Scientist Nucleic Acids Computational Biology

Responsibilities:
- Design and implement computational approaches to uncover RNA structure–function relationships.
- Build computational tools for high-throughput, data-driven insights to accelerate next-generation mRNA medicines.
- Create custom mRNA optimization strategies to fine-tune expression, stability, immunogenicity, and RNA payload function.
- Innovate mRNA designs using scientific literature.
- 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 to design studies, set experimental priorities, and validate computational discoveries.

Qualifications:
- BS with 5+ years academic/industry experience; or MS with 3+ years; or PhD (no experience required).

Preferred Qualifications / Skills:
- PhD (+1 year) in Computational Biology, Physics, Computer Sciences, or related field.
- Experience with diverse RNA-seq modalities (ribosome profiling, CLIP-seq, single-cell RNA-seq, SHAPE-seq, spatial transcriptomics).
- AI/ML on NGS datasets; computational modeling of nucleic acid functions.
- RNA secondary structure prediction concepts/tools; Python and/or R.
- Cloud computing and high-performance computing.

Benefits (explicitly stated):
- Health, 401(k), disability/life insurance, paid time off, company holiday shutdowns (and other listed benefits).

Application instructions:
- Apply; roles that don’t perfectly match your resume are still encouraged.
- Compensation overview: $141,150–$171,042 (Cambridge, MA, US).