Data and Analytics Manager

University of California, San Francisco•San Francisco, CA

About The Position

The Data and Analytics Manager (DAM) oversees data operations for the Perinatal Research Program (PRP), supporting its continued growth and operational excellence. The PRP comprises four components: Pregnancy Research Infrastructure and Support Management (PRISM), a research infrastructure program at Mission Bay; a parallel infrastructure support program at Zuckerberg San Francisco General Hospital (ZSFG); the Maternal-Fetal Medicine Units (MFMU) Network collaboration; the Fetal Sequencing Program (FSP); and Perinatal Clinical Research (PRC). The program supports a broad portfolio of perinatal clinical research, including randomized trials, long-term follow-up studies, industry-sponsored studies, prenatal diagnostic development, and treatment studies. Its portfolio includes approximately 25 active studies and approximately $7 million in total funding. The manager independently oversees research data management, monitoring and evaluation, data analysis and reporting, and quality assurance across multiple concurrent studies. The role designs and maintains databases, data collection tools, documentation, reporting systems, and standardized procedures; prepares and analyzes datasets; and advises investigators and study teams. The position also provides staff training and consultation, improves data systems and workflows, and evaluates technologies such as EHR integrations and artificial intelligence applications. The role collaborates with the PRP Director, principal investigators, research teams, statisticians, clinical partners, and the UCSF Epic team.

Requirements

Bachelor's degree in a related area and/or equivalent experience or training.
Advanced knowledge of clinical and translational research methods, research data management, human subjects protections, and applicable federal, state, sponsor, and institutional regulations, including HIPAA, IRB, NIH, FDA, and GCP requirements.
Advanced knowledge of research database design, electronic data capture systems, relational databases, data governance, quality assurance and quality control, and research data security.
Demonstrated skill in extracting, integrating, validating, managing, analyzing, and reporting complex research and clinical datasets using statistical software, database query languages, and data visualization tools.
Demonstrated skill in designing and maintaining research databases, automated reports, dashboards, data dictionaries, SOPs, and study documentation for multiple concurrent studies.
Demonstrated ability to perform complex data analyses independently; prepare publication-quality reports, tables, figures, and summaries; and communicate findings to investigators, collaborators, and research leadership.
Demonstrated ability to develop standardized data management workflows, quality control procedures, monitoring systems, and operational reporting processes that support data integrity, consistency, and regulatory compliance.
Demonstrated ability to provide technical consultation, training, and user support regarding research databases, data collection procedures, and data management practices.
Demonstrated ability to manage multiple concurrent projects, prioritize competing deadlines, exercise independent judgment, and collaborate effectively with multidisciplinary teams.
Ability to communicate complex information clearly and concisely, verbally and in writing.
Research skills sufficient to evaluate evidence-based alternative solutions and develop recommendations.

Nice To Haves

Master's degree in a related area.
Experience evaluating, implementing, and optimizing emerging technologies, including Epic integrations, business intelligence tools, workflow automation, and AI applications that improve research operations and data management.
Experience applying epidemiological methods to research data analysis.
Proficient project management skills.

Responsibilities

Independently manage research data for multiple PRP studies, ensuring data integrity, security, and compliance with institutional, sponsor, and regulatory requirements.
Design, develop, implement, and maintain research databases, data dictionaries, data collection instruments, study protocols, and manuals of operations.
Establish standardized data management procedures across recruitment and collaborating sites, and maintain documentation such as SOPs, data dictionaries, and version control.
Extract, transform, validate, clean, and prepare complex datasets for statistical analysis and reporting.
Provide technical consultation and ongoing support to investigators and study personnel on database design, data collection, and data management practices.
Identify study monitoring, evaluation, and reporting requirements with the PRP Director, principal investigators, and study teams.
Design and implement monitoring frameworks and key performance indicators; develop dashboards, recruitment reports, and study tracking systems.
Prepare study progress reports, present findings at investigator meetings and project calls, and analyze operational data to identify trends, recruitment challenges, protocol deviations, and workflow bottlenecks.
Support implementation and monitoring of research data security policies and institutional compliance requirements.
Prepare datasets for statistical analysis and conduct descriptive and analytical analyses supporting research studies.
Generate reports for grants, presentations, manuscripts, abstracts, and regulatory reporting; prepare publication-quality tables, figures, charts, and summaries.
Communicate analytical findings, study progress, milestones, and challenges to investigators and research leadership; recommend analytical methods and collaborate with investigators and biostatisticians.
Design, implement, and oversee data quality assurance and quality control procedures, including automated validation rules, reports, and error-checking programs.
Monitor data quality and coordinate resolution of discrepancies with study personnel; evaluate workflows and recommend improvements.
Develop and deliver training for UCSF and collaborating institution research staff on databases, electronic data capture systems, and standardized data collection procedures.
Create user guides, training materials, and SOPs, and provide consultation and technical support to investigators, coordinators, students, interns, and research trainees.
Evaluate emerging technologies and lead enhancements to electronic data capture systems and research databases.
Collaborate with the UCSF Epic team to optimize EHR data extraction, cohort identification, and research workflows.
Evaluate and integrate AI technologies for research operations, including patient screening, eligibility determination, chart abstraction, data extraction, dashboard development, and operational reporting.
Assess software and technology tools for improving data management, reporting, visualization, and research operations.
Plan and execute complex data management and analytical work independently, exercise judgment in resolving complex issues, collaborate with multidisciplinary teams, contribute to continuous quality improvement, and perform other duties as assigned.