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About the Role

The Data and Analytics Manager (DAM) position will oversee all aspects of the data operations of the Perinatal Research Program (PRP), central to the program's continued growth and operational excellence.

Responsibilities

Independently manage research data across multiple PRP research studies, ensuring data integrity, security, and compliance.
Design, develop, implement, and maintain research databases, data dictionaries, data collection instruments, study protocols, and manuals of operations.
Establish standardized data management procedures to ensure consistency across multiple recruitment and collaborating sites.
Develop and maintain comprehensive documentation for all data management processes, including standard operating procedures (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 regarding database design, data collection procedures, and data management best practices.
Collaborate with the PRP Director, Principal Investigators, and study teams to identify study monitoring, evaluation, and reporting requirements.
Design and implement monitoring frameworks and key performance indicators for multiple research studies.
Develop automated dashboards, recruitment reports, and study tracking systems to support operational oversight.
Prepare routine study progress reports and present findings during investigator meetings and project calls.
Analyze operational data to identify trends, recruitment challenges, protocol deviations, and workflow bottlenecks, providing recommendations for process improvement.
Support implementation and monitoring of research data security policies and institutional compliance requirements.
Independently prepare datasets for statistical analysis and conduct descriptive and analytical data analyses supporting research studies.
Generate data reports for grant applications, scientific presentations, manuscripts, abstracts, and regulatory reporting.
Prepare publication-quality tables, figures, charts, and summary reports for investigators and collaborators.
Summarize analytical findings and communicate study progress, milestones, and challenges to investigators and research leadership.
Recommend appropriate analytical methods and collaborate with investigators and biostatisticians to support study objectives.
Design, implement, and oversee comprehensive data quality assurance and quality control procedures.
Develop automated validation rules, quality assurance reports, and error-checking programs to ensure data completeness, accuracy, and consistency.
Monitor data quality across multiple studies and coordinate resolution of data discrepancies with study personnel.
Evaluate data management workflows and recommend improvements to increase efficiency and data reliability.
Develop and deliver training for research staff at UCSF and collaborating institutions on study databases, electronic data capture systems, and standardized data collection procedures.
Create user guides, training materials, and standard operating procedures for research personnel.
Provide consultation and technical support to investigators, research coordinators, students, interns, and research trainees regarding research data management and reporting systems.
Evaluate emerging technologies and recommend improvements to research data infrastructure and workflows.
Lead implementation of enhancements to electronic data capture systems and research databases to improve efficiency and support increasingly complex analyses.
Collaborate with the UCSF Epic team to optimize electronic health record (EHR) data extraction, cohort identification, and research workflows.
Evaluate and integrate Artificial Intelligence (AI) technologies to improve research operations, including automated patient screening, eligibility determination, chart abstraction, data extraction, dashboard development, and operational reporting.
Assess new software tools and technologies that improve data management, reporting, visualization, and research operations.
Independently plan and execute complex research data management and analytical activities for multiple concurrent studies.
Exercise independent judgment in resolving complex data management and analytical issues.
Collaborate effectively with investigators, clinical partners, statisticians, and multidisciplinary research teams.
Contribute to continuous quality improvement initiatives supporting PRP research operations.
Perform other duties as assigned by the supervisor.

Requirements

Bachelor's degree in related area and / or equivalent experience / training.
Advanced knowledge of clinical and translational research methods, research data management principles, human subjects protections, and applicable federal, state, sponsor, and institutional regulations (e.g., HIPAA, IRB, NIH, FDA, GCP).
Advanced knowledge of research database design, electronic data capture systems, relational databases, data governance, quality assurance/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, standard operating procedures, and study documentation supporting multiple concurrent research studies.
Demonstrated ability to independently perform complex data analyses; prepare publication-quality reports, tables, figures, and summaries; and communicate analytical 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 ensure data integrity, consistency, and regulatory compliance.
Demonstrated ability to provide technical consultation, training, and user support to investigators, research staff, and collaborating institutions regarding research databases, data collection procedures, and data management best practices.
Demonstrated ability to manage multiple concurrent projects, prioritize competing deadlines, exercise independent judgment, and collaborate effectively with multidisciplinary teams.
Skills to communicate complex information in a clear and concise manner both verbally and in writing.
Research skills at a level to evaluate evidence based alternate solutions and develop recommendations.

Skills

Data Management
Database Design
Electronic Data Capture Systems
Statistical Software
Database Query Languages
Data Visualization
Data Analysis
Reporting
Quality Assurance
Quality Control
Training
Consultation
HIPAA
IRB
NIH
FDA
GCP
Epic
Artificial Intelligence (AI)

Location

San Francisco Bay Area

Work Type

Full-time

Experience Level

Advanced
Manager

Education Level

Bachelor's degree
Master's degree

About the Company

The Perinatal Research Program (PRP) is organized around four major sub-program components with the mission of serving pregnant individuals and their families through excellence in clinical research.
The Department of Obstetrics, Gynecology and Reproductive Sciences (Ob, Gyn & RS) is a major academic Department in the School of Medicine, engaged in clinical, research and training activities at the Parnassus, Mount Zion, and Zuckerberg San Francisco General Hospital campuses, the new Betty Irene Moore Women’s Hospital at Mission Bay, as well as satellite locations throughout the Bay Area, with an annual operating budget of $150 million.
The mission of the Department of Obstetrics, Gynecology & Reproductive Sciences is to improve the lives and health of all women through excellence, innovation and leadership in patient care, scientific discovery, education, advocacy, and diversity, equity and inclusion.

Equal Opportunity

Reasonable accommodation(s) to qualified individuals with disabilities are available as part of the application and interview processes. If you would like to request accommodations, please contact the recruiter or hiring manager. If workplace accommodations are needed after a job offer is made, please contact the supervisor and/or Disability Management Services (DMS) at (415) 476-2621 [tel:4154762621] to initiate the interactive process.