Principal Scientist, Cell Therapy Predictive Sciences

At Bristol Myers Squibb, we are inspired by a single vision – transforming patients’ lives through science. In oncology, hematology, immunology and cardiovascular disease – and one of the most diverse and promising pipelines in the industry – each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Bristol-Myers Squibb is a global Biopharma company committed to a single mission: to discover, develop, and deliver innovative medicines focused on helping millions of patients around the world in disease areas such as oncology, cardiovascular, immunoscience and fibrosis.

Join us and make a difference. We hire the best people and provide them with a work environment that places a premium on diversity, integrity, collaboration and personal development. Through a culture of inclusion, we create a better, more productive work environment. We believe that the diverse experiences and perspectives of all our employees help to drive innovation and transformative business results.

Overview

We seek an enthusiastic, collaborative computational biologist with strong expertise in applied machine learning to answer cross-asset questions in cellular immunotherapy research and deliver high-impact insights that drive CAR T innovation. The successful applicant is expected to play a key role partnering with clinical development and translational research teams to help develop and deploy next generation cellular therapies.

The candidate will closely collaborate with Clinical Development colleagues in Seattle, San Francisco, and New Jersey, and work cross-functionally with global IPS, Research and Early Development (R&ED) Immuno-Oncology and Cellular Therapy Thematic Research Center (IO/CT TRC), Cell Therapy Development and Operations (CTDO), and Global Biometrics and Data Science (GBDS) colleagues. Keen interest and hands-on expertise in the inter-disciplinary application of advanced statistical learning methods to life sciences and clinical datasets are imperative. We are deeply passionate about what we do here at BMS because we know that our work helps deliver truly innovative and life-changing therapies for complex diseases of unmet medical need—if this inspires you as well, we’re excited to have you join us!

Responsibilities

Working in collaboration with computational, biological, and clinical scientists across the Bristol Myers Squibb IPS, Clinical Development, and IO/CT organizations, responsibilities include but are not limited to:

• Apply cutting edge machine learning and statistical methods to help inform critical biological questions, strategic decisions, and life cycle management of BMS assets
• Integrate clinical data (SDTM/ADaM files) with data from cell therapy manufacturing and biological assays of blood/tumor/tissue (flow cytometry, CyToF, bulk and single cell RNA-seq, ATAC-seq, and CITE-seq) to generate multivariate insights into attributes associated with clinical efficacy, safety, and pharmacokinetics of CAR T therapies
• Interrogate mechanisms of non-response and relapse to CAR T therapy using contemporary bulk and single-cell RNAseq analytical methods
• Contribute to asset and combination prioritization, target discovery, and patient stratification efforts within disease indications
• Engage with colleagues and as part of project teams passionate about developing the next generation of innovative cell therapies, lending analytics expertise to biological and technical subject matter experts as required
• Present publication-quality results, strategies, approaches, and conclusions to cross-functional teams across the cell therapy franchise and translate late-stage findings to early-stage programs
• Author conference abstracts, scientific posters, and journal article publications

Qualifications

• PhD degree in computational biology, statistics, machine learning, or related discipline applied in a biological or clinical setting; or PhD degree in immunology, cancer biology, or related biological field with demonstrated experience in applications of statistical methods and machine learning with 3-5 years of industry and/or postdoctoral experience in relevant disciplines.
• Demonstrated ability to derive insights from high-dimensional data using statistical learning approaches using readable, reproducible, and efficient code
• Expertise in application of statistical learning methods, statistical programming, and data manipulation using R or Python; experience with analyzing bulk and single-cell molecular profiling data; familiarity with contemporary, open-source bioinformatics tools as well as collaborative development using version control systems (e.g., Git)
• Proven problem-solving skills, collaborative nature, and flexibility across multiple research domains
• Ability to work independently and also as a member of a global analytical research team in a fast-paced environment
• Fluent verbal and written English language skills

We are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

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.

Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

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. 

Our company is committed to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an approval of accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application, or 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.