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Principal Technical Product Manager, AWS Life Sciences

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon Web Services
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Requirements

Must have:
  • 7+ years of experience as a Technical Product Manager
  • 5+ years of technical experience in software development, network development, IT, or related fields
  • Proven track record of delivering large-scale SaaS, PaaS, or LaaS products with full lifecycle responsibility from concept to market
  • Familiarity with clinical development processes, including evidence generation, data transformation, or clinical operations
  • Solid understanding of clinical trial procedures, regulatory submissions, and clinical data standards (e.g., CDISC, SDTM, ADaM)
  • Advanced degree (MS or PhD) in Biostatistics, Clinical Informatics, Health Informatics, or a related field, or equivalent industry experience (preferred)
  • Experience of successful product launches utilizing ML/AI technologies (preferred)
  • Strong technical skills with the ability to assess emerging technologies and engage in technical discussions regarding clinical data systems and agent-based AI (preferred)
  • Leadership experience in cross-functional teams and collaboration with research scientists, engineers, and business stakeholders (preferred)
  • Ability to articulate complex clinical and regulatory concepts into clear product specifications and user experiences (preferred)

Responsibilities:

  • Spearhead innovative product development for AI-enhanced clinical trials
  • Lead a team of product managers to create and simplify processes for pharmaceutical companies, biotech firms, and clinical operations teams
  • Define novel AI-driven experiences that facilitate the speedy transition from discovery to treatment
  • Promote innovation by rethinking the generation of clinical evidence and management of trial operations
  • Transform fragmented manual routines into intelligent, self-improving systems
  • Establish key product direction, adopt or create new machine learning methodologies, and enhance user workflows and experiences
  • Drive fundamental changes to ensure that life-saving therapies reach patients more efficiently

Company:

We are part of AWS, committed to transforming the life sciences landscape through AI. Our mission is to deliver business applications that utilize Amazons expertise, empowering millions of organizations globally to optimize daily operations. We champion an inclusive workplace, valuing diverse experiences, and encourage all candidates to apply regardless of their background. Our inclusive team culture promotes continuous learning, supporting mentorship and career growth through numerous resources.

Located in Seattle, we offer flexible working arrangements to ensure a balance between work and personal life, along with comprehensive benefits including health coverage, 401(k) matching, and generous paid time off.

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