%3Cp%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EThe Health Affairs Institute at West Virginia University is currently accepting applications for a (Hybrid) Research Associate Analyst.%26nbsp;%3C/span%3E%3C/p%3E%3Cp%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E%3Cstrong%3EAbout the Opportunity%3C/strong%3E%3C/span%3E%3C/p%3E%3Cp%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EThe Health Affairs Institute within the WVU Health Sciences Center provides organizational leadership for collaborative activities involving the Health Sciences Center, the West Virginia Department of Human Services (DoHS) and other partners. %26nbsp;These include, among others, providing data analytic support, program evaluation expertise, technical assistance, and project management support for the DoHS and other partners. With office locations in both Morgantown and Charleston, the Health Affairs Institute (HAI) employs over 50 full-time staff and engages numerous faculty and staff from other units of the University to fulfill its service mission to the state. %26nbsp;%3C/span%3E%3Cbr%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EThe Research Associate in Health Data Analytics is a key participant in the State-University partnership between the West Virginia University Health Sciences Center and the DoHS. Overarching responsibilities include working with the state to leverage their data and support analytic and policy needs, conducting relevant policy and evaluation research, participating in interdisciplinary research and evaluation teams, and providing oversight of associated data analysts. The successful Research Associate in Health Data Analytics will be data-driven with strong analytical skills and a proven record of finding insights in disparate data and effectively communicating that information to drive decision making.%26nbsp;%3C/span%3E%3C/p%3E%3Cp%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EWe strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including%5C:%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;37.5-hour work week%26nbsp;%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;13 paid holidays (%3C/span%3E%3Ca href=%22https%5C://talentandculture.wvu.edu/benefits-and-compensation/holiday-schedule%22%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3Estaff holiday calendar%3C/span%3E%3C/a%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E)%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;24 annual leave (vacation) days per year (%3C/span%3E%3Ca href=%22https%5C://talentandculture.wvu.edu/benefits-and-compensation/time-off/ee-leave%22%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3Eemployee leave%3C/span%3E%3C/a%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E)%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;18 sick days per year (for when you’re ill, for when you need time to care for sick family, for your own, or your family’s, regularly scheduled medical appointments. Who is family for the purpose of this leave? A lot of people in your life including immediate relatives and in-laws as well as others considered to be members of your household living under the same roof)%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;WVU offers a range of health insurance and other benefits%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;401(a) retirement savings with 6% employee contribution match, eligibility to continue health insurance, and other retiree perks. Looking for %3C/span%3E%3Ca href=%22https%5C://talentandculture.wvu.edu/benefits-and-compensation/retirement%22%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3Emore retirement benefits information%3C/span%3E%3C/a%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E? Check out retirement health insurance benefits, retirement income, and FAQ’s.%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;Wellness programs%3C/span%3E%3C/p%3E%3Cp%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E%3Cstrong%3EWhat You%27ll Do%3C/strong%3E%3C/span%3E%3C/p%3E%3Cul%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EUtilizes expertise in machine learning and advanced statistical methods to analyze data sources such as Medicaid Claims to generate evidence for policy interventions.%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EProvide guidance to teams in optimal and proper use if Artificial Intelligence in data analytics%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EOversees/provides mentorship other analysts as directed by the Director – Center for Measurement and Health Data Analytics%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EOversees the analyst training program by identifying training gaps/requirements and collaborates with the HAI Program Development and Management Office (PDMO) to procure and/or develop and lead training modules as directed by the Center for Measurement and Health Data Analytics.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3ELeads data risk assessments to mitigate and/or expose data quality and/or security issues in collaboration with the PDMO and Director of Health Information. %26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EIdentifies and troubleshoots unanticipated data problems or unexpected results and provides solutions to resolve identified concerns. %26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EProvides consultation, as needed, regarding optimal statistical methods and analysis designs. %26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EPerforms advanced statistical analysis with guidance from the Director – Center for Measurement and Health Data Analytics%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EProvides consultation and support for HAI project team members in data analysis and visualization best practices, and new and current technology. %26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3ELeads the development of detailed reports that can be readily understood, using best practices in data visualization and statistics.