Hybrid Product Manager, Translational Research – Systems Biology, Disease Biology – PharmTox Product Line

at MSD

• Job title: Product Manager, Translational Research – Systems Biology, Disease Biology – PharmTox Product Line
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $139,600 - $219,700 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Open Source, SDLC
• Location requirements: Hybrid, Rahway, United States

About the role

• Product Manager integrating R&D sciences with IT solutions to support innovative drug discovery. Collaborating with scientists and stakeholders to create effective tools in pharmaceutical research.

Responsibilities

• Partner closely with R&D scientists and Business Technology Partners to own, set, and communicate the product vision, strategy, and outcome roadmap, aligned with strategic priorities.
• Deeply understand user needs (scientists, bioinformaticians, data scientists, lab operations) through interviews, shadowing, and usage analytics.
• Map processes and information architecture to identify pain points and automation opportunities.
• Define clear problem statements, requirements, and success metrics; author Product requirements document, user stories, and acceptance criteria
• Drive solution discovery and rapid prototyping with cross-functional teams to evaluate value, usability, feasibility, and business viability.
• Prioritize features and trade-offs using impact, effort, and risk frameworks; manage backlog and release planning
• Manage scientific applications and lead squads to build user-friendly scientific data and technology products; handle risk assessment and vendor engagement as needed.
• Evaluate internal and external tools (e.g., predictive modeling, simulation, target discovery, biomarker tracking); Manage vendor relationships to influence roadmaps and integrate with internal systems and the data lake.
• Partner with product tech leads to ensure seamless integration across the ecosystem and upstream/downstream systems.
• Apply industry standards and ontologies to develop FAIR (Findable, Accessible, Interoperable, Reusable) applications, advancing in silico models and AI/ML approaches for drug discovery.
• Create and maintain documentation including SDLC deliverables (GxP and non-GxP), guidelines, SOPs, training materials, and user communications.
• Support regulatory audits and inspections by collaborating with stakeholders and Quality units to provide documentation and respond to inquiries.
• Coach teams to adopt a customer-centered product mindset; proactively remove roadblocks and escalate issues to maintain momentum.
• Drive adoption using metrics and user feedback; analyze engagement, create reports/visualizations, and run user groups to inform continuous improvement.
• Promote available capabilities to stakeholders, fostering collaboration and integration across teams to avoid silos.
• Develop a cohesive strategy to manage an orthogonal suite of products and applications, maximizing impact while reducing costs and redundancy.
• Diligently manage total cost of ownership
• Monitor the competitive landscape, standards, and emerging technologies in scientific software and data platforms.
• Use data-driven insights (synthesized from research, observations, and usage) to inform decisions and refine strategy.

Requirements

• 5+ years of experience in scientific software development, pharmaceutical sciences, bioinformatics, target discovery, quantitative systems pharmacology, model-based drug development (MBDD), or scientific data management
• Proven experience leading cross-functional teams to launch and manage software products; define user stories and ensure product development aligns with business requirements.
• Good understanding of MBDD, Pharmacokinetic/Pharmacodynamic modeling and pre-clinical development domain and processes.
• Familiarity with bioinformatics pathway analysis tools and systems biology approaches used in scientific software.
• Experience with scientific modeling tools and workflows (COTS, in-house, open source); ability to assess, integrate, and scale them
• Solid grasp of SDLC and Agile practices; comfortable operating in GxP-regulated environments
• Exceptional communicator who bridges science, engineering, and business; customer-centric and effective in a matrixed organization
• Proficient with product and UX tooling (e.g., Jira, Confluence, Mural, Figma, Balsamiq); capable of producing clear documentation and visuals
• Working knowledge of databases, ontologies, and data standards relevant to drug discovery; familiarity with information modeling (e.g., Visio)
• Proven ability to work independently and asynchronously across time zones, with excellent cross-cultural and organizational communication skills.
• Highly organized, detail-oriented, and strong in time and project management; excellent written and verbal communication
• Experience leading multidisciplinary squads to develop and onboard scientific applications and tools.

Benefits

• medical, dental, vision healthcare and other insurance benefits (for employee and family)
• retirement benefits, including 401(k)
• paid holidays
• vacation
• compassionate and sick days