Clinical Design & Evaluation Manager

Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. The Clinical Design & Evaluation Manager will analyze Maven’s impact on clinical outcomes and collaborate with various teams to develop care models and interventions, while also communicating findings to the scientific community and clients.

Responsibilities:

• Help design retrospective and prospective projects to evaluate Maven’s impact on health outcomes
• Collaborate with the Clinical and Product teams on analyses and literature reviews to inform clinical strategy, care workflows and product design
• Quantitatively analyze data for projects assessing Maven’s influence on health outcomes using statistical analysis software (R preferred)
• Communicate research results and design strategy to a diverse audience including the scientific community, clients, and internal cross-functional teams
• Collaborate with the Marketing team on analyses to support market campaigns
• Work closely with Maven’s Directors, Clinical Research on research analyses and publications

Requirements:

• Minimum of a master's degree and 3 years work experience or a PhD in healthcare, public health, or a related field and industry exposure
• Experience developing clinical protocols, care pathways, and decision logic that translate evidence into scalable program structures
• Coding experience, in SQL and R (or with the desire and ability to learn R quickly if in another language), and a passion for dissecting and reconstructing complex issues with a data-driven approach
• Statistical experience with adjusted regressions and structural equation modeling
• A profile that balances technical abilities to answer questions through data manipulation and strong written and verbal communication skills, including 'translation' with team members of varying technical abilities and clinical subject matter expertise
• A sense of flexibility and prioritization in juggling both long-term, strategic projects and ad hoc, urgent requests as needed in a fast-paced startup environment
• Ability to learn fast. No specific content expertise is required but you will be expected to quickly learn about a range of health topics and conditions
• Passion to drive better maternal and family health outcomes, and help grow new and innovative care models in women's and family health
• Experience with data visualization software (Looker a plus)
• Experience working with Product teams and/or a start-up environment
• Experience using AI tools in a professional or research context — such as enterprise coding assistants, AI-powered workflows, or agentic tools — to meaningfully accelerate analysis, writing, or synthesis tasks