Senior Scientist, Disease Strategy Team, Translational Bioinformatics

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.

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.

We seek a talented, collaborative inter-disciplinary computational scientist to work on the analysis, statistical modeling and generation of hypotheses from large, complex, multi-modal patient derived data sets. This individual will play a key scientific role leveraging innovative computational analysis strategies and rich patient data to empower data-driven decisions alongside BMS colleagues in our Informatics & Predictive Sciences department and in collaboration with internal partners in drug discovery and translational medicine research teams.

Analysis scenarios will involve applying cutting-edge bioinformatics, statistics, ML/AI, and data analysis methods integrating clinical and multi-modal data sets that from BMS’s industrial-leading late stage oncology clinical studies. Develop and benchmark ML/AI methods integrating multiple data types, which could include WES/WGS, RNA- Seq, scRNAseq, spatial transcriptomics, IHC/H&E, among others. This work will influence development strategies and advancing BMS late stage oncology pipeline. This position offers the exciting opportunity to make major contributions to scientific knowledge of cancer disease biology, and to directly impact treatment of cancer patients.

The position would suit an individual with strong biological and computational capabilities and excellent communication and collaboration skills. Applications are encouraged from those involved in innovative translational research for hematology and/or solid tumor indications in clinical or industrial research environments. The role offers the opportunity to impact directly the delivery of truly transformational and life-changing therapies in key diseases of unmet medical need.

Responsibilities

• Summarize analysis results and report conclusions to BMS decision-making bodies.
• Perform analysis of clinical and molecular datasets (e.g., large-scale -omics datasets including RNASeq, and Whole Exome/Genome Sequencing) and obtain clinically meaningful interpretations.
• Develop and apply integrative computational methods for patient stratification based on integration of molecular profiling datasets.
• Collaborate with experimental teams in the iterative validation of therapeutic and mechanistic therapeutic hypotheses.
• Work with colleagues in the Informatics & Predictive Sciences group to identify drivers of disease heterogeneity and potential therapeutic targets for patients in unmet need.
• Drive in-depth analysis of stratified patient data to elucidate biological and driver mechanisms in key oncology indications (integrating multiple omics datasets, including scRNAseq or spatial transcriptomics).

Basic Qualifications

• Or PhD and 2+ years of experience in computational biology, bioinformatics, statistics or related fields.
• Or Master's Degree and 5+ years of experience in computational biology, bioinformatics, statistics or related fields
• Bachelor's Degree and 7+ years of experience in computational biology, bioinformatics, statistics or related fields

Preferred Qualifications

• Familiarity with contemporary cloud and high-performance computing environments.
• Fluent written and verbal English language communication.
• Substantial experience working with Next Generation Sequencing datasets, including RNAseq, scRNAseq, Whole-Genome, Whole-Exome Sequencing or spatial transcriptomics.
• Experience integrating and analyzing -omics data, including both bulk and single cell.
• Expertise in modern AI/ML methods (i.e. Graphical Neural Networks (GNNs) or Transformers)
• Strong problem-solving and collaboration skills, rigorous and creative thinking.
• Experience in biotech or pharmaceutical industries.
• Ph.D. with 2+ years or M.S. with 5+ years of experience in computational biology, bioinformatics, statistics or related fields.
• Strong experience in the use of a high-level programming language such as R and Python.
• Strong communication, data presentation, and visualization skills.

#QLR

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

Physical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.

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.

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