Principal Scientist, Discovery BioSciences – Integrative New Targets, Oncology

About the role

The Oncology Thematic Research Center at Bristol Myers Squibb is a key research and early development engine responsible for the discovery and development of novel oncology therapeutics. Scientists focus on novel targets and pathways for tumors that are refractory to current therapies. They leverage multiple modality platforms to best match the modality to the mechanism and desired outcome.

Responsibilities

• Drive high-quality data science 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 yielded 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.

Requirements

This position will be located at the Cambridge, MA site and will not have the ability to be located remotely.

Qualifications

• 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.
• 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).
• Demonstrated expertise in uncovering mechanistic biology that best informs target modality for drug discovery efforts.
• 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.
• 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.

Skills

Expertise in agentic AI, machine learning, functional genomics, and target discovery.

Benefits

Health Coverage: Medical, pharmacy, dental, and vision care.
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.

Pay

$156,180 - $189,252

Schedule

US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees))
Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays