PathAI
Staff Product Manager, BioPharma Platforms
$146K–$224K
Boston, MA or Remote +1 · Remote · Staff · Full-time · Posted Oct 13, 2026
- Location
- Boston, MA or Remote
Boston, Massachusetts, United States - Experience
- 7+ years of product management experience.
- Education
- Bachelor’s or advanced degree in Computer Science, Computational Biology, Biomedical Engineering, Life Sciences, or a related discipline.
About the job
Shapes and drives enterprise biopharma platforms supporting translational research and clinical development, connecting clinical workflows with scalable software capabilities.
What you'll do
- Define and execute platform product strategy, vision, and roadmap; lead product development from discovery through enterprise rollout.
- Partner with Clinical Operations, Regulatory, Quality, and Data Governance to establish compliant platform standards and measure adoption and reliability.
- Align platform investments with scientific leaders and biopharma partners, and champion product management practices and modular architectures.
What they ask for
- Bachelor’s or advanced degree in Computer Science, Computational Biology, Biomedical Engineering, Life Sciences, or a related discipline.
- 7+ years of product management experience building and scaling enterprise platforms, data infrastructure, or healthcare SaaS products.
- Experience driving software and data products in life sciences, biotechnology, digital health, bioinformatics, or clinical research.
- Strong communication and influencing skills across technical, scientific, and executive stakeholders.
Nice to have
- Advanced degree in a relevant discipline.
- Experience with MLOps, digital pathology, multi-omics, regulated clinical trial analytics, or regulatory validation and quality compliance.
Pay
$146,250 - $224,250 (base salary)
Tools
MLOps, 21 CFR Part 11, GxP, HIPAA, GDPR, SaMD
AI focus
The role supports platforms for translational research and clinical development involving machine learning and AI; preferred experience includes platforms supporting MLOps.
Model-written summary · the original posting is authoritative