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Sr. Product Manager/PhD
Job in
Hayward, Alameda County, California, 94557, USA
Listed on 2026-09-14
Listing for:
Sansure Biotech Inc.
Full Time
position Listed on 2026-09-14
Job specializations:
-
Business
Product Manager
Job Description & How to Apply Below
The Sr. Product Manager / Product Director, PhD leads U.S. product strategy and execution for molecular diagnostics and related assay portfolios. This role connects customers, KOLs, commercial teams, operations, QA/RA, manufacturing, supply chain, and group R&D to translate market needs into clear product requirements, launch plans, and lifecycle actions.
This is a hands-on leadership role requiring strong scientific judgment, product ownership, cross-functional execution, and clear communication with both technical and business stakeholders.
Key Responsibilities Product Strategy and Portfolio Leadership- Define U.S. product strategy, roadmap priorities, and portfolio direction for molecular diagnostics and related product lines.
- Translate customer needs, workflow requirements, market trends, and competitive insights into practical product requirements.
- Manage product lifecycle activities, including new product introduction, upgrades, localization, and phase-out planning.
- Support OEM, customized, and localized product opportunities for customers, partners, distributors, or group-level business needs.
- Serve as the key product interface between Lusis and group R&D, ensuring product requirements, technical updates, timelines, and priorities are aligned.
- Coordinate with R&D, supply chain, manufacturing, operations, commercial, and customer-facing teams to move product projects forward.
- Track milestones, risks, action items, blockers, and follow-ups to support timely execution and leadership visibility.
- Provide product input across molecular diagnostic workflows, including specimen collection, pretreatment, extraction, amplification, interpretation, and reporting.
- Work with scientific and technical teams on panel design, performance targets, cutoff logic, usability, acceptance criteria, and product transfer readiness.
- Identify product risks, usability gaps, workflow issues, sample matrix challenges, and technical questions, and coordinate appropriate resolution.
- Ensure product decisions support scientific integrity, manufacturability, regulatory readiness, customer usability, and scalable commercialization.
- Train internal teams on product positioning, technical fundamentals, workflow considerations, and customer-facing talking points.
- Build a structured feedback loop among customers, commercial teams, technical teams, and group R&D to improve product fit and performance.
- Identify recurring communication, documentation, workflow, and execution gaps, and recommend practical improvements.
- Use AI tools to improve productivity, including summarizing customer feedback, drafting product documents, organizing project notes, preparing reports, and improving internal documentation.
- Review AI-generated content carefully for accuracy, confidentiality, compliance, scientific appropriateness, and professionalism before use.
- PhD in molecular biology, biology, biomedical science, clinical medicine, microbiology, biomedical engineering, life sciences, or a related field.
- 3-5 years of experience in life sciences, molecular diagnostics, IVD, LDT, biotechnology, or a related technical product environment;
- Strong understanding of PCR, qPCR, NGS, nucleic acid testing, assay workflows, and clinical or laboratory operations.
- Experience translating customer, market, and technical needs into product requirements, project plans, and launch materials.
- Strong cross-functional leadership, project execution, problem-solving, documentation, and follow-up skills.
- Experience supporting U.S. customer communication, partner collaboration, KOL engagement, product localization, or commercial launch activities.
- Microsoft Office, Microsoft 365, Google Workspace, or similar productivity tools.
- Product requirement, project management, documentation, or collaboration tools such as Jira, Confluence, SharePoint, Teams, or similar platforms.
- AI tools such as ChatGPT, Microsoft Copilot, or similar platforms for productivity, documentation, analysis, and workflow support.
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