Bioinformatician​/Data Scientist​/Computational Biologist focused RNA Therapeutics

About the Role

Internal title:
Senior Expert I/II, Data Science;

Location:

Cambridge, MA, onsite

• Provide computational, bioinformatic, and statistical support for research and early discovery of RNA therapeutics and RNA platform innovation.
• Provide bioinformatics support to xRNA pipeline/technology projects by collecting, analyzing, integrating in‑silico parameters, and screening/omics data to draw conclusions.
• Independently design, plan, execute, document, interpret, and report complex data analyses to drive decisions and set priorities.
• Stay current on field advances and influence introduction of novel/state‑of‑the‑art computational techniques.
• Collaborate in a matrix environment to address project needs and adapt to new technologies.
• Develop user‑friendly applications to make RNA data accessible to bench scientists.
• Communicate analyses to technical and non‑technical audiences.
• Lead or support development of innovative bioinformatics solutions with impact on next‑generation xRNA therapeutics biology/platform.

• PhD in Bioinformatics/Computational Biology/Cheminformatics (or closely related) plus 2+ years post‑grad experience, or MS plus 6+ years relevant experience (preferably industry).
• Experience with next‑generation sequencing (Illumina short reads and/or Pac Bio/Oxford Nanopore long reads) and common analysis tools; ability to develop new pipelines/workflows.
• Strong knowledge in molecular biology, computational genomics, and transcription/post‑transcription gene regulation; RNA biology experience; oligonucleotide therapeutics discovery and/or gene therapy experience highly desired.
• Machine learning for predictive modeling.
• Proficiency in Python and R; scientific computing with Unix/HPC; software development practices (version control, testing, documentation).
• Strong oral/written communication; ability to multitask.
• Experience integrating/analyzing/visualizing multi‑omics and high‑throughput screening data; troubleshooting.
• Ability to monitor sequencing/genomics developments and propose workflow improvements.

• Oligonucleotide chemistry knowledge and RNA structure modeling.
• Experience in lab automation and data management.