Technical Product Manager
Merck
June 30, 2026
Remote friendly (Rahway, NJ)
United States
IT
Responsibilities:
- Collaborate with stakeholders to understand business data needs for in silico research and define core capabilities.
- Develop and communicate product vision, strategy, and roadmap for emerging data products.
- Serve as primary point of contact for product vision/strategy/roadmap updates.
- Own execution and delivery timelines for emerging data products.
- Create and lead cross-functional teams (data scientists, information architects, software engineers, product designers).
- Apply Agile methodologies (sprint planning, backlog management, performance assessments).
- Use a prototype-driven, learn-and-evolve approach to validate capabilities and de-risk investments.
- Ensure compliance with GxP and audit requirements for data usage and dashboarding.
- Advocate for FAIR data principles; promote outcome-driven data quality and context standards.
- Drive adoption via training, documentation, pilots, and evangelism; collect feedback and iterate.
- Measure and report adoption metrics and business outcomes.
Qualifications:
- Bachelor’s degree in Life Sciences, Biomedical Engineering, Chemical Engineering, Computer Science, or related field.
- 5+ years of technical product management experience in biopharma/healthcare.
- Leadership, communication, and stakeholder management skills; ability to explain complex concepts.
- Prioritize competing demands; drive cross-functional teams; develop product strategy to execution.
- Demonstrated understanding of PCC, Safety, PK/PD, and Bioanalytical data.
- Experience with data management, information architecture, cloud/compute (AWS/Azure), automation/monitoring; Agile/product management frameworks.
- Familiarity with Databricks and Redshift; FAIR principles; GxP/regulatory data 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, lab automation, AI/ML.
- Data modeling, governance, analytics platforms (e.g., Power BI, Collibra).
- Translating experimental requirements into data/IT solutions and shipping in regulated environments.
Application:
- Apply via https://jobs.merck.com/us/en. (Deadline stated on posting.)
- Collaborate with stakeholders to understand business data needs for in silico research and define core capabilities.
- Develop and communicate product vision, strategy, and roadmap for emerging data products.
- Serve as primary point of contact for product vision/strategy/roadmap updates.
- Own execution and delivery timelines for emerging data products.
- Create and lead cross-functional teams (data scientists, information architects, software engineers, product designers).
- Apply Agile methodologies (sprint planning, backlog management, performance assessments).
- Use a prototype-driven, learn-and-evolve approach to validate capabilities and de-risk investments.
- Ensure compliance with GxP and audit requirements for data usage and dashboarding.
- Advocate for FAIR data principles; promote outcome-driven data quality and context standards.
- Drive adoption via training, documentation, pilots, and evangelism; collect feedback and iterate.
- Measure and report adoption metrics and business outcomes.
Qualifications:
- Bachelor’s degree in Life Sciences, Biomedical Engineering, Chemical Engineering, Computer Science, or related field.
- 5+ years of technical product management experience in biopharma/healthcare.
- Leadership, communication, and stakeholder management skills; ability to explain complex concepts.
- Prioritize competing demands; drive cross-functional teams; develop product strategy to execution.
- Demonstrated understanding of PCC, Safety, PK/PD, and Bioanalytical data.
- Experience with data management, information architecture, cloud/compute (AWS/Azure), automation/monitoring; Agile/product management frameworks.
- Familiarity with Databricks and Redshift; FAIR principles; GxP/regulatory data 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, lab automation, AI/ML.
- Data modeling, governance, analytics platforms (e.g., Power BI, Collibra).
- Translating experimental requirements into data/IT solutions and shipping in regulated environments.
Application:
- Apply via https://jobs.merck.com/us/en. (Deadline stated on posting.)