Scientist Nucleic Acids Computational Biology - Cambridge, MA

This position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers.

About the role

We are seeking a highly motivated and innovative scientist to drive advances at the interface of RNA biology, computational modeling, and machine learning. In this role, you will design and implement cutting-edge computational approaches to uncover RNA structure–function relationships and to support discovery and development programs across the organization. You will work with complex datasets and build computational tools that provide high-throughput, data-driven insights to accelerate next-generation mRNA medicines.

The ideal candidate has a strong foundation in RNA biology, is proficient with RNA secondary structure analysis tools, and has hands-on programming experience in languages such as Python or R. You will work extensively in cloud-based, high-performance computing environments and apply modern software engineering practices to deliver robust, scalable, and well-documented computational solutions. This is a highly collaborative role, requiring close partnership with both wet-lab and dry-lab teams. You will manage multiple dynamic projects, help shape scientific strategy, and clearly communicate findings to stakeholders. A strong track record of impactful research—demonstrated by publications or patent contributions—is strongly preferred.

Responsibilities

• Build and implement custom mRNA optimization strategies to fine tune expression, stability, and immunogenicity, and function of the RNA payload.
• Innovate on mRNA designs by utilizing scientific literature to implement novel design principles.
• Collaborate within the RNA sciences team to generate and analyze NGS data from RNA structure probing and other RNA biology-directed experiments such as SHAPE-MaP, DMS-MaP, ribosome profiling, RIP-seq etc.
• Lead cross‑functional collaboration with experimental biologists, molecular biologists, and therapeutic project teams to design studies, set experimental priorities, and validate computational discoveries.

Requirements

• Bachelor's Degree with 5+ years of academic / industry experience or Master's Degree with 3+ years of academic / industry experience or PhD with no experience required.
• Ph.D. +1 years in Computational Biology, Physics, Computer Sciences or related field (preferred).
• Experience with diverse RNA sequencing modalities beyond standard RNA-seq (e.g., ribosome profiling, CLIP-seq, single-cell RNA-seq, SHAPE-seq, spatial transcriptomics).
• Experience in applying AI/ML models to NGS datasets to elucidate RNA biology.
• Utilization of computational modeling to evaluate nucleic acid functions.
• Ability to dissect RNA secondary structure prediction concepts and computational tools (highly preferred).
• Experience with one or more programming or scripting languages such as Python and R.
• Experience with cloud computing platforms and high-performance computing environments.

Benefits

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.

Pay

Cambridge, MA, US: $141,150 - $171,042 (full-time employee basis). Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.