Sr. Specialist, Technical Product Management
Merck
August 25, 2026
Remote friendly (Rahway, NJ)
United States
Marketing
Responsibilities:
- Collaborate with Product, Data Science, and Engineering to define and develop data products for drug discovery and preclinical research.
- Gather, manage, and prioritize product requirements with scientific stakeholders.
- Define and refine the product backlog; create user stories for preclinical workflows.
- Act as a user expert for scientific motivations, pain points, and goals.
- Justify and prioritize improvements to existing products to deliver measurable value.
- Develop/maintain domain expertise in drug discovery, cheminformatics, and data-driven research.
- Write problem statements and requirements; facilitate solution design with engineering.
- Serve as Product Owner on Agile teams to ensure scientific and data needs are met.
- Plan/design/conduct testing; compile training and communication for scientific end-users.
- Analyze research data and observations to generate insights for product strategy.
- Support the Product Manager with strategy execution for one or more data products.
- Accept user stories based on acceptance criteria and scientific requirements.
- Champion scientific stakeholder needs.
Qualifications:
Required:
- Bachelor’s degree in Life Sciences, Biomedical Engineering, Chemical Engineering, Computer Science, or related field.
- 2+ years building tools/data assets for scientific or data analytics workflows.
- 3+ years defining data product requirements with scientific users (e.g., chemists).
- Experience in data analytics/data science in a scientific context.
- Experience building ERDs/logical data models and source-target mappings.
- Hands-on/working knowledge of AWS data tools (Athena, Glue, S3, Redshift, or similar).
- Proficiency in SQL and scientific data management.
- Ability to translate problems into actionable requirements.
- Strong analytical problem-solving and communication with technical/scientific stakeholders.
- Ability to work independently and manage multiple complex projects.
Preferred:
- Advanced degree; direct pharma drug discovery/preclinical development experience.
- Cheminformatics/lab workflow knowledge; platforms like Pipeline Pilot, RDKit, OpenEye.
- Familiarity with drug discovery endpoints (potency/selectivity/ADMET/lead optimization).
- Knowledge of descriptors, fingerprints, QSAR, chemical databases.
- Experience with ML platforms (e.g., Sagemaker, Databricks), Agile, and cloud scientific data platforms.
Application instructions:
- Apply via https://jobs.merck.com/us/en (or Workday Jobs Hub for current employees).
- Collaborate with Product, Data Science, and Engineering to define and develop data products for drug discovery and preclinical research.
- Gather, manage, and prioritize product requirements with scientific stakeholders.
- Define and refine the product backlog; create user stories for preclinical workflows.
- Act as a user expert for scientific motivations, pain points, and goals.
- Justify and prioritize improvements to existing products to deliver measurable value.
- Develop/maintain domain expertise in drug discovery, cheminformatics, and data-driven research.
- Write problem statements and requirements; facilitate solution design with engineering.
- Serve as Product Owner on Agile teams to ensure scientific and data needs are met.
- Plan/design/conduct testing; compile training and communication for scientific end-users.
- Analyze research data and observations to generate insights for product strategy.
- Support the Product Manager with strategy execution for one or more data products.
- Accept user stories based on acceptance criteria and scientific requirements.
- Champion scientific stakeholder needs.
Qualifications:
Required:
- Bachelor’s degree in Life Sciences, Biomedical Engineering, Chemical Engineering, Computer Science, or related field.
- 2+ years building tools/data assets for scientific or data analytics workflows.
- 3+ years defining data product requirements with scientific users (e.g., chemists).
- Experience in data analytics/data science in a scientific context.
- Experience building ERDs/logical data models and source-target mappings.
- Hands-on/working knowledge of AWS data tools (Athena, Glue, S3, Redshift, or similar).
- Proficiency in SQL and scientific data management.
- Ability to translate problems into actionable requirements.
- Strong analytical problem-solving and communication with technical/scientific stakeholders.
- Ability to work independently and manage multiple complex projects.
Preferred:
- Advanced degree; direct pharma drug discovery/preclinical development experience.
- Cheminformatics/lab workflow knowledge; platforms like Pipeline Pilot, RDKit, OpenEye.
- Familiarity with drug discovery endpoints (potency/selectivity/ADMET/lead optimization).
- Knowledge of descriptors, fingerprints, QSAR, chemical databases.
- Experience with ML platforms (e.g., Sagemaker, Databricks), Agile, and cloud scientific data platforms.
Application instructions:
- Apply via https://jobs.merck.com/us/en (or Workday Jobs Hub for current employees).