Engineer, Analytical AI Engineering

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

The Engineer is a fully independent mid-level individual contributor who is trusted to own complex work within their assigned areas. You will operate without guidance on most technical work, act as a subject matter expert within your projects, and contribute meaningfully to improving the team’s engineering capability through coaching and process improvement.

Technical Delivery • Lead implementation of complex, loosely scoped problems without guidance; exercise independent judgment on approach, trade-offs, and implementation decisions. • Write well-tested code and pipeline designs without guidance; provide technical guidance to other engineers on the team. • Act as a subject matter expert within your assigned projects and areas of work; ensure test coverage and deployment quality are consistently high. Problem Solving: • Scope features independently for multi-week efforts; make confident technical decisions and validate assumptions with stakeholders where needed. • Learn and evaluate new technologies independently; recommend tools and approaches for team adoption. • Identify and surface technical debt; contribute to prioritization conversations about when and how to address it. • Debug and resolve issues as an SME; tackle complex or unfamiliar issues with a clear hypothesis and a path to resolution before escalating. Collaboration & Growth: • Persuade and negotiate with stakeholders to achieve the right outcomes; articulate complex technical information clearly across audiences. • Contribute to team direction; understand how broader business and technical priorities shape the work. • Coach less experienced engineers in tools, practices, and problem-solving approaches within your assigned areas. • Drive improvements to processes, knowledge, and engineering quality beyond your own assigned work.

Education: • BA/BS required (quantitative or engineering discipline preferred); MS a plus. Experience: • 2+ years of experience in data engineering, software engineering, ML engineering, or a related field; relevant advanced degrees contribute to required years of experience. • Track record of independent delivery with evidence of enabling less experienced teammates. Technical Skills: • Strong proficiency in Python and SQL; writes clean, well-tested code without guidance and provides guidance to others. • Solid experience with data pipeline development and ML workflows (feature pipelines, model inputs, data preparation); growing MLOps proficiency. • Hands-on experience with cloud-native platforms (Databricks preferred; AWS or Azure broadly). • Independently learns and evaluates new technologies; has recommended tools or approaches for team adoption. Competencies: • Fully independent on most technical work; exercises good judgment consistently. • Actively contributes to team growth through knowledge sharing, coaching, and improving the quality of team execution. • Communicates clearly and persuasively with technical and non-technical stakeholders. • Proactively identifies problems and improvement opportunities. #AICP We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

Overview: Princeton - NJ - US: $114,580 - $138,844 
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