Data Analyst

University of California San Francisco • San Francisco, CA

6d • $34 - $74

About The Position

The Data Analyst will be the analyst for a cluster randomized trial of a food security intervention among adults living with HIV. In this role, they will conduct data management and analysis with a moderate degree of independence, demonstrating good judgment in selecting methods and techniques for obtaining solutions under the guidance of senior statistical experts. The Data Analyst will use research professional skills for multiple areas of inquiry, displaying intermediate understanding of statistical analyses and research software programming techniques. The Data Analyst will contribute to conducting a range of intermediate programming, analytic and coordination activities that require some prior scientific training and related experience. Content areas will primarily cover quantitative data management and analysis, which requires prior training and knowledge. They should have both academic and some job-related experience working in Stata, R, or similar software to accomplish data management and analytic tasks; as well as REDCap. The Data Analyst will have primary responsibility for creating timely, accurate weekly reports summarizing study progress, including study retention reports, intervention engagement reports, tracking adverse events, and others as needed. They will help develop and have primary responsibility for implementing data quality assurance processes. The Data Analyst will implement pre-analysis preparation of data, including data cleaning, coding, and development of scales and testing of internal reliability, proactively ensuring high data quality. They will be responsible for assembling study datasets for analysis and reporting purposes, conducting standard procedures to ensure these datasets are complete and accurate. The Data Analyst should be moderately familiar with advanced statistical procedures used to work with multivariable and longitudinal data for both observational and intervention studies (e.g., RCTs) and be prepared to further develop these on the job. The Data Analyst should be able and willing to take an active role in discussions of the pros and cons of these various strategies in a collaborative environment, considering both academic rigor and real-world analytic needs, and contribute to recommendations for statistical approaches. For all analyses, the Data Analyst will contribute to the interpretation of study results and develop recommendations based on study findings in collaboration with research team members. The individual will also make independent contributions at an intermediate level to writing both grants and manuscripts for publication. The Data Analyst will also contribute to data-related study coordination and administration tasks, including providing accurate, user-friendly data tables and other necessary materials for progress reports, DSMB meetings, and other reporting purposes. The Data Analyst will interface with academic and/or community research partners around data-related issues and topics. Thus, in addition to the skills required for the analytic tasks, strong interpersonal and communication skills and a collaborative nature are needed. The Data Analyst will be expected to exercise independent judgement to make decisions in areas that fall within standard guidelines and practices. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $34.48 - $74.04 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Requirements

• Bachelor's degree in related area and one or more years of relevant experience and / or equivalent experience / training
• Working knowledge of research function, specifically planning, execution and analysis of clinical trials of social, behavioral or economic interventions
• Working skills associated with statistical analysis of intervention studies, and systems programming to maintain study databases and conduct analyses
• Skills in project management
• Working knowledge of and some experience using Stata, R or other similar statistical software to manage, clean, analyze, and present data, and Microsoft suite
• Working knowledge to implement statistical methods including random, mixed and individual fixed effects regressions to analyze clustered and/or longitudinal data, with continuous, dichotomous, categorical, and/or zero-inflated outcomes, including testing model assumptions and identifying solutions related to common data issues including missing or skewed data.
• Willingness to learn on the job to fill in areas of less knowledge to implement statistical methods
• Ability to work well independently, complete projects in a timely manner, and prioritize multiple projects to ensure the completion of essential tasks by deadlines
• Attention to detail; strong interpersonal skills; excellent, effective verbal and written communication skills to coordinate with subjects, team members, other departments and outside institutions

Nice To Haves

• Master’s degree in a related field of study with coursework and applied knowledge pertaining to epidemiology, biostatistics, behavioral sciences, quantitative research, and/or public health
• CITI Certified
• Working experience creating, maintaining and running reports from research databases (e.g., REDCap)
• Skills to communicate complex information in a clear and concise manner both verbally and in writing
• Experience with research dissemination (e.g., authoring, coauthoring or contributing to scientific journal manuscripts, internal reports, and other documents disseminating research results), and demonstrated writing skills in a science/research environment
• Experience with preparing materials for oversight or stakeholder bodies, such as a Data and Safety Monitoring Board (or other similar body), Institutional Review Boards, advisory boards, or study co-Investigator including reports on study progress, recruitment and protocol deviations, and data-related updates
• Experience with research focusing on social, structural, and economic drivers of health, particularly in the context of HIV, diabetes and/or chronic diseases. Specific experience with food insecurity measures and data a bonus
• The ability to multi-task in a fast-paced environment while working with a diverse study population.
• Ability to effectively solve logistical issues, adjust in real time, proactively identify issues and suggest solutions on how to make projects run more smoothly
• Spanish language skills

Responsibilities

• Creating timely, accurate weekly reports summarizing study progress, including study retention reports, intervention engagement reports, tracking adverse events, and others as needed.
• Help develop and have primary responsibility for implementing data quality assurance processes.
• Implement pre-analysis preparation of data, including data cleaning, coding, and development of scales and testing of internal reliability, proactively ensuring high data quality.
• Responsible for assembling study datasets for analysis and reporting purposes, conducting standard procedures to ensure these datasets are complete and accurate.
• Contribute to the interpretation of study results and develop recommendations based on study findings in collaboration with research team members.
• Make independent contributions at an intermediate level to writing both grants and manuscripts for publication.
• Contribute to data-related study coordination and administration tasks, including providing accurate, user-friendly data tables and other necessary materials for progress reports, DSMB meetings, and other reporting purposes.
• Interface with academic and/or community research partners around data-related issues and topics.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees