Technical Product Manager
Merck
June 30, 2026
Remote friendly (West Point, PA)
United States
IT
Responsibilities:
- Collaborate with stakeholders to define business data needs for in silico research and required core capabilities.
- Create and communicate product vision, strategy, and roadmap for emerging data products; provide updates to stakeholders.
- Own execution and delivery timelines; lead cross-functional teams (data scientists, information architects, software engineers, product designers).
- Use Agile (sprint planning, backlog management, performance assessments) and a prototype-driven learn-and-evolve approach.
- Ensure GxP compliance for data usage/dashboarding; advocate FAIR data principles.
- Define outcome-driven data quality and context standards.
- Drive adoption via training, documentation, pilots, and evangelism; collect feedback and iterate; measure adoption metrics and business outcomes.
Qualifications:
Required:
- Bachelor’s in Life Sciences/Biomedical Eng/Chem Eng/CS or related.
- 5+ years in technical product management (biopharma/healthcare).
- Leadership, communication, stakeholder management; simplify complex concepts.
- Prioritization and cross-functional team leadership (conception to execution).
- Understanding of PCC, Safety, PK/PD, and Bioanalytical data.
- Experience with data management, information architecture, cloud (AWS/Azure), automation/monitoring; Agile/product frameworks.
- Familiarity with Databricks/Redshift; FAIR principles; GxP/regulatory standards.
Preferred:
- Advanced degree.
- Discovery biology/PK/PD/toxicology/translational biomarkers/pharma sciences experience.
- Tools: LIMS (Labware), ELN (Benchling), Kafka, Spark, Databricks; lab-in-the-loop/automation/AI-ML.
- Data modeling/governance/analytics platforms (e.g., Power BI, Collibra); translate experimental requirements into regulated data/IT solutions.
Application:
- Apply via https://jobs.merck.com/us/en (deadline listed on the posting).
- Collaborate with stakeholders to define business data needs for in silico research and required core capabilities.
- Create and communicate product vision, strategy, and roadmap for emerging data products; provide updates to stakeholders.
- Own execution and delivery timelines; lead cross-functional teams (data scientists, information architects, software engineers, product designers).
- Use Agile (sprint planning, backlog management, performance assessments) and a prototype-driven learn-and-evolve approach.
- Ensure GxP compliance for data usage/dashboarding; advocate FAIR data principles.
- Define outcome-driven data quality and context standards.
- Drive adoption via training, documentation, pilots, and evangelism; collect feedback and iterate; measure adoption metrics and business outcomes.
Qualifications:
Required:
- Bachelor’s in Life Sciences/Biomedical Eng/Chem Eng/CS or related.
- 5+ years in technical product management (biopharma/healthcare).
- Leadership, communication, stakeholder management; simplify complex concepts.
- Prioritization and cross-functional team leadership (conception to execution).
- Understanding of PCC, Safety, PK/PD, and Bioanalytical data.
- Experience with data management, information architecture, cloud (AWS/Azure), automation/monitoring; Agile/product frameworks.
- Familiarity with Databricks/Redshift; FAIR principles; GxP/regulatory standards.
Preferred:
- Advanced degree.
- Discovery biology/PK/PD/toxicology/translational biomarkers/pharma sciences experience.
- Tools: LIMS (Labware), ELN (Benchling), Kafka, Spark, Databricks; lab-in-the-loop/automation/AI-ML.
- Data modeling/governance/analytics platforms (e.g., Power BI, Collibra); translate experimental requirements into regulated data/IT solutions.
Application:
- Apply via https://jobs.merck.com/us/en (deadline listed on the posting).