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.
We seek an enthusiastic, collaborative computational scientist to harness insights from high-dimensional biological datasets to drive identification and development of novel cellular and immune therapies for cancer patients. The successful applicant will be expected to develop and apply innovative computational modeling approaches to analyze molecular profiling datasets to inform selection of new targets or combinations and elucidating mechanism of action of therapeutic intervention, using datasets from the public domain as well as from proprietary translational studies.
The candidate will collaborate closely with scientists focused on the early pipeline within the Immuno-Oncology and Cell Therapy Thematic Research Center (IOCT-TRC) based in Seattle. The position will include the opportunity to profile and characterize preclinical models to test therapeutic hypothesis being proposed by the computational models.
This research position will be located in a group of computational biologists, machine learning researchers and data engineers who interact on a daily basis with other scientists in the IOCT-TRC, as well as colleagues across Research and Early Development. Supervision and mentorship will be provided by the primary supervisor as well as by other senior scientists in the group. Opportunities exist to collaborate with colleagues with expertise in a wide range of computational disciplines.
This position would suit a person who is detail-oriented and technically precise. A successful candidate will be expected to develop and/or implement quantitative models to engineer next generation cellular therapies, identify molecular mechanisms of efficacy, relapse and toxicity. 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!
Working in collaboration with computational, biological and clinical scientists across the BMS Research and Early Development organization, responsibilities include but are not limited to:
Analyze public and internal bulk and single cell expression datasets, along with other key modalities such as cytometry or imaging, to develop biological rationale for new single or combination treatment paradigms for cancer immunotherapy.
- Use creative approach to selecting and applying computational methods for therapeutic target-focused questions, including modifying or developing new methods as necessary. Exercise judgement in knowing whether existing methods are sufficient for the task at hand.
- Summarize results in presentations for computational and non-computational audiences; prepare written summaries for publications and other needs.
- Apply principles of reproducible research, generating work products that facilitate comparisons across datasets and can be re-used by others.
- Collaborate with colleagues across teams including Discovery, Preclinical, Translational, and Clinical to impact decision-making around milestones for new product development.
Background experience & complementary knowledge
- A Ph.D. in computational biology, bioinformatics, or related field with a firm grasp of quantitative methods; or MS with 8+ years of relevant experience. Candidates with and without post-doctoral experience are encouraged to apply.
- Published experience analyzing expression data and other high-dimensional molecular data such as imaging, proteomics, and other NGS data types. Track record of peer-reviewed publication in relevant scientific journals.
- Eagerness to identify and explore proprietary datasets and to compare them to findings in the public domain.
- Demonstrated ability to work with colleagues across disciplines.
- Evidence of scientific curiosity and focused work on past projects. Ability to see projects through to completion.
- Competent in the statistical underpinnings of methods used for analysis of expression data; experience with machine learning and/or statistics.
- Fluent verbal and written English language skills.
- Fluency in R or Python programming for high-dimensional data analysis.
- Competent in reproducible coding techniques including code versioning systems such as git or subversion.
- Familiarity with relevant open-source bioinformatics tools, databases, and data structures.
- Unix/Linux competence including the ability to manipulate data files and execute programs from the command line or shell script. Shell scripting competence is a plus.
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 firstname.lastname@example.org. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.