Descrizione della Posizione Lavorativa
Are you looking for a role with real purpose, where you can help make healthcare safer, better and more reliable? Join Dedalus as an AI Product Manager - ClinicoGenomics. This is a remote position available across our European locations (posting also listed for Ancona, Italy), where you will lead the creation of AI-enabled clinical data products that enable precision medicine workflows in hospitals and health systems.
Responsibilities
- Define and drive product strategy and roadmap for AI applications that consolidate and operationalise clinical and genomic data to support precision medicine.
- Support the Lead PM in maintaining the global AI product roadmap for Health Data and ensuring alignment with corporate strategy and market needs.
- Manage end-to-end product lifecycle from ideation and requirements gathering to launch and iterative improvement.
- Engage healthcare and life-science customers and internal stakeholders to map workflows, pain points and opportunities for AI-driven improvements.
- Create business cases including scope, cost estimations and ROI analysis for specific products.
- Lead development teams in collaboration with a Tech Lead, using agile methodologies 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 market positioning, adoption monitoring and impact assessment post-launch.
- Collaborate with quality assurance to ensure compliance with relevant 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 discipline.
- Minimum 5 years of product management experience in a healthcare setting with direct exposure to clinical and genomic data environments.
- Demonstrated understanding of genomics and clinical data standards (e.g., OMOP, FHIR).
- Practical experience applying AI/ML to biomedical or clinical data, including multimodal data integration challenges.
- Strong ability to translate research concepts into commercially viable products and to work across scientific and commercial functions.
- 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: 31 May 2026.
Benefits
- Remote work across European locations.
- Opportunity to have significant impact on healthcare delivery and precision medicine.
- Inclusive culture with a commitment to diversity, equity and inclusion.
Requisiti
Advanced degree (MSc or PhD) in Bioinformatics, Computational Biology, Translational Medical Sciences or related field; minimum 5 years product management experience in healthcare with direct exposure to clinical and genomic data; demonstrated genomics and clinical data standards knowledge (e.g., OMOP, FHIR); practical AI/ML experience on biomedical/clinical data; strong cross-functional and stakeholder management skills; native English or C1/C2 certification. Desirable: experience with AI-native companies, precision oncology/rare-disease/pharmacogenomics knowledge, familiarity with federated architectures, de-identification or synthetic data.
Competenze richieste
Competenze professionali
Product management (healthcare)
Genomics knowledge
Clinical data standards (OMOP
FHIR)
AI/ML for biomedical data
Multimodal data integration
Clinical validation frameworks
Regulatory & data privacy (GDPR
AI Act
HL7/FHIR)
Business case and ROI analysis
Evaluation of data platforms and genomics pipelines
Federated data architectures (desirable)
Competenze trasversali
Communication
Stakeholder management
Cross-functional collaboration
Strategic thinking
Leadership
Problem solving
Teamwork
Adaptability