Senior Technical Product Manager - Scientific Data (Hybrid)

HireLifeScience; Upper Gwynedd Township (Montgomery County); Hybrid; USD 117,000 - 184,000; Full time

Benefits offered by this job

Annual bonus

Long-term incentive

Medical insurance

Job summary

HireLifeScience is seeking a Sr. Specialist in Technical Product Management with deep expertise in analytical method development, CMC, and clinical supply processes.

You will bridge scientific needs with data-driven product development, partnering with Product, Data Science, and Engineering teams to build tailored data products for analytical methods, process development, and supply operations. You will gather requirements from Analytical Scientists, Process Chemists/Engineers, and Clinical

Qualifications

• Bachelor's degree in Life Sciences or related field.
• 2+ years building tools or data assets for scientific workflows.
• 3-5 years working with scientific users to define data product requirements.
• Experience with data analytics in a scientific context.

Responsibilities

• Collaborate with Product, Data Science and Engineering to define data products for analytical methods and clinical supply.
• Gather and prioritize requirements from scientific stakeholders and translate them into user stories.
• Maintain the product backlog and ensure alignment with scientific workflows.
• Act as user expert for analytical scientists and supply planners.
• Prioritize improvements delivering measurable value to research, manufacturing and supply.
• Develop domain knowledge in analytical sciences and bioprocessing.

Skills

Asset Management

Backlog Management

Product Management

Requirements Management

Data Analysis

SQL

Stakeholder Management

Data Modeling

Education

Bachelor's degree in Life Sciences/Chemistry/Engineering/CS

Tools

AWS Athena

AWS Glue

Amazon S3

Redshift

Job description

HireLifeScience is seeking a Sr. Specialist in Technical Product Management with deep expertise in analytical method development, CMC, and clinical supply processes.

You will bridge scientific needs with data-driven product development, partnering with Product, Data Science, and Engineering teams to build tailored data products for analytical methods, process development, and supply operations. You will gather requirements from Analytical Scientists, Process Chemists/Engineers, and Clinical