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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.

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: careers.bms.com/working-with-us .

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.

A key focus will be the development and application of novel rare variant methods that combine results from large-scale DNA sequencing data sets with experimental perturbation within in vitro cellular models, ultimately to infer the mechanistic effects of disease-associated variants. Using methods that combine across allelic series, this work will provide a genetics-based estimate of the quantitative relationship between target pathway function and efficacy/safety outcomes, well ahead of clinical trials.

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)

• Experience applying genetics to drug discovery or other healthcare-related applications

• 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

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers

With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

Physical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ (https://careers.bms.com/eeo-accessibility) eeo-accessibility to access our complete Equal Employment Opportunity statement.

BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.

BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Company: Bristol-Myers Squibb

Req Number: R1579096

Updated: 2024-04-26 01:25:11.631 UTC

Location: Cambridge-MA

Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.