Scientist Nucleic Acids Computational Biology - Cambridge, MA

Military Spouse Corporate Career NetworkCambridge, MA
Onsite

About The Position

Bristol Myers Squibb is 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. If you excel in a fast-paced, interdisciplinary environment and are excited to push the boundaries of computational RNA science, we would love to hear from you.

Requirements

  • Bachelor's Degree 5+ years of academic / industry experience OR Master's Degree 3+ years of academic / industry experience OR PhD No experience required
  • Strong foundation in RNA biology
  • Proficient with RNA secondary structure analysis tools
  • Hands-on programming experience in languages such as Python or R
  • Extensive work in cloud-based, high-performance computing environments
  • Application of modern software engineering practices to deliver robust, scalable, and well-documented computational solutions
  • Ability to manage multiple dynamic projects
  • Ability to shape scientific strategy
  • Ability to clearly communicate findings to stakeholders

Nice To Haves

  • Ph.D. +1 years in Computational Biology, Physics, Computer Sciences or related field.
  • 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
  • Strong track record of impactful research—demonstrated by publications or patent contributions

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.

Benefits

  • Competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.
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