Assoc. Dir , Product Manager, Disease Biology & PharmTox
About the role
The Research and Development Sciences (RaDS) value team in our company's Research & Development (R&D) Information Technology (IT) brings together product management, engineering, and data science expertise. We enable data, technology, and services that accelerate our scientists’ ability to discover and develop innovative medicines that change the course of human health. In the RaDS value team, the Product organization is responsible for implementing capabilities and associated services to advance the drug discovery and development pipeline. Our IT team operates as a business partner, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver the services and solutions that help everyone to be more productive and enable innovation.
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, 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 and utilize these artifacts to author Product Requirements Document
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; Manage vendor relationships to influence roadmaps and integrate with internal systems and the data lake
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 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
Develop a cohesive strategy to manage an orthogonal suite of products and applications, maximizing impact while reducing costs and redundancy
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, target discovery, or scientific data management
Strong understanding of preclinical development domain and processes
Proven experience leading multidisciplinary squads to launch and manage software products; translate business needs into user stories and product requirements
Experience with scientific 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 data models, ontologies, and information architecture in drug discovery
Proven ability to work independently and asynchronously across time zones, with excellent cross-cultural and organizational communication skills
Highly organized, with strong project and stakeholder management capabilities
Demonstrated ability to operate at both strategic and execution levels, balancing long-term product vision with near-term delivery
Qualifications
Minimum Requirement: M.A./M.S. with 3+ years, or B.A./B.S. with 5+ years of experience in a scientific or technical discipline such as biology, pharmaceutical sciences, bioinformatics, computer science, biostatistics, biomedical engineering, or chemistry
Preferred Experience and Skills: Experience as a scientist, Informatics Analyst or IT analyst in a drug discovery or development environment, specifically pre-clinical development area; Experience using AI-powered product tools (e.g., for backlog refinement, requirements generation, user insights synthesis, prototyping); Familiarity with integrating AI-enabled tools into scientific workflows (e.g., data annotation, AI driven data entry); Ability to define and measure value for AI-driven features (e.g., accuracy, explainability, user trust, adoption); Experience supervising and mentoring team members; Proficiency with data analytics/mining tools (e.g., R, Python); Familiarity with structured, relational databases and data integration; Skill in data visualization and dashboards with the ability to craft compelling data narratives (e.g. PowerBI)
Skills
Asset Management
Benefits Management
Business Translations
Client-Centric
Data Insights
Data Science
Drug Discovery Process
Emerging Technologies
Information Architectures
Job Descriptions
Management System Development
Product Management
Requirements Management
Scientific Data Management
Scientific Software
Scientific Software Development
Stakeholder Relationship Management
Strategic Planning
System Designs
Vendor Management
Benefits
The salary range for this role is $142,400.00 - $224,100.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.