Senior Software Engineer II (AI Clinical Trial Systems)

Location: Hybrid, requiring 3 days per week in office, primarily in the New York City and Boston metro areas. Applicants from the Research Triangle, NC, and the San Francisco Bay Area may also be considered. Applicants must reside in these locations or be willing to relocate.

Total compensation: $213,500–$267,000, plus equity, comprehensive benefits, and perks.

Company

Technology and AI-driven pharma company developing platforms and capabilities to make drug development and clinical trials more efficient.

What you will do

• Own the design, delivery, and operation of production software used throughout live clinical trials, from site activation through close-out.
• Build integrations across EDC, CTMS, eTMF, CRO, laboratory, and safety systems to create coherent, queryable trial data.
• Design and ship AI-native agents and pipelines that identify signals, discrepancies, and operational tasks from clinical source data.
• Ensure AI capabilities include provenance tracking, audit trails, traceability, and appropriate human review.
• Partner with Clinical Operations, Data Management, Regulatory, QA, Data Engineering, and Infrastructure on validated production delivery.
• Set technical direction, review designs, mentor engineers, and develop automation and guardrails for safe delivery.

Requirements

• 7+ years of experience building production software, including hands-on experience shipping software for clinical trials.
• Knowledge of clinical systems, clinical data flows, and the operational realities of active trial environments.
• Experience with regulated or controlled software delivery, including GxP/GCP, computer system validation, requirements traceability, audit trails, electronic signatures, and change control.
• Strong software engineering fundamentals, including maintainable code, distributed systems, and cloud platforms such as AWS, GCP, or Azure.
• Daily experience with AI tools, LLMs, agentic workflows, and retrieval pipelines, with interest in applying them responsibly to regulated clinical work.
• Technical ownership of multi-quarter initiatives and the ability to communicate effectively with clinical, QA, regulatory, and engineering stakeholders.

Culture & Benefits

• Hybrid work model centered on key US hiring hubs.
• Equity in addition to base compensation.
• Comprehensive benefits and generous perks.
• Work focused on accelerating access to new medicines through technology and AI.