Associate Director, Data Engineer, Digital Data Strategy

MSD

Remote Hybrid

Quick summary

Work type
Remote
Location
West Point, PARahway, NJBoston, MA
Salary
$129,000–$203,100 / yr
Posted
2 days ago
Closes
Jul 9, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $166k
$118k most similar roles pay here $234k

This role pays less than 59% of similar roles. Most pay $139,500–$222,647 — the shaded band above. At the midpoint, this role pays about $166k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About MSD

MSD (Merck Sharp & Dohme) is the international name for Merck & Co., a major U.S.-based pharmaceutical company.

MSD currently has 26 open roles on FindRole.

Listed pay typically runs $142,400–$224,100 across 25 roles with salary data.

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View all roles at MSD

At a glance

TL;DR · Associate Director, Data Engineer, Digital Data Strategy

Role Posting Log in to save

The Associate Director, Data Engineer role is a senior position within the Digital Insights team at Development Sciences and Clinical Supply (DSCS) Digital Technologies organization. This individual will lead data engineering efforts in biologics, designing and building scalable data pipelines that capture experimental and process data from various sources such as chromatography systems and electronic lab notebooks to support digital initiatives like multivariate analytics and data lineage tracking. Key responsibilities include defining data standards, aligning with automation teams for new data streams, and developing visualizations for scientists. The role requires proficiency in Python or R, SQL, cloud platforms, and experience with ETL processes, along with a background in biologics process development and knowledge of regulatory expectations. This position aims to drive the digital transformation of DSCS by embedding advanced data technologies into its operations.

Skills

Python R SQL AWS Azure GCP ETL Databricks Git GitHub Streamlit Shiny PowerBI Spotfire Tableau Allotrope Simple Model ISA-88 OPC-UA ICH Q8-Q12

What you'll do

  • Serve as domain owner for biologics data engineering, maintaining awareness of all digital projects and data flows.
  • Design and implement scalable data pipelines to ingest experimental and process data from various sources.
  • Deliver analysis-ready datasets to support digital initiatives such as process characterization models and multivariate analytics.
  • Define and enforce data standards and ontology mappings to ensure interoperability across biologics data sources.
  • Catalog all processes, analytical methods, instruments, and systems within the biologics domain for comprehensive data mapping.

What we're looking for

  • Ph.D. or M.S. in a relevant field with 3+ years of industrial/pharmaceutical experience.
  • Proficient in Python/R, SQL, and cloud platforms (AWS/Azure/GCP).
  • Experience with ETL processes and building data pipelines for scientific/pharmaceutical contexts.
  • Familiarity with ontology frameworks and version control systems like Git/GitHub.
  • Ability to lead technical initiatives, mentor junior engineers, and influence data strategy.

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