North Carolina Department of Agriculture and Consumer Services logo
North Carolina Department of Agriculture and Consumer Services
Posted 34 days agoVerified live 2d ago

Data Science and Informatics Specialist 2 (DSIS2/SPI)

Brief overview

Remote
MastersOr in progress
$96k–$129k/yrStated range
2+ yrsMinimum
Health Care DataData ScienceData VisualizationSQLRSASM CodePythonStatistical AnalysisMachine LearningData ModelingData CleaningWritten and Verbal Communication

About the company

North Carolina Department of Agriculture and Consumer Services logo
North Carolina Department of Agriculture and Consumer Servicesncagr.gov

The N.C.

Job description

Summary

The Washington State Health Care Authority's DATA section leads agency data strategy and develops data management, analytics, and reporting systems. The Data Science and Informatics Specialist 2 will build data capabilities supporting the 340B Drug Pricing Program, including health care analytics, statistical modeling, data visualization, validation, and communication of findings to varied audiences.

Responsibilities

  • 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

Skills

  • Master's degree in informatics, data science, mathematics, computer science, statistics, biostatistics, epidemiology, or related technical or quantitative field
  • Bachelor's degree in informatics, data science, mathematics, computer science, statistics, biostatistics, epidemiology, or related technical or quantitative field, and
  • Two (2) years of professional experience performing data science or informatics data work, within health care, public health, and/or behavioral health, working with complex analytics, data visualization software and R, SAS, SQL, M code and/or Python programming
  • Associate degree in informatics, data science, mathematics, computer science, statistics, biostatistics, epidemiology, or related technical or quantitative field, and
  • Four (4) years of professional experience performing data science or informatics data work, within health care, public health, and/or behavioral health, working with complex analytics, data visualization software and R, SAS, SQL, M code and/or Python programming
  • Six (6) years of professional experience performing data science or informatics data work, within health care, public health, and/or behavioral health, working with complex analytics, data visualization software and R, SAS, SQL, M code and/or Python programming
  • The ability to take action to learn and grow
  • The ability to take action to meet the needs of others
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Demonstrated understanding of health care data
  • Intermediate to proficient professional skills with SQL
  • Intermediate to proficient professional skills with Tableau, Power BI, or similar data visualization tools
  • Professional experience managing data from submission to reporting, including data cleaning
  • Professional experience with pharmacy and/or drug-related data
  • Professional experience communicating with internal and external stakeholders
  • Knowledge of medical and/or pharmacy coding such as ICD-10, Current Procedural Terminology (CPT) and Healthcare Common Procedure Coding System (HCPCS) codes; health care business and systems; research methods; advanced statistical theory and techniques
  • Comfortable interacting with staff members at all levels of the agency; high level of workload management including organization and prioritization of tasks; ability to work effectively in a multi-disciplinary team; excellent written and verbal communication skills
  • Advanced experience working with large and complex data sets; advanced level SQL, R, Python, SAS, M code or other programming skills; experience with data visualization using Power BI, Tableau and other similar visualization tools

Qualifications

Must Haves

  • Master's degree in informatics, data science, mathematics, computer science, statistics, biostatistics, epidemiology, or related technical or quantitative field
  • Bachelor's degree in informatics, data science, mathematics, computer science, statistics, biostatistics, epidemiology, or related technical or quantitative field, and
  • Two (2) years of professional experience performing data science or informatics data work, within health care, public health, and/or behavioral health, working with complex analytics, data visualization software and R, SAS, SQL, M code and/or Python programming
  • Associate degree in informatics, data science, mathematics, computer science, statistics, biostatistics, epidemiology, or related technical or quantitative field, and
  • Four (4) years of professional experience performing data science or informatics data work, within health care, public health, and/or behavioral health, working with complex analytics, data visualization software and R, SAS, SQL, M code and/or Python programming
  • Six (6) years of professional experience performing data science or informatics data work, within health care, public health, and/or behavioral health, working with complex analytics, data visualization software and R, SAS, SQL, M code and/or Python programming
  • The ability to take action to learn and grow
  • The ability to take action to meet the needs of others
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Nice to Haves

