Summer 2025 Undergraduate Computational Biology Internship
San Diego Campus Point - CA
Applications have closed
Bristol Myers Squibb
Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients with serious diseases.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
We are seeking a highly motivated student to join our group for a 10-week long summer internship program. A successful candidate with work with their mentor to adopt, develop, and apply gene regulatory network inference methods to several bulk/single-cell expression of both static and dynamic varieties following genetic / pharmacological perturbation. In particular, the goal will be to evaluate and identify a standard experimental and computational strategy for unravelling the signaling circuit of disease-associated transcriptional regulatory factors towards ultimately identifying critical biomarkers to inform patient selection. Throughout this process, the candidate will not only have the opportunity of working with large-scale multi-omics datasets, they will also be able to learn about key decisions driving precision drug discovery as well as gain first-hand experience balancing independent and collaborative research in an industry R&D setting.
Key Responsibilities
- Implement published gene regulatory network inference methods as pipelines
- Benchmark experimental/computational method/parameters for mechanism deconvolution
- Identify optimal setup based on biological relevance in the context of patient data
Qualifications & Experience
- Experience in programming with Python or R as well as common statistical modelling / machine learning frameworks in the corresponding language
- Familiarity with networks analysis / systems biology methods as applied to multi-omics data (e.g., transcriptomics / proteomics)
- Currently enrolled in a MS/PhD program in computer science, bioinformatics, statistics, physics, or a similar field
- Must be able to work full-time for the program duration
- Excellent verbal and communication skills
The starting compensation for this job is a range from $21.00/hour - $29.00/hour. The starting pay rate takes into account characteristics of the job, such as required skills and the geographic location where work is performed. Final individual compensation is decided commensurate with demonstrated experience and education level.
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.
Tags: Bioinformatics Biology Computer Science Drug discovery Excel Machine Learning PhD Physics Pipelines Privacy Python R R&D Research Statistics
Perks/benefits: Career development Competitive pay
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