Role Summary
Senior Associate Scientist, Bioinformatics. Role focuses on analyzing and communicating results from large NGS datasets, developing and evaluating sequencing pipelines, and contributing to a bioinformatics team within a RNAi therapeutics company.
Responsibilities
- Run and develop proprietary Next Generation Sequencing analysis pipelines for short- and long-read technologies.
- Communicate results of computational analyses to interdisciplinary teams of scientists.
- Investigate state-of-the-art statistical methods and omics tools for novel sequencing technologies (e.g., RNA modification measures, proteogenomics).
- Assist in the interpretation of results from complex scientific experiments.
- Professionally maintain code in a version-controlled repository.
- Contribute to our data science culture.
Qualifications
- M.S. in a quantitative discipline, or B.S. with 2+ years of equivalent professional experience.
- Coding capability in R and Python.
- Prior experience with the analysis of omics-based biological datasets; familiarity with NGS and differential expression analysis tools preferred.
- Experience with statistical methods and comfort reading and understanding scientific publications is preferred.
- Drive to learn and understand new sequencing-based technologies, and to develop and troubleshoot downstream analysis pipelines.
- Comfort working with Unix systems and cloud-based computing environments and tools (e.g., AWS, Docker).
- Knowledge of, or interest in learning, the fundamentals of RNAi biology.
- Experience communicating and presenting scientific results, and collaborating with colleagues with varied skill sets.
Skills
- Bioinformatics analysis
- NGS data processing
- Statistical methods
- Programming in R and Python
- Version control and collaboration
Education
- M.S. in a quantitative discipline, or B.S. with relevant experience as listed in Qualifications