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 Create a job alert for this search Senior Data Scientist • San Francisco, CA, United States #J-18808-Ljbffr Society for Conservation Biology
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