Company Description
Dinamo is building a new category of high-resolution DNA methylation analysis platform to decode the epigenome and bring clarity to autoimmune disease. We combine molecular biology, engineering, and advanced analytics to develop precision tools that replace ambiguity with insight. Join us to help transform how medicine understands and treats complex diseases.
Responsibilities
This is a fully hands-on role involving analytical development of bioinformatics, ML/AI, data science, statistics, and data visualization methodologies. This is a full-time on-site role at our lab in San Carlos, CA. No remote, no hybrid.
Qualifications
- PhD or Masters in bioinformatics, computational biology, or related field
- 5+ years of experience in bioinformatics, computational biology, statistics, and/or data science
- Evidence (products, publications, patents, open source projects) of original computational / statistical / modeling contributions in the domains of autoimmune diseases, epigenetics, and/or transcriptomics with high-dimensional / high-noise data
- Evidence of cold starting projects in a commercial settings, executing extensive benchmark studies, or otherwise solving challenging / long-standing problems
- Secondary to tertiary bioinformatics analysis, data science, and machine learning with NGS data
- Implementation with Python, plus at least R or one compiled language
- Distributed / cloud / high-performance computing or workflow managers