Winter Co-op/Compbio-ML Scientist
About The Position
GSK is seeking a co-op scientist for its Computational Design, Data Science, VIDRU department, which explores innovative machine learning models for mRNA. The role supports GSK’s investment in mRNA platforms, mRNA vaccines, and mRNA cancer vaccines. The project focuses on computational RNA design. The co-op will develop an RNA diffusion model capable of generating full or conditionally partial sequences while considering multiple objectives and constraints, and benchmark different models for sequence quality and generation speed. The position is a six-month co-op running approximately January through July 2027 and requires 35–40 hours per week. Candidates must maintain active student status or be within 12 months of graduating from a BS or MS program; postdoctoral candidates are not eligible. This is a temporary role as an employee of Atrium on assignment at GSK. Compensation and employment terms will be presented by Atrium upon offer. The role is eligible for overtime pay. On-site or hybrid hires who live more than 50 miles from their assigned work location may be eligible for a one-time relocation stipend. GSK interns and co-ops receive competitive hourly pay and benefits, with benefits eligibility determined the month following the hire date. Candidates must pass a drug screen and background check before the target start date and complete the GSK Digital Assessment, achieving a passing score to proceed.
Requirements
- Must be pursuing a master's or Ph.D. in Computational Biology, Bioinformatics, a STEM field, or a similar discipline.
- Strong background in computational methods and machine learning.
- Experience in biology, preferably with a focus on RNA.
- Must be able to work full-time, 35–40 hours per week, throughout the six-month co-op.
- Must have active student status and/or be within 12 months post-graduation from a BS or MS degree program.
- Postdoctoral candidates are not eligible.
- Must successfully pass a drug screen and background check before the target start date.
- Must complete the GSK Digital Assessment and achieve a passing score to proceed in the application process.
Nice To Haves
- Knowledge of diffusion and flow-matching machine learning models.
Responsibilities
- Develop an RNA diffusion model that generates full or conditionally partial sequences while considering multiple objectives and constraints.
- Benchmark different models based on sequence quality and generation speed.
Benefits
- Competitive hourly pay rate.
- Benefits for GSK interns and co-ops, with eligibility determined the month following the date of hire.
- One-time relocation stipend may be available to eligible on-site or hybrid hires residing more than 50 miles from their assigned work location.
- Eligible for overtime pay in accordance with federal and state requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
