Principal Scientist, Discovery BioSciences – Integrative New Targets, Oncology Full-time

Principal Scientist, Discovery BioSciences – Integrative New Targets, Oncology

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.

The Oncology Thematic Research Center at BMS is a key research and early development engine, responsible for the discovery and development of novel oncology therapeutics for patients. Centered at our state-of-the-art research sites in Cambridge and Seattle, scientists focus on novel targets and pathways for tumors that are refractory to current therapies. With a deep understanding of the causal human biology, we are able to leverage our multiple modality platforms to best match the modality to the mechanism and desired outcome. We are a fully integrated drug discovery through translational and early clinical development organization which exploits state-of-the-art in vitro, in vivo and ex-vivo models of Cancer biology and Immuno-oncology to identify and validate targets. We partner closely with colleagues in Translational Medicine, Informatics and Predictive Sciences and Early Clinical Development to generate biomarker and patient enrichment hypotheses to enable efficient decision making in early clinical trials. We are optimally positioned to complement the world-class translational expertise, biology and leading academic research centers in the area.

Our Bristol Myers Squibb research site in Cambridge Crossing will help us continue to deliver on our mission, positioning the company and our scientists in the heart of a vibrant ecosystem of world-class science, innovation, and business opportunities.

Position Summary:

We are seeking a highly motivated and innovative AI/ML scientist with experimental cancer biology experience to lead efforts at the intersection of agentic AI, machine learning, functional genomics, and target discovery. In this role, you will identify, create, and validate datasets, and contribute to the development of advanced algorithms and agentic-based tools to discover new therapeutic options within Oncology. In close partnership with cross-functional teams, you will integrate outputs yielding from functional screens, diverse 'omics and real-world data to identify and novel actionable insights for testing. This role offers a unique opportunity to transform new target identification by enhancing predictive and analytical capabilities to meaningfully accelerate oncology target discovery and improve patient outcomes.

Position Responsibilities:

In the role as a Principal Scientist within Discovery BioSciences, the ideal candidate will:

• Drive high-quality data science that is grounded in deep understanding of biology/mechanisms by contributing, developing and pressure testing applied data science methodologies and approaches to identify new targets for oncology drug development.
• Co-develop, communicate, and execute a multi-disciplinary research strategy to enable and enhance innovation in the identification of Oncology new targets by incorporating identified datasets and validating hypotheses yielding from AI/ML approaches.
• Closely align with the Informatics and Predictive Science teams to drive a portfolio of data-science driven integrative New Target projects for Oncology, and drive collaborative innovation to inform large and small molecule inhibitor target modalities.
• Collaborate on the development and implementation of innovative machine learning algorithms, AI/foundation models, and platforms to enable the delivery and validation of novel target insights with the BMS IPS, AI/ML, and other technology-focused teams.
• Play a leading role in matrix teams centered around key technologies such as new leads and computational chemistry, genomics, proteomics, and spatial technologies.

Basic Qualifications:

• Bachelor's Degree with 8+ years of academic and/or industry experience
• Or Master's Degree with 6+ years of academic and/or industry experience
• Or Ph.D. or equivalent advanced degree in the Life Sciences with 4+ years of academic and/or industry experience

Preferred Qualifications:

• This position will be located at the Cambridge, MA site and will not have the ability to be located remotely.
• PhD with 4+ years of experience or MS with 6+ years of experience in cancer biology with a strong scientific mindset and a solid foundation for the application of computational biology, systems biology, and statistical approaches.
• Strong understanding of analytical and computational approaches and methodologies for functional genomics, single cell and spatial 'omics.
• Broad experience with generating and analyzing genomics, proteomics data and/or functional genomics datasets.
• Experience in executing target identification strategies including the design, implementation, and validation of targets from forward and reverse genetic and/or phenotypic screens by use of genome engineering techniques, molecular biology, and genetic perturbation (eg shRNA, CRISPR, degron tagging of endogenous loci) is required.
• Demonstrated expertise in uncovering mechanistic biology that best informs target modality for drug discovery efforts is preferred.
• Excellent communication and cross-collaborative skills, with the ability to operate effectively in fast-paced research environments and influence diverse stakeholders.
• Strong understanding of functional oncology targets such as mutated oncogenes as well as principles around identifying cell surface targets for modalities such as antibody-drug conjugates, T-cell engagers, multispecifics, and radioligand therapies.
• Excellent communication skills, with the ability to communicate complex data insights and recommendations to cross-functional teams and stakeholders.
• Proven history of contributions to the scientific community in the form of papers and/or conference presentations.
• Experience in applying AI/machine learning and statistical modeling techniques.

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 a supportive culture, promoting global participation 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.

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 will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/.

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

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

If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.

R1600834 : Principal Scientist, Discovery BioSciences – Integrative New Targets, Oncology