Scientist Nucleic Acids Computational Biology
Bristol Myers Squibb
4 hours ago
Remote friendly (Cambridge, MA)
United States
Clinical Research and Development
Job Summary
We are seeking a scientist to drive advances at the interface of RNA biology, computational modeling, and machine learning. Design and implement computational approaches to uncover RNA structure–function relationships and accelerate next-generation mRNA medicines.
Responsibilities
- Build custom mRNA optimization strategies to tune expression, stability, immunogenicity, and payload function.
- Innovate mRNA designs using scientific literature to implement novel design principles.
- Collaborate to generate/analyze NGS data from RNA structure probing and RNA biology experiments (e.g., SHAPE-MaP, DMS-MaP, ribosome profiling, RIP-seq).
- Lead cross-functional collaboration with experimental teams to design studies, set experimental priorities, and validate computational discoveries.
Basic Qualifications
- Bachelor’s: 5+ years academic/industry experience; or Master’s: 3+ years; or PhD: no experience required.
Preferred Qualifications
- PhD +1 year in Computational Biology/Physics/Computer Science (or related).
- Experience with diverse RNA-seq modalities (e.g., ribosome profiling, CLIP-seq, single-cell RNA-seq, SHAPE-seq, spatial transcriptomics).
- Experience applying AI/ML to NGS; computational modeling of nucleic acid functions.
- Strong understanding of RNA secondary structure prediction; Python/R experience; cloud/HPC experience.
Benefits / Compensation (as listed)
- Compensation range (Cambridge, MA): $141,150–$171,042; includes health, dental, vision, life/disability, 401(k), and other listed benefits.
Application Instructions
- Submit your application; apply even if your background doesn’t perfectly match the requirements.
We are seeking a scientist to drive advances at the interface of RNA biology, computational modeling, and machine learning. Design and implement computational approaches to uncover RNA structure–function relationships and accelerate next-generation mRNA medicines.
Responsibilities
- Build custom mRNA optimization strategies to tune expression, stability, immunogenicity, and payload function.
- Innovate mRNA designs using scientific literature to implement novel design principles.
- Collaborate to generate/analyze NGS data from RNA structure probing and RNA biology experiments (e.g., SHAPE-MaP, DMS-MaP, ribosome profiling, RIP-seq).
- Lead cross-functional collaboration with experimental teams to design studies, set experimental priorities, and validate computational discoveries.
Basic Qualifications
- Bachelor’s: 5+ years academic/industry experience; or Master’s: 3+ years; or PhD: no experience required.
Preferred Qualifications
- PhD +1 year in Computational Biology/Physics/Computer Science (or related).
- Experience with diverse RNA-seq modalities (e.g., ribosome profiling, CLIP-seq, single-cell RNA-seq, SHAPE-seq, spatial transcriptomics).
- Experience applying AI/ML to NGS; computational modeling of nucleic acid functions.
- Strong understanding of RNA secondary structure prediction; Python/R experience; cloud/HPC experience.
Benefits / Compensation (as listed)
- Compensation range (Cambridge, MA): $141,150–$171,042; includes health, dental, vision, life/disability, 401(k), and other listed benefits.
Application Instructions
- Submit your application; apply even if your background doesn’t perfectly match the requirements.