Summer 2025 - PhD Internship - Statistical Genetics

Cambridge Crossing

Bristol Myers Squibb

Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients with serious diseases.

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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.

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.

Position Summary

This internship position will be in the human genetics group of the Informatics and Predictive Sciences (IPS) department at Bristol Myers Squibb. The individual in this role will be responsible for analyzing human genetics data from biobanks, through methods such as rare variant collapsing models and polygenetic risk score, to discover novel targets and identify patient stratification. The ideal candidate will have experiences in analyzing large-scale genetics data from biobanks, with experiences in analyses of genome-wide association and polygenetic risk score preferred. The intern will have experiences in the state-of-the-art causal human biology-based new target incubation pipeline and gain skillsets of novel target ideation through statistical human genetics approaches.


Key Responsibilities

Integrate common and rare genetic variant associations to generate hypotheses regarding novel drug targets and patient stratification Develop and apply methodology for polygenic risk score and identify rare functional coding variants associated with complex diseases Communicate findings of the analyses to a broader audience as part of a presentation at the end of the summer


Qualifications & Experience

  • Currently enrolled in a PhD program in biostatistics, genetic epidemiology, bioinformatics, computational biology or a related field
  • Proficiency in at least one high-level programming language (R, Python, C++) for complex data analysis
  • Experience in analyzing high-dimensional, biobank-level data (e.g., UK Biobank)

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

BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

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/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.

If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

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

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Tags: Bioinformatics Biology Biostatistics Data analysis Excel PhD Privacy Python R Statistics

Region: North America
Country: United States

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