Assoc. Dir , Product Manager, Disease Biology & PharmTox

Product Manager – Research & Development Sciences (RaDS) Value Team Join the RaDS value team where you will partner with scientists, data scientists, engineering, and business technology teams to design and deliver high‑impact digital solutions for preclinical research and drug discovery. Primary 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; author Product Requirements Documents. 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. Partner with Product Tech leads and Engineering 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 to provide documentation and respond to inquiries. Coach teams to adopt a customer‑centered product mindset; proactively remove roadblocks and raise issues to maintain momentum. Drive adoption using metrics and user feedback; analyze engagement, create reports, 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 to inform decisions and refine strategy. Required Qualifications 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; translating 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 (Jira, Confluence, Mural, Figma, Balsamiq); capable of producing clear documentation and visuals. Working knowledge of data models, ontologies, and information architecture in drug discovery. Excellent cross‑cultural and organizational communication skills; ability to work independently and asynchronously across time zones. 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. Education Minimum: M.A./M.S. with 3+ years of experience, 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. 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 (data annotation, AI‑driven data entry). Ability to define and measure value for AI‑driven features (accuracy, explainability, user trust, adoption). Experience supervising and mentoring team members. Proficiency with data analytics/mining tools (R, Python). Familiarity with structured, relational databases and data integration. Skill in data visualization and dashboards; ability to craft compelling data narratives (e.g., PowerBI). Experience working in Agile development environments. Compensation and Benefits Salary range: $142,400.00 – $224,100.00. Eligible for annual bonus and long‑term incentive, if applicable. Benefits include medical, dental, vision, insurance, 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at Equal Opportunity Employer As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. We comply with all affirmative action requirements for protected veterans and individuals with disabilities. #J-18808-Ljbffr MSD Malaysia