Data Science and Informatics Specialist 2

This position utilizes mathematics, statistics, specialized programming, analytics, and machine learning to extract knowledge from structured and unstructured health care data. As an experienced data scientist, the position focus is on creating intermediate data analytics, applying statistical techniques, and developing data visualizations in support of the 340B Drug Pricing Program. This position will support the development of actionable insights that can be used to improve health care outcomes, solve problems, meet reporting requirements and make informed policy decisions.

This position is eligible to telework and is typically not required to report on-site. The default assigned work location of all Health Care Authority (HCA) positions - both on-site and telework eligible positions - is within the State of Washington. This position reports to Olympia, WA. Frequency of onsite work will vary based on business and operational needs. All agency employees are required to report on-site in Olympia on their first and last days of employment to pick up and return state-issued equipment, regardless of telework status or location.

Duties
Some of what you will do:
Use health care claims and supplementary data sources to design and develop health care reporting and visualizations for the 340B Drug Pricing Program to help the agency make data-driven decisions.
Generate data products from structured and unstructured data sources using programming languages such as R, SAS, SQL, M code, and/or Python to write data code/query scripts.
Develop algorithms, build data models, and automate data processing tasks.
Combine multiple data formats and sources such as health care claims, medical records, surveillance data, surveys, and/or pharmacy data to meet analytic project requirements.
Develop health care data science modeling, evaluation, research, and statistical analysis for the 340B Drug Pricing Program.
Use quantitative research methods commonly used in scientific, surveillance, and/or epidemiological research to analyze and interpret data.
Use statistical analysis techniques to find patterns, trends, and conclusions.
Draft proposal plan and support implementation activities for statistical analysis such as regression analysis, clustering, or time series analysis.
Partner with requestors to develop and/or translate data requests into analytic projects supporting the 340B Drug Pricing Program.
Collaborate with others to gather, prioritize, and validate requirements.
Provide consultation to data requestors and data users regarding data access, feasibility, statistical validity, etc.
Work with appropriate business analysts or business owners to determine resolution of complex issues.
Monitor, address, and/or provide consultation for changes, gaps, and other impacts to the 340B Drug Pricing Program data sources and infrastructure.
Conduct data validity checks to identify and report errors and anomalies in the data.
Develop, interpret, communicate, and present data science findings to a variety of audiences, including colleagues, policymakers, and the public.