Senior Manager, Data Engineer, Clinical Operations

Bristol Myers Squibb

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Princeton, NJ
Salary
$153,770–$186,327 / yr
Posted
37 days ago
Freshness
Confirmed live 2 days ago
Closes
Oct 26, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k
This role $170k
$137k most similar roles pay here $247k

This role pays less than 67% of similar roles. Most pay $161,700–$223,750 — the shaded band above. At the midpoint, this role pays about $170k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Bristol Myers Squibb

Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients.

Bristol Myers Squibb currently has 33 open roles on FindRole.

Listed pay typically runs $125,480–$152,049 across 33 roles with salary data.

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View all roles at Bristol Myers Squibb

At a glance

TL;DR · Senior Manager, Data Engineer, Clinical Operations

Senior Manager, Data Engineer, Clinical Operations joins the Global Drug Development team to build robust data ecosystems for patient engagement and feasibility forecasting. This role involves developing and enhancing data solutions to accelerate usage across clinical R&D while ensuring scalability, interoperability, and governance. The position requires building and deploying GenAI-powered and NLP-driven applications to improve trial timelines and compliance. Key responsibilities include managing Databricks Delta Lake, Unity Catalog, and Mosaic AI, alongside implementing ETL/ELT pipelines and semantic modeling for complex datasets. Candidates must be proficient in Python, SQL, Spark, and PySpark, while utilizing RAG, fine-tuning, and vector embeddings to power LLM-based tools. The role addresses the technical challenge of managing clinical trial data assets, requiring expertise in cloud-native platforms and domain knowledge of clinical trial delivery, including site selection and forecasting within a life sciences context.

What you'll do

  • Develop and enhance scalable data solutions to accelerate usage across clinical R&D and ensure interoperability with consumer applications.
  • Optimize the data platform for performance, scalability, and cost-effectiveness using Databricks Delta Lake and cloud-native processing.
  • Use Databricks Unity Catalog to enforce data governance, manage metadata, and ensure end-to-end lineage for clinical trial assets.
  • Build and deploy GenAI and NLP-driven applications to improve efficiency, risk mitigation, and compliance in clinical operations.
  • Develop and operationalize cloud-based LLM applications using RAG, fine-tuning, and vector embeddings for data discovery.
  • Create self-service data discovery solutions to improve the findability and reusability of clinical trial operational data.
  • Provide technical guidance and mentorship to junior analysts and vendor resources on Databricks and engineering best practices.
  • Maintain comprehensive documentation of processes, structures, and knowledge sharing across the enterprise.

What we're looking for

  • Must have 7+ years of cross-domain experience in Data Engineering, Analytics, and AI/ML.
  • Must have hands-on experience implementing and operating data capabilities in a cloud environment.
  • Must possess expertise in Databricks technologies including Delta Lake, Unity Catalog, Workflows, Mosaic AI, and MLflow.
  • Must be proficient in Python, SQL, Spark (including PySpark), and GenAI frameworks.
  • Must have hands-on experience with LLM architectures, RAG, prompt engineering, and agentic frameworks.
  • Must demonstrate expertise in ETL/ELT pipeline design, data modeling, and semantic analytics for large datasets.
  • Must possess strong stakeholder engagement skills to influence and drive adoption of data solutions across teams.
  • Familiarity with clinical trial management systems like Veeva Vault or Medidata Rave is preferred.

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