Lead the vision, strategy, governance, and development of the Clinical Data Layer, enabling secure and efficient clinical data flow across the development lifecycle.
This role leads the medical affairs function at Keros Therapeutics, establishing short-term stabilization and creating a long-term roadmap to scale the team as clinical assets progress, serving as the primary liaison for patient advocacy groups and KOLs.
Compensation
Potential base pay range $225,000—$257,000 USD
Responsibilities
Lead the medical affairs function, establishing short-term stabilization and creating a long-term roadmap to scale the team as clinical assets progress.
Serve as the primary liaison and strategic lead for patient advocacy groups across DMD, ALS, and bone disorders, fostering trusted, long-term external relationships.
Drive the development and execution of the scientific communications strategy, including managing the medical publication planning, abstracts, and congress presentations.
Execute hands-on external engagement strategies, identifying, developing, and maintaining relationships with key opinion leaders (KOLs) and regional medical experts.
Act as the core medical affairs subject matter expert, partnering closely with Clinical Development, Clinical Operations, and Regulatory Affairs to support trial execution and insight generation.
Requirements
Advanced scientific degree (MD, PhD, PharmD, or equivalent)
Lead the vision, strategy, governance, and development of the Clinical Data Layer, ensuring secure and efficient data flow from source systems to trusted data products across the clinical development lifecycle.
Compensation
This position's reasonably anticipated salary range is $148,000-$195,000 annually. The actual salary offered will consider internal equity and may also vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience, among other factors.
Responsibilities
Own the vision, strategy, governance, adoption, and continued development of the Clinical Data Layer
Define and communicate long-term vision, roadmap, investment case, and business strategy
Establish governance for data products, metadata, reference data, quality controls, access, stewardship, and measures of platform value
Partner with architecture and technology teams to enable scalable integration, common data models, interoperability, and reusable clinical data flows
Shape safe, high-value uses of artificial intelligence, intelligent automation, semantic models, knowledge graphs, and agent-based capabilities
Requirements
Bachelor’s degree in data science, computer science, clinical informatics, life sciences, technology, statistics, or a related field
Nice to have: led large-scale business transformation involving clinical data, digital capabilities, and global, cross-functional stakeholders in regulated environments
Nice to have: understanding of clinical data standards, metadata management, data architecture, statistical analysis workflows, governance, and the clinical development lifecycle
Nice to have: familiarity with cloud data platforms, data lakes, data products, application programming interfaces, and modern integration patterns
Nice to have: ability to connect business and technical perspectives and understand artificial intelligence, machine learning, agents, semantic layers, and modern data ecosystems
