Statistician and Data Scientist

Role Overview

Tanaq Management Services (TMS) is seeking a Statistician and Data Scientist to provide expert statistical and data science support to the Global Health Center (GHC), Division of Global HIV and TB (DGHT) at the Centers for Disease Control and Prevention (CDC). The role involves advanced statistical analysis, sampling and survey design, population size and incidence estimation, network and RDS methods, resource allocation analytics, and data management and documentation.

What You Will Do

Perform advanced analysis of HIV- and TB-related data, design sampling plans, develop methods for population size estimation, produce estimators and tools for complex network data and RDS, build models for resource allocation, and develop open-source R packages and web applications.

Why It Might Be a Fit

The ideal candidate will have a minimum of 10 years of experience as a statistician or data scientist, with expertise in complex survey analysis, RDS, population size estimation, longitudinal and multi-level analysis, and time-to-event analysis. They will also have experience with SQL, Stata, SAS, or SPSS, and use of Git/GitHub, Quarto, and Shiny.

Requirements

• A minimum of 10 years of statistician or data scientist experience
• Expert knowledge of complex survey analysis, RDS, population size estimation, longitudinal and multi-level analysis, and time-to-event analysis
• Expert programming in R and Python
• Experience with SQL, Stata, SAS, or SPSS
• Use of Git/GitHub, Quarto, and Shiny
• Record of peer-reviewed publications in statistics, epidemiology, or machine learning
• Ability to explain complex methods to technical and non-technical audiences
• Ability to telework from within the US, work core hours, and travel domestically on an ad hoc basis
• Ability to obtain government clearance
• Must be legally authorized to work in the United States without the need for employer sponsorship

Tagged as: Python, SQL