Working with Us

Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .

Position Summary

TM Imaging utilizes the most cutting-edge medical imaging technology to understand the molecular biology of a wide range of diseases including oncology, immuno-sciences, cardiovascular, and fibrosis and deepen our understanding of how medicines work in the body to treat human disease. During this internship the candidate will have their own project and work alongside our Clinical imaging team by learning and contributing to the development and execution of a fully automated radiomics pipeline. The candidate will gain hands-on experience in image analysis. Will assist in research for analysis techniques with proper validation and have the opportunity to collaborate within Imaging both on the preclinical team and clinical team. Candidate will have a unique opportunity to work collaboratively with a multi-disciplinary team of biomedical engineers, chemists, biologists, and clinicians while learning how to leverage imaging to advance early discovery and translational research. A successful candidate will have some limited technical experience and enthusiasm for working and learning in a research setting.

Key Responsibilities

Develop and evaluate a fully automated machine learning based processing pipeline using CT images

Conduct research, including statistical literature review and methodology development, under supervision

Ability to use deep learning-based algorithms

Understand the context and impact of data and be able to communicate in a timely manner

Qualifications Experience

Ideal candidate is currently enrolled in a quantitative sciences program [Computer Science, Math, Computational Biology, etc]

Strong knowledge of programming languages, with a focus on machine learning (Python, Spark, R, TensorFlow, Sagemaker, etc]

Experience in using deep learning-based algorithms

A healthy interest in medical imaging

Good communication and presentation skills

Must be able to work independently and hold self-accountable for various tasks

Ability to prioritize and manage time efficiently

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers

With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

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 [email protected] . Visit careers.bms.com/ eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

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

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/

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

Company: Bristol-Myers Squibb

Req Number: R1586854

Updated: 2024-10-30 02:00:31.537 UTC

Location: Princeton-NJ

Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.