Associate Director Solutions Partner, Scientific Data Product Owner

Regeneron

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Tarrytown, NY
Salary
$157,200–$256,600 / yr
Posted
24 days ago
Freshness
Confirmed live yesterday
Closes
Nov 30, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k
This role $207k
$144k most similar roles pay here $282k

This role pays less than 59% of similar roles. Most pay $177,918–$262,600 — the shaded band above. At the midpoint, this role pays about $207k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About Regeneron

Regeneron is a leading science-driven biotechnology company that invents, develops, and commercializes life-transforming medicines for serious diseases.

Regeneron currently has 18 open roles on FindRole.

Listed pay typically runs $141,100–$243,350 across 18 roles with salary data.

Most-posted roles

View all roles at Regeneron

At a glance

TL;DR · Associate Director Solutions Partner, Scientific Data Product Owner

Associate Director Solutions Partner (Scientific Data Product Owner) leads the holistic data strategy for modeling, connecting, and managing research and preclinical development scientific data within an enterprise data lake. This role sits at the intersection of science, data engineering, and product management to transform siloed transactional records from lab informatics systems into well-modeled, reusable data products. The individual will own the roadmap and backlog for these products while partnering with data engineering teams to define ETL/ELT pipelines and with data scientists to provide analytics-ready datasets for AI initiatives. Key requirements include a strong scientific background in fields like biology or chemistry, proficiency in SQL and Databricks languages such as Python or PySpark, and experience with knowledge graphs, ontologies, and FAIR principles. The role solves the challenge of making complex scientific data discoverable and actionable at scale.

What you'll do

  • Define and lead the holistic data strategy for modeling and managing connected scientific data within the enterprise data lake.
  • Partner with data engineering teams to design and shape ingestion, transformation, and integration pipelines for lab informatics systems.
  • Own the product vision, roadmap, and backlog for scientific data products based on scientific value and organizational impact.
  • Design and govern data models that capture relationships across various scientific entities like compounds, samples, and experiments.
  • Translate requirements from scientific, technical, and analytics stakeholders into clear data product specifications and delivery plans.
  • Ensure data products meet quality, access, and FAIR principles to support downstream reporting and AI/ML initiatives.
  • Champion the use of AI-driven approaches for searching and discovering structured scientific data.
  • Act as the primary advocate for scientific data products by gathering feedback and improving usability and coverage.

What we're looking for

  • Advanced degree in a biology discipline required; PhD in molecular biology, biochemistry, genetics, or immunology preferred.
  • 10+ years of experience managing scientific laboratory data within the biopharmaceutical or life sciences industry.
  • Strong scientific background in fields such as chemistry, biology, molecular biology, biochemistry, immunology, or pharmacology.
  • Hands-on experience with data modeling and connecting data across multiple source systems.
  • Working knowledge of data engineering concepts including pipelines, ETL/ELT, and data transformation.
  • Proficiency in SQL and a primary Databricks language such as Python or PySpark.
  • Experience in product ownership or management, including roadmap definition and backlog prioritization.
  • Familiarity with transactional lab informatics systems like ELN, LIMS, and analytical data platforms.

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