Principal Scientist, Rare Variant Modeling
3 weeks ago
**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 rich in diversity. Take your career farther than you thought possible.
When you join BMS, you are joining a diverse, high-achieving team united by a common mission.
The Informatics and Predictive Sciences (IPS) mission is to Pioneer, Partner and Predict to drive transformative insights for patient benefit. IPS conducts applied computational research in areas that include genomic, structural and molecular informatics, computational and systems biology, patient selection and translational biomarker research, and broader fields including knowledge science, epidemiology and machine learning-across the full lifecycle of drug discovery and development and across all therapeutic areas at BMS. We do this in close partnership with scientific and clinical experts in the field, both inside and outside the company." We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. In doing so, our work transforms the lives of patients, as well as our own lives and careers.
Here, you'll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You'll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.
We seek a talented computational researcher and leader to use large genetic biobank datasets to define genetics dose response for novel target mechanisms ahead of future clinical trials. This role will sit within Informatics & Predictive Sciences, a globally distributed group driving innovative computational research for discovery and early development within BMS research.
This position offers an exciting opportunity to impact human health through innovative human genomics research, and it will enable discovery groups within BMS research to launch novel programs based on causal human biology. It is also an opportunity to work closely with the broader scientific community through pre-competitive collaborations (e.g. FinnGen, UK Biobank, UK Genes & Health, Alliance for Genomic Discovery), and to publish and present industry-leading work in this area.
Location: Cambridge, MA
Responsibilities will include, but are not limited to, the following:
- Provide scientific leadership, strategic oversight, and technical guidance on efforts to build and integrate across a suite of genetic biobank data resources to empower future genetic dose response modeling
- Perform cross-biobank analyses focused on rare-variant and burden association tests
- Develop and/or implement methods to infer the quantitative relationship between variant function and clinical phenotypes across allelic series
- Use population genetic models to inform the design of future genetic biobank studies
- Work as part of cross-functional teams in efforts to use saturation mutagenesis and other experimental methods to define functional effects of genetic variants
- Mentor team members through leadership of matrix teams
- Communicate findings and recommend follow up actions in multiple settings (including 1:1, seminars, project meetings, and external publications)
**Basic Qualifications**:
- Bachelor's Degree in population or statistical genetics, or a related computational/quantitative discipline field and 8+ years of academic / industry experience
- or Master's Degree in population or statistical genetics, or a related computational/quantitative discipline field and 6+ years of academic / industry experience
- or PhD in population or statistical genetics, or a related computational/quantitative discipline field and 4+ years of academic / industry experience
**Preferred Qualifications**:
- PhD in population or statistical genetics, or a related computational/quantitative discipline field
- 4 or more years relevant industry experience, preferred
- 2+ years of leadership experience
- Deep scientific expertise in population genetic models and analyses of rare variants (e.g. long-standing working experience in this area and/or a track record of high-impact peer-reviewed publications)
- Advanced hands-on knowledge of at least one high-level programming language such as R or Python
- Familiarity with functional genomics and genetic perturbation technologies preferred
- Demonstrated ability to advance multi-disciplinary team projects required; mentorship experience preferred
**Uniquely Interesting Work, Life-changing Careers**
**On-site Protocol**
Physical presence at the BMS worksite or phy
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