Senior Manager, Research Intelligence Engineer

Bristol Myers Squibb

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Princeton, NJTampa, FLSan Diego, CACambridge Crossing, MA
Salary
$148,480–$179,920 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today
Closes
Nov 16, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $213k
This role $164k
$136k $261k
below market most similar roles pay here above market

This role pays less than 84% of similar roles. Most pay $179,100–$246,150 — the blue band above. At the midpoint, this role pays about $164k versus about $213k 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 39 open roles on FindRole.

Listed pay typically runs $137,530–$170,827 across 32 roles with salary data.

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View all roles at Bristol Myers Squibb

At a glance

TL;DR · Senior Manager, Research Intelligence Engineer

The Senior Manager, Research Intelligence Engineer joins the Molecular Invention Data team within R&D Data & Analytical Platforms. This role combines research domain analysis, data engineering, and applied AI to design and deliver intelligence products that improve discovery portfolio management and scientific decision-making. You will translate complex research questions into scalable data, tooling, and agentic solutions by partnering with scientists and stakeholders. Key responsibilities include designing and productionizing generative AI capabilities, engineering data services, and managing value workstreams. You will utilize Databricks, Python, SQL, APIs, and cloud data platforms while applying software engineering practices like CI/CD and version control. The role solves the challenge of transforming ambiguous scientific workflows into reliable, automated, and observable research intelligence capabilities within a complex pharmaceutical R&D environment.

What you'll do

  • Translate complex research questions and workflows into scalable data, tooling, and agentic solutions.
  • Design, prototype, and productionize agentic and generative AI capabilities to support research portfolio management.
  • Build AI-enabled workflows that integrate enterprise data, domain context, retrieval tools, and APIs.
  • Engineer and integrate data services, semantic context, and metadata using Databricks.
  • Apply software engineering practices including modular design, version control, automated testing, and CI/CD.
  • Lead the technical design and delivery of reusable research intelligence capabilities across the R&D domain.
  • Define success measures and roadmaps to balance near-term experimentation with scalable enterprise capabilities.
  • Provide technical mentorship, code reviews, and design guidance to engineers and analysts.

What we're looking for

  • Bachelor’s degree in computer science, engineering, data science, life sciences, or a related discipline (advanced degree preferred).
  • 6+ years of experience designing and delivering production data, software, or analytics solutions in a complex enterprise environment.
  • Hands-on experience with generative AI or agentic systems, including orchestration, retrieval, tools, APIs, evaluation, and responsible AI controls.
  • Strong software and data engineering foundation in Python, SQL, APIs, cloud data platforms, source control, testing, and CI/CD practices.
  • Experience eliciting requirements, analyzing processes and data, and translating domain needs into implementable technical designs.
  • Ability to establish credibility with scientific and technical stakeholders and lead complex work across organizational boundaries.
  • Excellent written and verbal communication, facilitation, systems-thinking, and technical mentoring skills.
  • Experience in pharmaceutical R&D, drug discovery, or an adjacent scientific domain (preferred).

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