Scientist, Translational Informatics and Predictive Sciences

Bristol Myers Squibb•Princeton, NJ

20h

About The Position

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. 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. When you join BMS, you are joining a diverse, high-achieving team united by a common mission. The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning—across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company. We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers. Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma. Scientist, Translational Informatics and Predictive Sciences The Scientist will apply cutting-edge bioinformatics, statistical, modeling, and computational biology approaches to analyze large-scale clinical datasets and drive translational insights across the BMS portfolio. This role focuses on both clinical and real-world patient datasets to discover biomarkers, elucidate disease biology, and inform development strategies for the pipeline. The scientist will have a direct impact on advancing therapies for patients and accelerating scientific understanding of disease biology and therapeutic response.

Requirements

Bachelor's Degree 5+ years of academic / industry experience Or Master's Degree 3+ years of academic / industry experience Or PhD No experience required

Nice To Haves

Ph.D. in bioinformatics, computational biology, machine learning, engineering, genetics, statistics, cancer biology, immunology, or related field.
Experience with high-throughput molecular data, such as next-generation sequencing, single-cell technologies, proteomics, and/or flow cytometry.
Proficiency in R and/or Python, with hands-on experience leveraging agentic AI coding tools required.
Prior experience with either single-cell and/or spatial technologies or with machine learning/AI methods strongly preferred.
Prior experience in oncology preferred.
Solid understanding of fundamental statistical methods.
Growth mindset with a passion for continuous learning.
Strong problem-solving skills, creativity, and scientific rigor.
Good communication, data visualization, and presentation skills.

Responsibilities

Partner with biomarker scientists, clinical development teams, and preclinical researchers to design and execute bioinformatics strategies for clinical and translational studies.
Analyze high-dimensional molecular datasets to generate mechanistic insights into treatment response and resistance.
Apply and/or develop ML/AI methods to extract patterns from multi-omics and real-world datasets, including predictive modeling, feature selection, and data integration across modalities.
Leverage patient-level datasets to shape development strategies, clinical trial hypotheses, and target selection.
Build reproducible, well-documented analytical workflows and contribute to scalable pipelines.
Summarize results and communicate actionable findings to decision-making bodies across R&D, as well as external scientific audiences.

Benefits

Health Coverage: Medical, pharmacy, dental, and vision care.
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

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