology
Clinical validation frameworks
Regulatory & data privacy (GDPR
AI Act
HL7/FHIR)
Competenze trasversali
Communication
Stakeholder management
Cross-functional collaboration
Leadership
Strategic thinking
Problem solving