Overview

Tanaq Management Services (TMS) delivers professional, scientific, and technical services and information technology (IT) solutions to federal agencies in health, agriculture, technology, and other government services. TMS is a subsidiary of the St. George Tanaq Corporation, an Alaskan Native Corporation (ANC) committed to serving Federal customers while also giving back to the Tanaq native community and shareholders.

About the Role

We are 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

This is a hybrid remote position based in the United States. Some ad hoc domestic (U.S.) travel may be required.

Responsibilities

• Advanced statistical analysis: Perform advanced analysis of HIV- and TB-related data, including complex sample survey, longitudinal, multi-level, RDS, population size estimation, and time-to-event analysis, using R, Stata, RDS-Analyst, and Python.
• Sampling and survey design: Design sampling plans and estimation approaches for surveillance and surveys, including continuous facility-based alternatives to periodic behavioral surveys, and lead analysis workshops with country teams.
• Population size and incidence estimation: Develop and apply methods for population size estimation (including Bayesian synthesis, latent class, and network-based approaches) and for HIV incidence estimation from recency assay and testing history data, with simulation-based accuracy evaluation.
• Network and RDS methods: Produce estimators and tools for complex network data and RDS, including improved point and variance estimators, and field-friendly tools for implementing network designs.
• Resource allocation analytics: Build models that allocate testing resources by predicted yield and support program planning and forecasting across countries.
• Tools and applications: Develop open-source R packages, Shiny and web applications, dashboards, and reports (for example Quarto) so CDC staff and countries can run advanced methods themselves; maintain hosted public health web applications.
• Data management and documentation: Manage and combine datasets, review data quality, and document variables, data dictionaries, and metadata with version control in GitHub; support countries in routine data submission and data quality review.
• Data science methods: Apply machine learning, simulation, forecasting, clustering, and Bayesian estimation to PEPFAR/AFGHS data, using R, Python, and related tools.
• Publications and presentations: Prepare technical reports, abstracts, protocols, and peer-reviewed manuscripts; review and improve scientific documents; and work with CDC principals on papers and clearance.
• Training and capacity building: Design and deliver short courses on statistical topics and software to CDC staff, including international training that is delivered virtually or through domestic sessions.
• AI upskilling and responsible use: Lead seminars, office hours, and a user group on practical AI for CDC staff; write guidance for approved AI tools; and build AI connectors and skills for diagnostics and report building, with human review of outputs.

Required Experience and Skills

• A minimum of 10 years of statistician or data scientist experience, including public health surveillance, survey sampling, and estimation methods for HIV, TB, or other health programs.
• 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; and 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 and to train staff.
• 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, now or at any time in the future.

Preferred Qualifications

• Experience with PEPFAR, CDC, or other global health surveillance programs, including methods used in routine practice by country programs.
• Authorship of open-source statistical packages or applications used by public health agencies.
• Experience with mathematical modeling (SI, SIR, SEIR, agent-based) and machine learning methods.
• Experience building and teaching AI-assisted workflows, including approved generative AI tools, with attention to responsible use.
• Experience with CDC clearance processes for publications and software releases.
• Knowledge of R (RDS, RDS2, pnspop, Rcpp, Shiny, Quarto), Python, C++, Java, Kotlin/Jetpack Compose, Node.js, SQL, Stan, LaTeX, Git, Docker; Spark, HBase, Kafka; SAS, SPSS, Stata. AI: Claude, ChatGPT, Codex, MCP.

Education and Training

• Doctoral degree (Ph.D.) in Statistics, Biostatistics, or a closely related quantitative field. A master's degree with substantial additional experience may be considered;

Physical Requirements

• Prolonged periods of sitting at a desk and working on a computer.
• May occasionally need to lift up to 25 pounds.

Who We Are

Tanaq Management Services (TMS) strives to deeply understand and analyze our clients’ vision, needs, and requirements so we may provide alternative solutions, empowering them to choose the best resolution. We aim to achieve excellence by delivering on our commitments to our clients, employees, and partners.

Our Commitment to Non-Discrimination

Tanaq Management Services is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local law. Tanaq complies with the Drug-free Workplace Act of 1988 and E-Verify.

If you are an individual with a disability and need assistance completing any part of the application process, please email accommodation@tanaq.com to request a reasonable accommodation. This email is for accommodation requests only and cannot be used to inquire about the status of applications.

Notice on Candidate AI Usage

Tanaq is committed to ensuring a fair and competitive interview process for all candidates based on their experience, skills and education. To ensure the integrity of the interview process, the use of artificial intelligence (AI) tools to generate or assist with responses during phone, in person and virtual interviews is not allowed. However, candidates who require a reasonable accommodation that may involve AI are required to contact us prior to their interview at accommodation@tanaq.com.

To apply for this and other positions with our company, visit:

https://recruiting.paylocity.com/recruiting/jobs/All/6357ebaa-7c82-4e63-88fc-2fa1c293d1c0/Tanaq-Management-Services-LLC