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 .

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.

We seek a talented computational researcher and leader to join the Immunology group within Informatics & Predictive Sciences (IPS), a globally distributed group driving innovative computational research for discovery and early development within BMS research.

A key focus of this role is applying advanced computational approaches to patient profiling data (e.g. bulk and single-cell RNA-Seq) to identify molecular drivers of inflammatory disorders. And through a broad range of genomics research, and by collaboration with cross-functional teams, this position offers an exciting opportunity to enable immunology discovery groups to launch novel programs, validate drug targets, profile pharmaceutical candidates, and assess preclinical biomarkers. It is also an opportunity to work closely with the broader scientific community through collaborations with academic and industrial partners, and to publish and present industry-leading work in this area.

Location: Cambridge, MA or Lawrenceville, NJ

Responsibilities will include, but are not limited to, the following:

• Apply advanced computational approaches to compare high-dimensional experimental readouts to disease states defined by patient data (including transcriptomics, proteomics and single cell omics)

• Lead and work within cross-functional teams, including biologists and chemists, to deliver insights from computational research and translate findings into actionable experimental hypotheses for drug discovery programs.

• Lead matrix teams and perform hands-on analyses to plan and deliver on computational research projects

• Provide technical expertise and scientific leadership, in both internal and external collaborations.

• Communicate findings and recommend follow up actions in multiple settings (including 1:1, seminars, project meetings, and external publications)

Basic Qualifications:

Bachelor's Degree with 8+ years of academic / industry experience

or

Master's Degree with 6+ years of academic / industry experience

or

PhD with 4+ years of academic / industry experience

Preferred Qualifications:

• Ph.D. from a recognized institution in a quantitative field such as computational biology, computational genomics/genetics, computer science, statistics, mathematics, or other related discipline

• 4+ years of post-graduate experience in computational biology research (biopharma industry preferred)

• Background in immunology, autoimmune/inflammatory disease biology, and drug discovery applications strongly preferred

• Experience of analyzing and integrating high-dimensional molecular datasets such as multi-omics (RNA-seq, ATAC-seq, proteomics), single cell (CITE-seq, scRNA-seq, scATAC-seq), and/or CRISPR screen datasets

• Advanced hands-on knowledge of at least one high-level programming language such as R or Python for computational research and reproducible research practices

• Track record (such as scientific publications) in driving and advancing research projects/programs with computational approaches

• Strong oral and written communication skills

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 adastaffingsupport@bms.com . 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.

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: R1583283

Updated: 2024-07-14 01:48:49.416 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.