Sr. Product Manager/ PhD

Role Summary

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.

Technical Product Management

• 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.

Regulatory, Quality, and Launch Support

• 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.

Reporting, Process Improvement, and AI-Enabled Efficiency

• 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.

Required Qualifications

• 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.

Tools and Systems

• 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.