Scientific Product Owner

Takeda is defining how scientific teams plan, track, and govern research decisions with digital products for Nonclinical Safety and Pharmacology, Drug Discovery Units (DDUs), and Plasma-Derived Therapies (PDT) R&D. As a Scientific Product Owner in Boston (onsite), you will help shape the Research Control Tower and deliver an integrated source of insight that improves transparency, traceability, and oversight across research portfolios and programs.

What you will do

• Own the product strategy and delivery for digital products serving Nonclinical Safety, Pharmacology, DDUs, and PDT R&D, including vision, objectives, roadmap, and prioritized backlog.
• Define and evolve the Research Control Tower strategy as an integrated view of insight across studies, programs, milestones, risks, decisions, and deliverables.
• Align scientific and operational needs with R&D strategy, portfolio needs, scientific objectives, technology architecture, data governance, quality requirements, and regulatory expectations.
• Identify opportunities to simplify processes, reduce manual reporting, minimize duplicate data entry, and improve transparency and data reuse to accelerate research decisions.
• Partner with Nonclinical Safety, Pharmacology, DDU, and PDT R&D leaders and subject-matter experts to translate workflows and unmet needs into clear product requirements and measurable outcomes.
• Support data integration across study and scientific domains, including study data, pathology findings, toxicology results, pharmacology observations, PDT research information, regulatory content, and program milestones.
• Improve end-to-end traceability from research planning and execution through interpretation, reporting, governance, and regulatory support.
• Enable consistent global processes while accommodating valid differences across scientific functions, programs, sites, and regions.
• Build and maintain capabilities across Research and portfolio visibility, study and program tracking, milestone and deliverable management, risk and issue monitoring, dependency tracking, decision logging, and governance and status reporting.
• Define dashboards and user experiences for scientists, study directors, program teams, research leaders, governance forums, and senior leadership.
• Establish metrics for research progress, study execution, resource utilization, turnaround time, quality, risks, dependencies, and delivery confidence.
• Promote interoperability with research, laboratory, document, data, analytics, regulatory, and portfolio systems, ensuring information is trusted, governed, and actionable.
• Apply analytics and automation, including AI/ML and GenAI, responsibly to scientific and operational challenges.
• Lead discovery and ongoing improvement through user research, design thinking, prioritization, iterative delivery, pilots, minimum viable products, releases, adoption activities, and lifecycle management.
• Collaborate with engineering, architecture, data, analytics, UX, quality, validation, and vendor teams to plan releases and sustain product value.
• Define requirements for data integration, metadata, data quality, lineage, access, interoperability, and reporting.
• Address GxP and Non-GxP needs including data integrity, privacy, cybersecurity, validation, auditability, and records management.
• Partner with Quality, Regulatory, Legal, Privacy, and Information Security stakeholders, establishing controls for governed data, role-based access, controlled terminology, and product documentation.

What you bring

• Bachelor’s degree (or equivalent) in biology, pharmacology, toxicology, pathology, veterinary medicine, life sciences, computer science, information systems, business, or related discipline.
• 6+ years of relevant experience in pharmaceutical, biotechnology, life sciences, research technology, scientific operations, product management, or digital transformation.
• Experience supporting one or more areas including nonclinical safety, pharmacology, pathology, toxicology, in vivo research, comparative medicine, discovery research, DDUs, or PDT R&D.
• Proven experience managing digital products from strategy through discovery, delivery, adoption, and continuous improvement.
• Experience with agile product development, roadmaps, backlog management, and release planning.
• Strong capability to translate scientific and business needs into product requirements.
• Excellent communication, facilitation, negotiation, and stakeholder-management skills.
• Experience with global, cross-functional, and virtual teams.
• Understanding of data governance, data quality, security, privacy, and regulated environments.

Preferred qualifications

• Master’s degree, doctoral degree, DVM, or equivalent advanced qualification in a relevant scientific discipline.
• Experience with nonclinical regulatory submissions, regulatory writing, pathology data, toxicology systems, laboratory systems, research data platforms, or control tower solutions.
• Experience supporting Drug Discovery Units or Plasma-Derived Therapies R&D.
• Experience delivering dashboards, data products, analytics, AI/ML, or GenAI solutions.
• Experience with AWS or comparable cloud platforms, data lakes, APIs, and enterprise integration.
• Experience with GxP and Non-GxP product development, validation, inspection readiness, and quality systems.
• Product management, agile, or design-thinking certification.

Technology areas

• AI/ML
• GenAI
• AWS

Compensation and benefits

Boston, MA onsite

• U.S. base salary range: $137,000.00 - $215,270.00 per year
• Estimated range may vary based on qualifications, years of relevant experience, unique skills, education, certifications or licenses, and the location where work is performed
• Actual base salary will follow applicable state or local minimum wage requirements for the job location
• For information about benefits, please click here.

Takeda is proud of its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants, without regard to protected characteristics under applicable law.

Employment type: Employee, Regular, Full time (Exempt)