I-SPY EOP Research Data Analyst

University of California - San Francisco, CA

Full-time - Mid Level

Remote - San Francisco, CA

11-50 employees

Educational Services

About the position

The I-SPY EOP Research Data Analyst position at UCSF involves utilizing advanced bioinformatics and statistical analysis skills to support the EOP I-SPY 2 sub-study trial. This role focuses on analyzing clinical and biomarker data to evaluate the effectiveness of neoadjuvant endocrine therapy in high-risk breast cancer patients. The analyst will collaborate with trial investigators and the biometrics team to develop analysis plans, generate reports, and communicate findings to a diverse audience, contributing to the advancement of breast cancer treatment and research.

Responsibilities

• Perform correlative analyses of biomarker and clinical data from the EOP I-SPY 2 sub-study trial.
• Provide bioinformatics and statistical support for EOP and other I-SPY studies.
• Work with trial investigators and the sponsor's biometrics team to develop analysis plans.
• Generate reports and presentations to communicate findings to clinicians, bioinformaticians, and patient advocates.
• Support preparation of manuscripts based on research findings.
• Analyze clinical, biomarker, and outcome data from the EOP and draft analysis plans for new projects.
• Communicate daily with stakeholders to ensure quality and timely execution of analyses.

Requirements

• Bachelor's degree in Bioinformatics, Computational Biology, or related area.
• 3+ years of experience in bioinformatics and translational biomarker research.
• Thorough knowledge of research functions and statistical analysis techniques.
• Strong problem-solving skills and ability to work independently and as part of a team.
• Excellent communication skills, both verbal and written.
• Experience with high dimensional biomarker association analyses.

Nice-to-haves

• Master's degree in Bioinformatics or Computational Biology.
• Experience with longitudinal biomarker data analyses and visualization.
• Experience with next generation exome sequencing data analysis and single-cell sequencing data analysis.

Benefits

• Comprehensive health insurance
• Retirement savings plan
• Flexible work arrangements
• Professional development opportunities
• Paid time off and holidays