Ring Therapeutics Inc. is a privately held, early-stage biotechnology company pioneering a completely novel form of gene therapy by exploiting a family of naturally occurring commensal viruses to create the first redosable and targetable DNA medicines. This approach enables a powerful new class of tropic, persistent, non-integrating vectors that overcome the immunogenicity, and limited tropism of existing gene therapy vectors. Ring Therapeutics is leveraging this versatile technology to develop a broad pipeline of novel, targeted medicines for disease with high unmet medical need.
Ring Therapeutics was founded by Flagship Pioneering, focused on launching breakthrough companies based on internally conceived innovations and insights. Flagship Pioneering has created over 40 groundbreaking companies over the past fifteen years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Seres Therapeutics (NASDAQ:MCRB), Moderna (MRNA), Syros Pharmaceuticals (SYRS), Rubius Therapeutics (RUBY), Axcella Health (AXLA), Evelo Biosciences (EVLO), and Indigo Agriculture.
Ring Therapeutics is seeking a Computational Biologist to be a key contributor on its viral genomics team. The ideal candidate has a strong background in virology, genetics, and multi-omics data analysis, has experience in both developing new methodologies and establishing bioinformatics pipelines, and thrives in an interdisciplinary team environment.
- Pioneer novel approaches to identify viral sequences via targeted and metagenomic sequencing using alignment and classification tools, machine learning, and other methodologies.
- Develop novel NGS analysis methods and contribute to existing pipelines; analyze public and in-house NGS datasets.
- Create innovative data visualizations and communicate complex results to interdisciplinary audiences.
- Ensure computational work is documented and reproducible.
- Work in a highly dynamic startup environment with an interdisciplinary team.
- PhD or MS with multiple years industry experience or equivalent in bioinformatics, computational biology, genomics, or related field.
- Proficient in at least one programming language.
- Experience with NGS data analysis.
- Demonstrated ability in working with highly skilled, diverse teams in an industry environment.
- Demonstrated industry experience or academic achievement, as evidenced by publications in high impact journals, conference proceedings, or widely used codebase.
- Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner.
- Experience with RNA-seq data analysis, including differential expression and transcriptome assembly.
- Experience with cloud computing.
- Proficiency with Python and R.
- Familiarity with version control and a commitment to reproducible computational research.
- Experience with pipeline development tools such as Nextflow, SnakeMake, or Cromwell.