The Tennessee Department of Health (TDH) collects a variety of public health data and information. These data are collected and used by TDH programs for public health activities, such as surveillance, response, prevention, treatment, research, and reporting.

These data are also used by people and organizations within and outside of TDH to support a wide array of public health activities. The Data Governance Program within TDH manages processes and tools that facilitate the sharing of data across the Tennessee Department of Health and with our stakeholders/partners while providing for the security, privacy, and confidentiality of citizens. As a member of the Data Governance team, this individual will work with administrators and fellow epidemiologists to evaluate incoming data requests and outgoing data release decision making.

Key Responsibilities: - Apply statistical knowledge to data analyses. - Conduct disclosure risk assessments for data requests, data presentations, summaries, reports for various offices and divisions. - Provide consultations with determination and recommendations on risk assessment for data release.

- Knowledge of the Health Insurance - Portability and Accountability Act (HIPAA) Privacy - Rule and its requirements relating to uses and disclosures of protected health information and Personally Identifiable Information. - Experience with methods for De-identification of Protected Health Information in accordance with HIPAA: o Safe Harbor o Expert Determination Knowledge of generally accepted statistical and scientific principles and methods for rendering information not individually identifiable: o Applying such principles and methods, to determine that the risk is very small that the information could be used, alone or in combination with other reasonably available information, by an anticipated recipient to identify or re-identify an individual who is a subject of the information; and o Documenting the methods and results of the analysis that justify such risk determination. -Excellent written and oral communication skills. -Strong knowledge of Microsoft Office Suite. -Able to work independently and as part of a team. -Understanding and use of data visualization analytic techniques and statistical software tools (SAS, SPSS, R, REDCap, GIS, Tableau, and Python). - Detail oriented and critical thinker. - Curious and willing to learn. - Experience with use of unique identifier techniques in data linkage and deterministic and probabilistic matching –essential techniques and best practices. - Familiarity with spatial aggregation and geographic aggregation – GIS application use and capacity. - Artificial Intelligence and Machine Learning Language basics, use and application a plus.