Scientist Nucleic Acids Computational Biology - Cambridge Crossing MA

Position: Scientist Nucleic Acids Computational Biology - Cambridge Crossing MA - No Experience Required
Job Description

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Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.

JOB SUMMARY

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 diverse 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.

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.

Additional Qualifications/Responsibilities

Basic Qualifications

Bachelor's Degree 5+ years of academic / industry experience
Or Master's Degree 3+ years of academic / industry experience
Or PhD No experience required

Preferred Qualifications

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 required
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

Compensation Overview:

Cambridge - MA - US: $141,150 - $171,042