Sr. Specialist, Technical Product Management
Merck
August 25, 2026
Remote friendly (Cambridge, MA)
United States
IT
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/refine the product backlog and create actionable user stories for preclinical workflows.
- Act as a user expert for scientific users (motivations, pain points, goals).
- Justify and prioritize improvements to existing products to deliver measurable value.
- Maintain technical/domain expertise in drug discovery, cheminformatics, and data-driven research.
- Write problem statements and requirements; facilitate solution design with engineering teams.
- Serve as Product Owner on Agile teams (or partner closely with one).
- Plan and conduct testing; compile training and communication for scientific end-users.
- Analyze data/observations to generate insights for product strategy.
- Support Product Manager strategy execution for one or more data products.
- Accept user stories and ensure acceptance criteria and scientific requirements are met.
- Advocate for scientific stakeholders’ needs.
Qualifications:
Required:
- BS in Life Sciences/Biomedical Engineering/Chemical Engineering/Computer Science or related.
- 2+ years building tools/data assets for scientific or data analytics workflows.
- 3+ years defining data product requirements with scientific users.
- Experience with data analytics/data science in a scientific context.
- Experience building ERDs, logical data models, and source-target mappings.
- Hands-on knowledge of AWS Athena, Glue, S3, Redshift (or similar).
- Proficiency in SQL and scientific data management.
- Translate scientific/business problems into actionable requirements.
- Strong analytical problem-solving.
- Excellent written/verbal communication with technical and scientific stakeholders.
- Ability to work independently and manage multiple complex projects.
Preferred:
- Advanced degree.
- Direct pharmaceutical drug discovery and pre-clinical development experience.
- Cheminformatics domain knowledge; platforms (Pipeline Pilot, RDKit, OpenEye).
- Knowledge of drug discovery endpoints (potency, selectivity, ADMET, lead optimization) and concepts (descriptors, fingerprints, QSAR).
- Experience with ML platforms (SageMaker, DataBricks) and Agile development.
- Familiarity with cloud-based scientific data platforms.
Application:
- Apply via https://jobs.merck.com/us/en. Include application deadline per posting.
- 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/refine the product backlog and create actionable user stories for preclinical workflows.
- Act as a user expert for scientific users (motivations, pain points, goals).
- Justify and prioritize improvements to existing products to deliver measurable value.
- Maintain technical/domain expertise in drug discovery, cheminformatics, and data-driven research.
- Write problem statements and requirements; facilitate solution design with engineering teams.
- Serve as Product Owner on Agile teams (or partner closely with one).
- Plan and conduct testing; compile training and communication for scientific end-users.
- Analyze data/observations to generate insights for product strategy.
- Support Product Manager strategy execution for one or more data products.
- Accept user stories and ensure acceptance criteria and scientific requirements are met.
- Advocate for scientific stakeholders’ needs.
Qualifications:
Required:
- BS in Life Sciences/Biomedical Engineering/Chemical Engineering/Computer Science or related.
- 2+ years building tools/data assets for scientific or data analytics workflows.
- 3+ years defining data product requirements with scientific users.
- Experience with data analytics/data science in a scientific context.
- Experience building ERDs, logical data models, and source-target mappings.
- Hands-on knowledge of AWS Athena, Glue, S3, Redshift (or similar).
- Proficiency in SQL and scientific data management.
- Translate scientific/business problems into actionable requirements.
- Strong analytical problem-solving.
- Excellent written/verbal communication with technical and scientific stakeholders.
- Ability to work independently and manage multiple complex projects.
Preferred:
- Advanced degree.
- Direct pharmaceutical drug discovery and pre-clinical development experience.
- Cheminformatics domain knowledge; platforms (Pipeline Pilot, RDKit, OpenEye).
- Knowledge of drug discovery endpoints (potency, selectivity, ADMET, lead optimization) and concepts (descriptors, fingerprints, QSAR).
- Experience with ML platforms (SageMaker, DataBricks) and Agile development.
- Familiarity with cloud-based scientific data platforms.
Application:
- Apply via https://jobs.merck.com/us/en. Include application deadline per posting.