Principal Scientist, Discovery BioSciences – Integrative Targets, Oncology Cambridge Crossi

Position: Principal Scientist, Discovery Bio Sciences – Integrative New Targets, Oncology Cambridge Crossi[...]
## Principal Scientist, Discovery Bio Sciences – Integrative New Targets, Oncology Cambridge Crossing - MA - USFind out how well you match with this job
** 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. 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:  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 Bio Sciences, 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…