- Bristol-Myers Squibb Company
- $77,520.00 -128,560.00/year*
101 Auburn St
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.Summary
The qualified candidate is a highly motivated, interactive, and creative individual who possesses substantial experience in tumor biology and genetics and how these features could impact immune responses to the tumor. The candidate will be expected to contribute to the team's project portfolio by developing new project hypotheses (assembled from literature reports, evaluation of public and proprietary tumor profiling datasets, preclinical mechanistic models and screens, etc.), to validate these in preclinical models, and to develop assays to support early preclinical drug development. The opportunity to gain experience in preclinical drug development is available as projects progress. The highly matrixed nature of this role provides a unique opportunity to broaden scientific expertise into both cancer intrinsic and extrinsic drivers of resistance.
The successful candidate will demonstrate clear and professional verbal and written communication, capable of presenting scientific results to multidisciplinary teams, senior management and at external scientific meetings. The candidate will contribute to the development of external partnerships/collaborations to advance internal programs and the understanding of the interplay between tumor genetics/biology and anti-tumor immune responses as well as publish to advance our science and support our scientific reputation. As a highly matrixed working group, the individual should demonstrate the ability to contribute to various projects outside of his/her own, as appropriate, and collaborate with stakeholders from all relevant and necessary functions within BMS as well as external collaborators. S/he will keep up-to-date in the literature related to his/her field, act as an expert resource in his/her scientific field and in related disciplines.Qualifications
A Ph.D. degree with post-doctoral/academic/industrial experience in cancer biology and genetics or a closely related field
A proven track record in the field of cancer biology and genetics, as evidenced by publication record
Excellent in vitro biology skills, experimental design and execution, as well as expertise to independently apply bioinformatics and data mining through multi-variate analysis
Ability to effectively interact with core bioinformatics colleagues, as well as to use desktop tools/interfaces (e.g., Oncoland, Wuxi) and public databases (CBIO, Achilles, etc.)
Excellent interpersonal skills with the ability to interact and influence effectively with people, internally and externally, is required.
Experience in the design, validation and execution of genetic and/or phenotypic screens is desired.
The ability to manage a small laboratory group is expected, including providing from growth and development opportunities for associates reports.
This position is located in Cambridge, MA. There will be less than 10% travel.
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 the resources to pursue their goals, both at work and in their personal lives.
Associated topics: biomedical, diet, dietician, immunoassay, immunohematology, medical, metabolism, nephrology, nutritionist, physiology
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.
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