  • Demonstrated understanding of health care data
  • Intermediate to proficient professional skills with SQL
  • Intermediate to proficient professional skills with Tableau, Power BI, or similar data visualization tools
  • Professional experience managing data from submission to reporting, including data cleaning
  • Professional experience with pharmacy and/or drug-related data
  • Professional experience communicating with internal and external stakeholders
  • Knowledge of medical and/or pharmacy coding such as ICD-10, Current Procedural Terminology (CPT) and Healthcare Common Procedure Coding System (HCPCS) codes; health care business and systems; research methods; advanced statistical theory and techniques
  • Comfortable interacting with staff members at all levels of the agency; high level of workload management including organization and prioritization of tasks; ability to work effectively in a multi-disciplinary team; excellent written and verbal communication skills
  • Advanced experience working with large and complex data sets; advanced level SQL, R, Python, SAS, M code or other programming skills; experience with data visualization using Power BI, Tableau and other similar visualization tools

Benefits

  • This position is eligible to telework and is typically not required to report on-site.
  • A healthy work/life balance, including alternative/flexible schedules and mobile work options.
  • Meaningful work with friendly co-workers who care about those we serve.
  • A safe, pleasant workplace in a convenient location with restaurants and shopping nearby.
  • Free parking.
  • For typical full-time employees expected to work more than six months: medical insurance, including vision, for employees and their families.
  • For typical full-time employees expected to work more than six months: dental insurance for employees and their families.
  • For typical full-time employees expected to work more than six months: basic life insurance for employees and their families.
  • Multiple medical plans with affordable monthly premiums and coverage throughout the state.
  • Annual enrollment in a medical flexible spending account using tax-deferred dollars toward health care expenses.
  • Long-term disability insurance, with the option to purchase additional coverage amounts.
  • Washington Wellness workplace wellness programs.
  • Dependent care assistance allowing employees to save pre-tax dollars for child or elder care expenses.
  • Auto, boat, home, and renter insurance available through payroll deduction.
  • Washington State Employee Assistance Program supporting employee health and well-being.
  • Membership in the Washington Public Employees' Retirement System (PERS).
  • New employees have the option of two employer-contributed retirement programs.
  • Deferred Compensation Program, a supplemental retirement savings program with pre-tax salary deferral and multiple investment options.
  • Coverage by the federal Social Security and Medicare systems, with the state and employee paying equal amounts into the system.
  • Potential eligibility for student loan forgiveness under the Public Service Loan Forgiveness Program for employees who meet the qualifying criteria and are employed by a government or not-for-profit organization.
  • Paid holidays and one paid personal holiday per calendar year for full-time and part-time employees.
  • Additional personal leave day(s) may be available to employees who are members of certain unions, subject to applicable collective bargaining agreements.
  • Full-time employees who work full monthly schedules qualify for holiday compensation subject to the stated pay-status requirements.
  • Full-time employees earn eight hours of sick leave per month, subject to the stated pay-status requirements.
  • Part-time employees accrue sick leave proportionately to their hours in pay status.
  • Full-time employees accrue vacation leave at the rates specified in WAC 357-31-165(1) or the applicable collective bargaining agreement.
  • Part-time employees accrue vacation leave on a pro rata basis in accordance with WAC 357-31-165(1) or the applicable collective bargaining agreement.
  • Vacation leave accrual rates may be accelerated or a lump-sum accrual may be authorized for a Washington Management Service position to support recruitment or retention, as provided by WAC 357-58-175.
  • 21 days of paid military leave per year for members of the armed forces.
  • Five days of paid bereavement leave for most employees whose family or household member dies, or for loss of pregnancy.
  • Other available leave types may be approved for bereavement leave.
  • Leave sharing.
  • Parental leave.
  • Family and Medical Leave Act (FMLA) leave.

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