Director, Biometrics AI Business Partner, AI for Clinical Development
$186,014–$279,022 year
On-siteGaithersburg, Maryland, United States
Job Summary
Serve as the strategic bridge between AI for Clinical Development and Biometrics, translating real needs into an executable AI roadmap that delivers measurable value across studies. Coordinate execution across teams and therapy areas, sequence dependencies, and monitor progress to ensure commitments convert into outcomes from early pilots to scaled capabilities. Partner with IT and data teams to align on access, pipelines, compute, and governance, ensuring solutions meet clinical data standards and are validated, audit-ready, and regulatory-grade. Continuously scan the external environment to assess promising ideas and identify methodological needs that responsibly advance clinical AI in a highly regulated context. Operate at the intersection of biostatistics, statistical programming, and enterprise-grade AI engineering to shorten cycle times and raise quality.
Required Qualifications
- Master's degree in AI/ML, biostatistics, data science, health informatics, or a related field
- 5+ years of experience in digital health, AI/ML, or a technology-driven environment within healthcare or drug development
- Demonstrated track record of identifying, articulating, and realizing the value of AI and data products in a real business setting
- Demonstrated stakeholder management ability, including building credibility with and influencing senior stakeholders across functions
- Demonstrated ability to coordinate delivery in a matrixed environment; building roadmaps and delivery plans, sequencing dependencies, and driving execution to completion
- Track record of assessing external innovation and converting a fast-moving landscape into prioritized, actionable recommendations
- Ability to understand and reason about data, data and compute infrastructure, and pipelines, and to translate fluently between technical teams and business or domain audiences
- Strong knowledge of Biometrics standards and workflows (e.g., biostatistics, statistical programming, and clinical data management) in drug development
- Comfort interfacing with IT and enterprise data functions on data access, governance, infrastructure, and compute
- Excellent interpersonal, verbal, and written communication skills
- Ability to operate in an international matrix environment
- Comfort with ambiguity and a bias for action in a fast-moving, build-from-the-ground-up environment
- Minimum of three days per week from the office
Desired Qualifications
- Hands-on experience in Biometrics (biostatistics, statistical programming, or data management) within biopharma
- Familiarity with clinical data and biostatistical standards and compliance
- Experience with cloud data platforms, data pipelines, and MLOps, sufficient to engage credibly with data engineering and infrastructure teams
- Experience with generative AI or agentic systems applied to statistical analysis, programming, and/or clinical text
- Experience supporting buy-vs-build decisions, vendor evaluation, or AI/data product management
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