Data and Analytics Manager

UCSF•San Francisco, CA

2d•$98,000 - $110,000

About The Position

The Data and Analytics Manager (DAM) oversees all data operations for the Perinatal Research Program (PRP), supporting the program’s continued growth and operational excellence. PRP serves pregnant individuals and their families through clinical research and includes Pregnancy Research Infrastructure and Support Management (PRISM), the Maternal-Fetal Medicine Units (MFMU) Network collaboration, the Fetal Sequencing Program (FSP), and Perinatal Clinical Research (PRC). Its portfolio includes approximately 25 active studies with approximately $7 million in total funding. The role independently manages research data across multiple studies, including database design and maintenance, data quality assurance, data preparation and analysis, reporting, and study monitoring. The manager develops consistent data management procedures and documentation, supports investigators and study personnel, and helps ensure data integrity, security, and compliance with institutional, sponsor, and regulatory requirements. The position also develops monitoring frameworks, dashboards, and reports; provides analytical support for research studies, grants, presentations, manuscripts, and regulatory reporting; trains and consults with research teams; and advances PRP research data systems. This includes evaluating technologies, improving electronic data capture and databases, collaborating with the UCSF Epic team on EHR data workflows, and assessing AI applications for research operations.

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 extracting, integrating, validating, managing, analyzing, and reporting complex research and clinical datasets using statistical software, database query languages, and data visualization tools.
Demonstrated skill designing and maintaining research databases, automated reports, dashboards, data dictionaries, SOPs, and study documentation for multiple concurrent studies.
Ability to independently conduct complex data analyses; prepare publication-quality reports, tables, figures, and summaries; and communicate analytical findings to investigators, collaborators, and research leadership.
Ability to develop standardized data management workflows, quality control procedures, monitoring systems, and operational reporting processes that ensure data integrity, consistency, and regulatory compliance.
Ability to provide technical consultation, training, and user support regarding research databases, data collection procedures, and data management practices.
Ability to manage multiple concurrent projects, prioritize competing deadlines, exercise independent judgment, and collaborate effectively with multidisciplinary teams.
Clear and concise verbal and written communication skills, including the ability to communicate complex information.
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 across 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 analysis and reporting.
Consult with and support investigators and study personnel on database design, data collection procedures, and data management practices.
Collaborate with the PRP Director, Principal Investigators, and study teams to identify study monitoring, evaluation, and reporting requirements.
Design monitoring frameworks and key performance indicators; develop dashboards, recruitment reports, and study tracking systems.
Prepare routine study progress reports and present findings at investigator meetings and project calls.
Analyze operational data to identify trends, recruitment challenges, protocol deviations, and workflow bottlenecks, and recommend improvements.
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 grant applications, scientific presentations, manuscripts, abstracts, and regulatory reporting.
Prepare publication-quality tables, figures, charts, and summary reports; communicate findings, study progress, milestones, and challenges.
Recommend analytical methods and collaborate with investigators and biostatisticians to support study objectives.
Design and oversee data quality assurance and quality control procedures, including validation rules, QA reports, and error-checking programs.
Monitor data quality and coordinate resolution of data discrepancies; evaluate workflows and recommend improvements.
Develop and deliver training on study 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, research staff, students, interns, and trainees.
Evaluate emerging technologies and recommend improvements to research data infrastructure and workflows.
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 patient screening, eligibility determination, chart abstraction, data extraction, dashboards, and operational reporting.
Assess software and technologies that improve data management, reporting, visualization, and research operations.
Independently plan and execute complex data management and analytical activities across concurrent studies, exercise judgment in resolving complex issues, collaborate with multidisciplinary teams, contribute to continuous quality improvement, and perform other duties as assigned by the supervisor.