Product Manager/Associate Director – Disease Biology and PharmTox Product Line, Multimodal Integration and Biomarker Discovery

MSD

. Set, own, and communicate product vision, strategy, and outcome-based roadmaps for Disease Biology and PharmTox digital capabilities .

Posted 9/18/2026full-timeCambridge • New Jersey • United StatesSenior💰 $142,400 - $224,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing product vision and strategy for scientific applications, with a strong focus on early target discovery and preclinical development. Proficient in Agile practices, stakeholder management, and translating complex scientific needs into actionable product requirements.

Highest-signal resume keywords

Scientific Software DevelopmentPreclinical DevelopmentAgile PracticesStakeholder ManagementData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Target DiscoveryScientific WorkflowsSDLCData ModelsOntologiesRPythonData IntegrationDashboard SkillsAI-Enabled Scientific Workflows

Soft Skills

Exceptional CommunicationProject ManagementTeam LeadershipCustomer-Centered PracticesIndependent Work

Tools & Technologies

JiraConfluenceMuralFigmaBalsamiqPower BI

Industry Keywords

GxP-Regulated EnvironmentsDrug DiscoveryPharmaceutical SciencesScientific Data ManagementMultidisciplinary Squads

Tech Stack

Tools & technologies

PythonSDLC

About the role

Key responsibilities & impact

Set, own, and communicate product vision, strategy, and outcome-based roadmaps for Disease Biology and PharmTox digital capabilities
Define and prioritize roadmaps for multimodal profiling across disease biology and preclinical research
Manage product investments and contribute to business cases, including value, resources, risks, dependencies, and total cost of ownership
Develop a cohesive strategy for a suite of scientific products and applications
Align priorities across scientists, data scientists, lab operations, technology teams, and business leaders
Collaborate across Lab Operations and Data & Analytics product lines on end-to-end multi-omics, preclinical, and imaging workflows
Understand user needs through interviews, shadowing, and usage analytics
Map processes and information architecture to identify pain points and automation opportunities
Translate scientific and business needs into problem statements, requirements, user stories, acceptance criteria, success measures, and product requirements documents
Drive solution discovery and rapid prototyping
Prioritize features and trade-offs; manage backlogs and release planning
Manage a portfolio of scientific applications and lead squads
Evaluate tools, manage vendors, influence roadmaps, and integrate solutions with internal systems and the data lake
Partner with product technology and engineering leads on ecosystem integration
Apply industry standards and ontologies to develop FAIR applications and advance AI/ML approaches for drug discovery
Create and maintain SDLC documentation, guidelines, SOPs, training materials, and user communications
Support regulatory audits and inspections
Drive adoption through metrics, user feedback, reports, visualizations, and user groups
Promote capabilities and collaboration across teams
Monitor competitive landscapes, standards, and emerging technologies
Coach teams in customer-centered product practices and remove roadblocks

Requirements

What you’ll need

5+ years of experience in scientific software development, pharmaceutical sciences, target discovery, or scientific data management
Strong understanding of early target discovery and preclinical development domain and processes
Proven experience leading multidisciplinary squads to launch and manage software products
Experience translating business needs into user stories and product requirements
Experience with scientific workflows, including COTS, in-house, and open-source solutions
Solid grasp of SDLC and Agile practices
Comfortable operating in GxP-regulated environments
Exceptional communication across science, engineering, and business in a matrixed organization
Proficient with Jira, Confluence, Mural, Figma, and Balsamiq
Working knowledge of data models, ontologies, and information architecture in drug discovery
Ability to work independently and asynchronously across time zones
Strong project and stakeholder management capabilities
Ability to operate at strategic and execution levels
M.A./M.S. with 3+ years, or B.A./B.S. with 5+ years of experience in a scientific or technical discipline
Preferred: experience as a scientist, Informatics Analyst, Imaging Analyst, or IT Analyst in drug discovery or development
Preferred: experience with AI-powered product tools and AI-enabled scientific workflows
Preferred: experience defining and measuring value for AI-driven features
Preferred: experience supervising and mentoring team members
Preferred: proficiency with R and Python
Preferred: familiarity with structured relational databases and data integration
Preferred: data visualization and dashboard skills, such as Power BI
Preferred: experience in Agile development environments
No visa sponsorship

Benefits

Comp & perks

Annual bonus eligibility
Long-term incentive eligibility, if applicable
Medical, dental, and vision healthcare
Other insurance benefits for employee and family
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate days
Sick days
10% travel