Data and Analytics Manager

Job Summary:

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

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.

Pregnancy Research Infrastructure and Support Management (PRISM) was established in 2010 to support research infrastructure within the Department of Obstetrics, Gynecology & Reproductive Sciences (OB/GYN & RS) at Mission Bay. To date, PRISM has supported over 50 studies, providing comprehensive, on-the-ground research support across the full spectrum of clinical research activities and serving multiple faculty Principal Investigators (PIs). A parallel infrastructure support program has been established at Zuckerberg San Francisco General Hospital (ZSFG), currently supporting an average of 5–6 studies and serving as a base to facilitate research participation and enrollment for UCSF faculty conducting clinical research at ZSFG.

The Maternal-Fetal Medicine Units (MFMU) Network collaboration was established at UCSF in 2023 under the leadership of the PRP Director. Originally founded in 1986, the MFMU Network conducts large-scale perinatal studies to improve maternal and fetal outcomes. Funded by the NIH Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), the network includes 14 clinical centers and a data coordinating center. PRP currently participates in three ongoing randomized clinical trials within the MFMU Network, with two additional trials anticipated to begin in 2026.

The Fetal Sequencing Program (FSP) represents another major component of PRP and positions UCSF as one of the national leaders in the field of perinatal genetics. Supported by NIH and philanthropic funding, this program provides advanced prenatal diagnostic services, including clinical exome and genome sequencing for a wide range of fetal conditions. FSP, with its multiple ongoing studies and extensive database also serves as a hub for UCSF learners (e.g. medical students, residents and fellows)

The fourth component, Perinatal Clinical Research (PRC) , encompasses a diverse portfolio of studies funded by NIH, PCORI, philanthropy and industry sponsors. PRC includes large multicenter randomized controlled trials, long term follow up studies, industry sponsored studies, prenatal diagnostic development, and other treatment studies.

Collectively, the PRP portfolio includes approximately 25 active studies with total funding of approximately $7 million.

Department Overview

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 Department has 134 full-time faculty, 117 other academic appointees, 13 post-doctoral fellows, 22 clinical fellows, 32 residents, 138 voluntary clinical faculty and 270 staff.

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. We are committed to providing quality health care services; educating health care providers and investigators; and conducting research to advance knowledge in our field.

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 to initiate the interactive process.

Note: If this is a reclassification request or a replacement with significant changes, please briefly describe (no more than 2 paragraphs) the significant changes that have taken place since the position was last reviewed. Additionally, please provide a copy of the former job description for the position.

%

of time

Essential Function (Yes/No )

Key Responsibilities

(To be completed by Supervisor)

30

YES

Research Data Management:

Independently manage research data across multiple PRP research 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 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.

25

YES

Research Study Monitoring and Evaluation

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.

20

YES

Data Analysis and Reporting

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.

10

YES

Data Quality Assurance

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.

5

YES

Training and Consultation

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.

5

YES

Research Data Systems Innovation

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.

5

YES

Professional Responsibilities

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.

100% (To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.)

Required:

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.

Preferred:

Masters degree in a related area

Experience to evaluate, implement, and optimize emerging technologies, including electronic health record (Epic) integrations, business intelligence tools, workflow automation, and Artificial Intelligence (AI) applications that improve research operations and data management.

Experience applying epidemiological methods to research data analysis.

Proficient skills in project management.