Data Scientist II (Biomarkers)

Position Summary:

Organizes, manages, and analyzes biomarker data in preclinical and clinical studies. Major team contributor in the areas of translational research and diagnostic biomarker development.

Essential Responsibilities:

• Apply data analysis tools and programming methods to provide statistical analysis and visualization to generate insights and knowledge in preclinical and clinical studies
• Organize data and evaluate data quality of studies
• Write, document, and maintain code in R and SQL to transform, standardize and aggregate data to create analysis-ready data sets from raw data
• Participate in designing, planning and developing studies
• Contribute to development of diagnostic biomarker for clinical use
• Responsible for selection and technical monitoring of CROs, including analytical methods and bioanalysis
• Manage external resources in a small company environment
• Collaborate with R&D and clinical colleagues, member of the development team, present results to various internal and external audiences, and communicate effectively

Education and Experience Requirements:

• BS/BA or MS/MA in a scientific discipline and appropriate work experience. PhD in a scientific discipline is preferred
• 3+ years of work experience in a research and/or development environment is preferred
• Strong programing skill and experience in bioinformatics is preferred
• Experience in developing diagnostic biomarkers is a plus
• Experience in metabolic disease is a plus
• Able to build effective working relationships throughout the organization to achieve goals
• Maintains knowledge of state-of-the–art principles and theories and possesses advanced knowledge of scientific principles and concepts in field of expertise
• Ability to work independently and effectively on cross-functional project teams
• Works on complex problems where analysis of situations or data requires an evaluation of intangible variables
• Demonstrates potential for a high level of proficiency, creativity, collaboration with others and independent thought process
• Proficient with Microsoft Office and data analysis.

Location: SF Bay Area (preferred) or Remote