Senior Specialist, Data Engineer for Upstream Biologics

MSD

Remote Hybrid

Quick summary

Work type
Remote
Location
West Point, PARahway, NJBoston, MA
Salary
$117,000–$184,200 / yr
Posted
2 days ago
Closes
Jul 9, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $178k
This role $151k
$105k most similar roles pay here $233k

This role pays less than 70% of similar roles. Most pay $144,650–$211,650 — the shaded band above. At the midpoint, this role pays about $151k versus about $178k 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 · Senior Specialist, Data Engineer for Upstream Biologics

The Senior Specialist, Data Engineer role is part of the Digital Insights team within the Development Sciences and Clinical Supply (DSCS) Digital Technologies organization at a global biopharmaceutical leader. This position involves designing and maintaining data pipelines that capture experimental and process data from upstream biologics teams for analysis-ready datasets to support digital initiatives such as process characterization models, scale-up predictions, and multivariate analytics. The engineer will work on ontology alignment, integrate new data streams, develop visualizations, and collaborate with scientists and engineers to ensure seamless data handoffs and continuous improvement of data capture practices. Key technologies include Python/R programming, SQL, ETL processes, Databricks, and various data visualization tools. The role requires a strong background in computer science or related fields, experience in pharmaceutical contexts, and proficiency in version control systems like Git/GitHub.

What you'll do

  • Build and maintain scalable data pipelines for experimental and process data.
  • Deliver analysis-ready datasets to support digital initiatives in biologics manufacturing.
  • Map instrument outputs to ensure ontology alignment across upstream data sources.
  • Develop and maintain data visualizations and dashboards for scientists.
  • Identify and address data quality issues, contributing to continuous improvement practices.
  • Collaborate with scientists to translate evolving data needs into pipeline requirements.

What we're looking for

  • Ph.D. or M.S. in a relevant scientific field with 2+ years of industrial experience
  • Proficient in Python/R and SQL for data analysis and database management
  • Experience building ETL pipelines in pharmaceutical/biologics contexts
  • Familiarity with version control systems like Git/GitHub and collaborative development practices
  • Knowledge of upstream biologics unit operations, including cell culture and bioreactor processes
  • Experience with Databricks and data visualization tools for scientist-facing dashboards
  • Understanding of ontology frameworks and standardized data models for interoperability

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