Senior Tech Product Manager, Scientific Data Platforms

HireLifeScience

Rahway (NJ)

Hybrid

USD 128,000 - 173,000

Full time

4 days ago

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Job summary

HireLifeScience seeks a Sr. Specialist in Technical Product Management to bridge scientific needs and data-driven product development.

You will work with analysts, process engineers, and supply planners to shape data products for analytical methods, process development, and clinical/commercial supply. You will collaborate with Product, Data Science, and Engineering to define requirements, manage backlogs, and deliver measurable value through data-enabled scientific workflows.

Qualifications

Bachelor's degree in Life Sciences, Chemistry, Chemical Engineering, Biomedical Engineering, Computer Science, or related field; advanced degree preferred.
2+ years building tools or data assets supporting scientific or data analytics workflows.
3-5 years working with scientific users to define data product requirements.
Experience with data analytics capabilities in a scientific context.
Experience building ERDs, logical data models, and source‑target mappings for scientific data.
Hands-on experience with data management services (AWS Athena, Glue, S3, Redshift, or similar).
Proficiency in SQL and scientific data management.
Ability to translate scientific/business problems into actionable requirements and tasks.
Strong analytical problem‑solving skills.
Excellent written and verbal communication skills, with the ability to engage both technical and scientific stakeholders.
Ability to work independently and manage multiple complex projects simultaneously.

Responsibilities

Collaborate with Product, Data Science, and Engineering teams to define and develop data products tailored for analytical methods, process development, and clinical/commercial supply.
Gather, manage, and prioritize product requirements by engaging with scientific stakeholders to understand user problems, technical constraints, and strategic objectives.
Define and refine the product backlog; create actionable user stories reflecting workflows in method development, process characterization, and supply operations.
Act as a user expert, understanding motivations, pain points, and goals of scientific and supply users.
Justify and prioritize improvements to existing products, delivering measurable value to scientific research, manufacturing, and supply operations.
Develop and maintain domain knowledge in analytical sciences, process development, bioprocessing, and manufacturing/supply processes.
Write clear problem statements and requirements; facilitate solution design with engineering teams.
Serve as Product Owner on Agile teams or work closely with one to ensure scientific and data needs are met.
Plan, design, and conduct testing activities; compile critical training and communication content for end-users.
Analyze data and observations to generate insights informing strategy and decision-making.
Support Product Manager in defining and executing strategy with engineering teams for one or more data products.
Accept completed user stories, ensuring deliverables meet acceptance criteria and scientific requirements.
Act as a customer champion, articulating and advocating for scientific and supply stakeholders.