Senior Bioinformatics / Data Scientist

Society of Exploration Geophysicists; Sunnyvale (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

A leading biotech company is seeking an experienced Bioinformatician to enhance their high-resolution DNA methylation analysis platform. This full-time role focuses on developing methodologies using bioinformatics, machine learning, and data visualization at their lab in California, aimed at transforming medical understanding of complex diseases.

Qualifications

• 5+ years of experience in bioinformatics, computational biology, statistics, and/or data science.
• Evidence of original contributions in computational/statistical modeling for autoimmune diseases.
• Experience with NGS data and distributed/cloud computing.

Responsibilities

• Hands-on role developing bioinformatics, ML/AI, data science methodologies.
• Conduct extensive benchmark studies and solve complex problems.

Skills

Bioinformatics

Data Science

Statistics

Machine Learning

Data Visualization

Education

PhD or Masters in bioinformatics, computational biology, or related field

Tools

Python

R

High-performance computing

Job description

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