Engineering Manager Life Science

Key Responsibilities:

Technical Leadership & Strategy

• Architect and drive the development of scalable, cloud-native applications supporting healthcare workflows while ensuring compliance, security, and safe handling of sensitive clinical data.
• Champion best practices in CI/CD, automated testing, observability, and DevOps.

Team Management & Culture

• Lead an engineering squad focused on advancing clinical and diagnostic solutions that measurably improve health outcomes.
• Hire, mentor, and grow engineers into strong individual contributors and future leaders while fostering a culture of ownership, collaboration, patient impact, and engineering excellence.

Platform Engineering & Interoperability

• Lead development of AI orchestration pipelines, structured reporting tools, clinician-facing dashboards, and supporting APIs, SDKs, and internal tools for rapid prototyping and deployment.
• Ensure platform readiness across on-prem, hybrid, and cloud-first deployments (AWS, Outposts).
• Lead integration with EMRs, PACS, LIS/LIMS, and healthcare IT standards (HL7, FHIR).

Required Skills & Qualifications:

Technical Expertise

• 8–12 years of software engineering experience (backend/full-stack), including 2–3 years in engineering management in regulated environments (healthcare, pharma, diagnostics preferred).
• Hands-on experience in Full Stack or Backend development with React, Python, and RESTful APIs.
• Strong expertise in building cloud-native applications in containerized environments (Docker, AWS preferred).

Domain Understanding

• 4+ years of experience in life sciences, clinical systems, or diagnostics (oncology preferred).
• Exposure to RIS, PACS, EMR/EHR, MDT systems.
• Understanding of healthcare compliance frameworks (HIPAA, ISO, MDR), with bonus experience on FDA/CE-marked medical software or SaMD.

Leadership & Communication

• Proven ability to lead distributed teams in fast-paced, highly regulated environments.
• Excellent stakeholder management and communication skills.
• Strong decision-making ability balancing clinical needs, technical complexity, and product vision.