E Data Analyst - Rollins School of Public Health Emory University Remote Remote →

ZipApply; Atlanta (GA); Hybrid; USD 65,000 - 85,000; Full time

Job summary

Emory University’s Rollins School of Public Health seeks a Data Analyst to work on NIH-funded HIV prevention studies across local and international settings. You will manage data dictionaries, perform data cleaning, and assist with advanced analyses for PREMISE, MISTR+ and Elección projects, collaborating with researchers and co-authors.

The role is based in Atlanta, GA with a mix of on-site and remote work, offering opportunities to contribute to scientific manuscripts and presentations at

Qualifications

• Bachelor's degree in data analysis, statistics, or a related field.
• Master's degree preferred in Epidemiology, Biostatistics or related quantitative field.
• Experience with quantitative data analysis and statistical software.

Responsibilities

• Creates and maintains a data dictionary and metadata.
• Supports data standards development and maintenance.
• Ensures accurate uses of data in reports and queries.
• Supports architecture development to define future data needs.
• Serves as an organizational consultant on databases.

Skills

Data analysis

Statistics

SAS

R

Scientific writing

Data management

Team collaboration

Education

Bachelor's degree in a related field

Master's degree in Epidemiology/Biostatistics

Tools

SAS

R

Job description

Job Number: 170084 Department: SPH: Epidemiology Remote Work Classification Hybrid Remote Health and Safety Information Not Applicable Discover Your Career at Emory University Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community. Description The research team of Dr. Aaron Siegler (Bio: https://sph.emory.edu/profile/faculty/aaron-siegler) in the Epidemiology Department at Emory University is seeking to hire a Data Analyst to work on several NIH-funded studies in HIV prevention epidemiology and digital health intervention research across local and/or international settings. These studies include: 1. Establishing a PrEP Epidemiology, Modeling and Surveillance System (PREMISE), a study to support the development of consistent national HIV Pre-ExposureProphylaxis (PrEP) data to describe its patterns of use, and to understand which programs and policies are effective at facilitating PrEP uptake in the US. 2. Improving telePrEP initiation and retention outcomes in the US: The MISTR+ study, an NIH-funded series of clinical trials to support the development of low-touchinterventions (such as tailored messaging) and testing their effectiveness on PrEP initiation and retention outcomes. 3. The Elección (Choice) Cohort: Developing and testing a scalable, platform-agnostic digital intervention in Peru, an NIH-funded clinical trial to improve understanding of the factors associated with HIV acquisition and PrEP uptake; and evaluate the preferences for and effectiveness of an adapted digital health messaging intervention (mHealth) among men in Peru.

KEY RESPONSIBILITIES

• Creates and maintains a data dictionary and meta data.
• Supports efforts to ensure that data standards are developed and maintained.
• Ensures that the uses of data through reports and queries are accurate.
• Supports business and system re-engineering and architecture development to define future data needs.
• Serves as an organizational consultant on matters relating to databases by providing expertise to assist users in meeting their needs.
• Performs other related duties as required. ADDITIONAL JOB DETAILS: The Data Analyst will have the opportunity to work on multiple projects as described above, with specific work distribution depending on experience and interests. The Data Analyst may have the opportunity to contribute to other ongoing projects in Dr. Siegler's research lab, co-author manuscripts, and present scientific work at national/international scientific conferences if interested.

Key responsibilities

• Work closely with the Principal Investigator in all aspects of the research
• Develop data collection systems
• Conduct data cleaning and codebook development
• Monitor study data and provide biweekly updates to the study team on accumulating data
• Prepare analysis datasets and documentation
• Facilitate study analysis and assist faculty and post-docs in data analysis activities, including table and figure development for manuscripts
• Contribute to quantitative research efforts in the field of HIV epidemiology and prevention
• Apply statistical models and use statistical software to derive quantitative research findings
• Work as part of a team to develop scientific data from various data sources
• Contribute as co-author to manuscripts
• Contribute to data visualization output to disseminate study findings The position will be based at Emory University in Atlanta, Georgia. The initial appointment is for 2 years, and renewal is anticipated if performance is satisfactory and funds remain available. Detailed Project Description: PREMISE To reach Ending the Epidemic (ETE) targets, we will need consistent national HIV pre-exposure prophylaxis (PrEP) data to describe patterns of use and to understand which programs and policies are effective at facilitating PrEP uptake. This NIH-funded study aims to build on our history of developing public PrEP data resources and innovative metrics of PrEP use in PREMISE (PrEP Epidemiology, Modeling, and Surveillance), a collaborative and interdisciplinary group that will use national PrEP data, along with legal and policy coding, to inform the US HIV epidemic response. The study will conduct analyses regarding the scope of PrEP scale-up over time and will perform analyses to explore the impact of different locality-specific programs and policies on PrEP use MISTR+ Our study (MISTR+) seeks to establish an evidence base for telehealth and improve health outcomes in terms of PrEP care initiation, retention, and re-engagement for the over 100,000 users of this service by (1) developing a series of low-touch interventions based on existing evidence and new data analyses of telePrEP electronic records data, (2) testing interventions, and (3) enhancing our understanding of intervention performance through machine learning and cost-effectiveness analysesthat will inform intervention prioritization. Elección The HIV epidemic in Latin America is concentrated among MSM. As the number of HIV prevention options grows, it is critical to build interventions that empower individuals to make HIV prevention choices that fit their lives; this requires delineating and addressing barriers, elucidating individual preferences, and providing accessible prevention options. Remote access to health services and information may overcome many challenges of traditional clinic service delivery models. TheElección study will improve our understanding of health determinants for HIV incidence and the prevention and care cascades in Peru. The study will build a cohort to assess HIV incidence and its predictors and to identify intervention preferences. We will adapt and test a digital intervention grounded in participant choice to improve HIV prevention service uptake. Specifically, we will develop an observational HIV incidence cohort (Aim 1), implement discrete choice experiments and use the ADAPT-ITT model to inform adaptation of an evidence-based intervention to the Peruvian setting (Aim 2), and transition cohort members into the clinical trial (Aim 3). Participants will be randomized to either the adapted version of the digital intervention (M-Cubicado) or to observation-only follow-up (standard of care).

MINIMUM QUALIFICATIONS

• A bachelor's degree and one year of experience in data analysis, statistics, or a related field, OR an equivalent combination of education, training, and experience.

PREFERRED QUALIFICATIONS

• Master's degree in Epidemiology, Biostatistics or other relevant quantitative field.
• Experience with quantitative data analysis.
• Experience using statistical software to derive quantitative research findings.
• Excellent scientific writing ability
• Experience in data management and analysis using SAS, R or other statistical software.
• Experience in analysis of clinical trial and/or national claims data.
• Experience in HIV prevention or digital health NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University on a flexible weekly schedule based upon business needs. Schedule is based on agreed upon guidelines of department. This role requires residency in the state of GA. Emory reserves the right to change remote work status with notice to employee. Additional Details Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: [phone] (V) | 404-712-2049 (TDD). Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at [e-mail] or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination. Full posting: https://www.higheredjobs.com/institution/details.cfm?JobCode=179505113&Title=Data%20Analyst%20%2D%20Rollins%20School%20of%20Public%20Health