Engineer, Analytical AI Engineering

Bristol Myers Squibb; Princeton (NJ); On-site; USD 115,000 - 139,000; Full time

Benefits offered by this job

Flexible Time Off

11 holidays

Comprehensive benefits

Job summary

Bristol Myers Squibb in Princeton, NJ is seeking an Engineer for Analytical AI Engineering to design and deliver data-driven ML solutions. You will own end-to-end data pipelines, collaborate with cross-functional teams, and contribute to scalable AI workflows in a fast-paced environment.

The candidate will have 2+ years in data or ML engineering, strong Python/SQL skills, and experience with cloud platforms; on-site at Princeton, with a supportive, benefit-rich workplace culture.

Qualifications

• 2+ years of data engineering, software engineering, ML engineering, or a related field.
• Track record of independent delivery with evidence of enabling less experienced teammates.
• Proficient in Python and SQL with clean, tested code.
• Experience with data pipelines and ML workflows; growing MLOps proficiency.

Responsibilities

• Lead implementation of complex, loosely scoped problems with independent judgment.
• Write well-tested Python code and pipeline designs; guide teammates.
• Act as SME; ensure test coverage and deployment quality across projects.

Skills

Python

SQL

Data pipelines

ML workflows

Databricks

AWS/Azure

Independent learning

Education

BA/BS required (quantitative or engineering discipline preferred); MS a plus

Tools

Databricks

AWS

Azure

Job description

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.

#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.

Summary

Key Responsibilities

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.

Qualifications

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.

Compensation Overview

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

The starting pay range(s) listed above is for full-time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.

Benefits

Subject to the terms and conditions of the applicable plans then in effect, you may be eligible to participate in our comprehensive benefit plans – including wellbeing support, retirement and financial protection benefits, and insurance offerings (medical, dental, vision, life and disability).

U.S.-based exempt employees are eligible for Flexible Time Off (FTO), which provides paid time off without a set accrual limit, subject to manager approval, along with 11 paid company holidays each year.

Non-exempt employees, RayzeBio employees, and employees located in Puerto Rico receive 160 hours of paid vacation annually for new hires (subject to manager approval), 11 paid company holidays, and 3 optional holidays.

Depending on eligibility, employees may also have access to additional time‑off benefits, including paid sick leave, up to two paid volunteer days per year, summer hours flexibility, and leaves of absence for medical, personal, parental, caregiver, bereavement, or military needs. Eligible employees also enjoy an annual Global Shutdown between Christmas Day and New Year's Day.

U.S.-based job seekers can explore full benefit offerings at https //careers.bms.com/benefits

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https //careers.bms.com/ways-of-working.

Supporting People With Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [e-mail]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

For roles based in Los Angeles County only If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information https //careers.bms.com/california-residents/

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https //careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

R1604806 Engineer, Analytical AI Engineering