Vice President, Engineering

Responsibilities

• Define and execute a technical vision that prioritizes high-leverage computational capabilities over traditional software features, ensuring engineering effort directly increases drug asset quality and value.
• Act as a core collaborator for the CTO and leadership team, translating complex clinical and business bottlenecks into scalable engineering solutions.
• Embed engineering resources within Business Development, Clinical, and R&D units to leverage technology to address operational needs.
• Partner with Data Science to build the engineering architecture required for complex analysis, including Real-World Evidence (RWE) platforms, asset screening frameworks, and prediction pipelines.
• Collaborate with Product to build specialized tools that streamline R&D workflows, moving the needle from manual efforts to technology-augmented insight generation.
• Develop and scale proprietary platforms for the ingestion and operationalization of external, clinical, and biological datasets.
• Ensure the delivery of GxP-validated clinical environments and automated security compliance, maintaining a regulatory-first posture without sacrificing speed.
• Deploy and scale LLM-integrated features and autonomous agents to drive multiplier efficiencies across the organization.
• Manage and mentor a specialized engineering organization, fostering a high-performance culture that values technical rigor, interdisciplinary collaboration, and mission-driven delivery.
• Refine the team structure to maintain high talent density and quality engineering in a fast-paced biotech environment.

Requirements

• 10+ years of experience in software/data engineering and technical leadership, with a significant background in the Boston biotech or pharma-tech ecosystem.
• Experience as a VP of Engineering at 2–3 different biotechs with deep understanding of the drug development lifecycle from Discovery through Phase III.
• Experience managing and mentoring a team of 15+ engineers.
• Deep expertise in building data ingestion pipelines and managing complex, heterogeneous biological and clinical datasets.
• Experience working within GxP (GCP, GLP, GMP) environments and building "regulatory-ready" technical capabilities.

Nice-to-Haves

• Comfort discussing risk-adjusted NPV, asset-level ROI, and clinical trial bottlenecks with CEOs, CMOs, and investors.
• Passion for using engineering to solve the drug development bottleneck and bring treatments to patients faster.