Research Data Analyst II

Job Function Summary

• Involves gathering, analyzing, and interpreting a wide variety of research data.
• Designs and conducts research including selecting data samples, developing
• research instruments, analyzing collected information according to established
• statistical methods, and developing recommendations based on research findings.
• Prepares reports, charts, tables, and other visual aids to interpret and
• communicate data and results.

Generic Scope

• Professional who applies acquired job skills, policies, and procedures to
• complete substantive assignments / projects / tasks of moderate scope and
• complexity; exercises judgment within defined guidelines and practices to
• determine appropriate action.

Custom Scope

• This is a part-time (50% FTE) Research Data Analyst position supporting two
• investigators conducting research on substance use, addiction, and harm
• reduction services across diverse clinical and community settings. The analyst
• will contribute to multiple research projects, with a primary focus on data
• management, statistical analysis, interpretation, and visualization.

• The ideal candidate will have training or experience in epidemiology, public
• health, biostatistics, or a related field, and mixed-methods research skills.
• Experience working with both large and small datasets, including data cleaning,
• preparation, management, sycronization, and statistical analysis, is required.
• Proficiency in R is strongly preferred, particularly for statistical analysis
• and data visualization, and experience with ArcGIS is desirable. Knowledge of or
• experience working with harm reduction programs, substance use treatment
• settings, low-barrier clinics, or populations affected by substance use is
• preferred. The successful candidate should be comfortable working
• collaboratively across multiple projects and investigators and translating
• analytic findings into clear tables, figures, presentations, and manuscripts.

Department Overview

• The Division of Prevention Science is a leading force in prevention research
• innovation. We conduct transformative research, bridging communities and
• overcoming health inequities through high-impact prevention. The division was
• established within the Department of Medicine in 1991 and is the administrative
• home of the Center for AIDS Prevention Studies (CAPS), and the Prevention
• Research Center (PRC). The division is committed to advancing knowledge in
• prevention and has extensive expertise in social and behavioral research applied
• to prevention science and the development of effective prevention interventions
• across several disease domains. The research focus is risk behavior and
• reduction; epidemiology of the virus; evaluation of HIV testing procedures,
• demographic variables and sexual self-identification; and training for providers
• who care for HIV AIDS patients. While much of the work in DPS has traditionally
• focused on HIV/AIDS, many investigators are doing important work in other fields
• including cardiovascular disease, cancer, mental health, and substance abuse.
• The Division is composed of approximately 35 academics (faculty, fellows and
• specialists) and 45 non-academic staff who come from a variety of social,
• behavioral and policy science academic disciplines, including psychology,
• sociology, anthropology, epidemiology, history, political science, economics,
• demography, nursing, pharmacy and statistics.

• The Division is home to three federally funded research centers that provide
• valuable infrastructure support: 1) The Center for AIDS Prevention Studies,
• funded by the National Institute of Mental Health; 2) The UCSF Prevention
• Research Center, funded by the Centers for Disease Control and Prevention; 3)
• three evaluation centers funded by the Health Resources and Services
• Administration; and 4) a newly-funded research coordinating center to reduce
• disparities in multiple chronic diseases, funded by the National Institute on
• Minority Health and Health Disparities. The Division is also home to the Center
• of Excellence for Transgender Health and over 100 active sponsored research
• projects.

RESPONSIBILITIES

Statistical Analysis and Data Visualization

• Conducts statistical studies in support of research proposals and protocols
• using statistical software packages R and ArcGIS. Provides data visualization
• summaries and updates for research teams.

Research Data Management and Analysis

• Manages and analyzes research data based on pre-specificed research questions in
• order to draw preliminary conclusions.

• Sycronize datasets, clean data, detect missing data, conduct sensativity

analysis, and draft results.

Reporting and Analysis

• Prepares reports and / or analyses for internal department constituents.
• Draft descriptive reports using graphics and tables.

Qualitative and Quantitative Data Integration

• Integrates qualitative and quantitative data findings, draws preliminary
• conclusions and applies data visualization tools to convey findings.

Research Design and Implementation

• Collaborates on the design, documentation, testing and implementation of
• research questions.

• Literature reviews, documentation for surveys, testing data collection

instruments, and administering surveys.

QUALIFICATIONS

• Required Qualifications
• Experience conducting epidemiological studies using large and small datasets,

and working knowledge of research function.

• Working skills in statistical analysis, systems programming, database design

and data security measures.

• Experience in data management and analysis using R and geospatial analysis

using ArcGIS software programs.

• Communicates complex information in a clear and concise manner both verbally

and in writing.

• At least one year of experience working with harm reduction organizations,

• treatment center or low barrier clinics that serve people with a substance
• use disorder.

Preferred Qualifications

• Working skills in conducting interviews and administering surveys (data

collection).

• Experience working on mixed methods studies that integrates qualitative and

quantitative datasets.

Required Education

• Bachelor's degree in related area and / or equivalent experience / training.

Preferred Education

• Master’s degree in biostatistics, epidemiology or another closely related

field.

Licenses

None listed.

Certifications

None listed.