Summary:

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.

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.

#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.

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.