Scientist, Oncogenesis Translational IPS

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. They will work alongside BMS colleagues in our Informatics & Predictive Sciences department and will collaborate closely with internal partners within the Research organization.

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 early-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 help advance the BMS early-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 the delivery of truly transformational and life-changing therapies in key diseases of unmet medical need.

Responsibilities

• Perform computational biology analysis for exploration and interpretation of omic datasets, including bulk and single-cell RNASeq, DNA methylation, Exome/Genome sequencing, cytokine, and proteomic data.
• Conduct integrative analysis across different molecular parameters to align drug action with mechanistic hypotheses.
• Perform exploratory analyses of molecular, clinical, and demographic data to identify mechanisms related to adverse events.
• Leverage internal and external datasets, and available information on phenotypic subpopulations to augment data analysis and enable a broader understanding of the enrolled population and patterns of drug response.
• Present and report methods, results, and conclusions to a publishable standard.

Basic Qualifications:

• Bachelor's Degree and 5+ years of experience in computational biology, bioinformatics, statistics or related fields
• or Master's Degree and 3+ years of experience in computational biology, bioinformatics, statistics or related fields
• or PhD in computational biology, bioinformatics, statistics or related fields.

Preferred Qualifications:

• PhD in computational biology, bioinformatics, statistics or related fields.

• Prior experience (4+ years) of analysis, integration and interpretation of high-throughput data supported by high-quality publications.
• Expertise in statistical programming and data manipulation, using e.g. R/Bioconductor, Python, plus good knowledge of contemporary database structures.
• Expertise in statistical analysis, analysis of longitudinal data, data deconvolution and machine learning techniques.
• Experience with version control and high-performance computing, including cloud computing and/or big data analytics platforms would be advantageous.
• Scientific curiosity, collaborative spirit and proven ability to contribute beyond personal projects.
• Ability to understand and communicate the output of computational research to multi-disciplinary scientific teams.

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.