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:

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).