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EParticipates in high-level stakeholder meetings to understand stakeholder priorities and develop potential solutions as required.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EDevelops quality assurance processes and protocols in collaboration with the PDMO.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EConducts and overseas predictive data analytics using machine learning%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EConducts and overseas geo-spatial analytics%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EServes as an HAI representative and liaison to the DoHS for the planning and performance of projects, programs and activities involving health data analytics and program evaluation.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EFacilitates communication and efficient collaboration between research partners at the Health Affairs Institute and the staff of the DoHS.%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EEnsures that data analytic and research/evaluation activities are compliant with Health Affairs Institute and University-level policies for the responsible conduct of research as well as federal, and state policies.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EProvides consultation to faculty and government partners regarding preparation of research proposals, design and methodology, data analytics and interpretation of results.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EIdentifies opportunities for potential collaborations between the Health Sciences Center and the DoHS.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EPrepares reports as required by the University, the Health Sciences Center administration, and external agencies. Communicates results of analytic projects and program evaluations with relevant staff of the DoHS.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EConducts or directs special projects as assigned. Acts in other matters and capacities as delegated by the Center for Measurement and Health Data Analytics for the Health Affairs Institute.%26nbsp;%3C/span%3E%3Cbr%3E%3Cbr%3E%26nbsp;%3C/li%3E%3C/ul%3E%3Cp%3E%26nbsp;%3C/p%3E %3Cp%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EThe Health Affairs Institute at West Virginia University is currently accepting applications for a (Hybrid) Research Associate Analyst.%26nbsp;%3C/span%3E%3C/p%3E%3Cp%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E%3Cstrong%3EAbout the Opportunity%3C/strong%3E%3C/span%3E%3C/p%3E%3Cp%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EThe Health Affairs Institute within the WVU Health Sciences Center provides organizational leadership for collaborative activities involving the Health Sciences Center, the West Virginia Department of Human Services (DoHS) and other partners. %26nbsp;These include, among others, providing data analytic support, program evaluation expertise, technical assistance, and project management support for the DoHS and other partners. With office locations in both Morgantown and Charleston, the Health Affairs Institute (HAI) employs over 50 full-time staff and engages numerous faculty and staff from other units of the University to fulfill its service mission to the state. %26nbsp;%3C/span%3E%3Cbr%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EThe Research Associate in Health Data Analytics is a key participant in the State-University partnership between the West Virginia University Health Sciences Center and the DoHS. Overarching responsibilities include working with the state to leverage their data and support analytic and policy needs, conducting relevant policy and evaluation research, participating in interdisciplinary research and evaluation teams, and providing oversight of associated data analysts. The successful Research Associate in Health Data Analytics will be data-driven with strong analytical skills and a proven record of finding insights in disparate data and effectively communicating that information to drive decision making.%26nbsp;%3C/span%3E%3C/p%3E%3Cp%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EWe strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including%5C:%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;37.5-hour work week%26nbsp;%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;13 paid holidays (%3C/span%3E%3Ca href=%22https%5C://talentandculture.wvu.edu/benefits-and-compensation/holiday-schedule%22%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3Estaff holiday calendar%3C/span%3E%3C/a%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E)%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;24 annual leave (vacation) days per year (%3C/span%3E%3Ca href=%22https%5C://talentandculture.wvu.edu/benefits-and-compensation/time-off/ee-leave%22%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3Eemployee leave%3C/span%3E%3C/a%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E)%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;18 sick days per year (for when you’re ill, for when you need time to care for sick family, for your own, or your family’s, regularly scheduled medical appointments. Who is family for the purpose of this leave? A lot of people in your life including immediate relatives and in-laws as well as others considered to be members of your household living under the same roof)%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;WVU offers a range of health insurance and other benefits%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;401(a) retirement savings with 6% employee contribution match, eligibility to continue health insurance, and other retiree perks. Looking for %3C/span%3E%3Ca href=%22https%5C://talentandculture.wvu.edu/benefits-and-compensation/retirement%22%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3Emore retirement benefits information%3C/span%3E%3C/a%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E? Check out retirement health insurance benefits, retirement income, and FAQ’s.%3C/span%3E%3Cbr%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E•%26nbsp;%26nbsp;%26nbsp;%26nbsp;Wellness programs%3C/span%3E%3C/p%3E%3Cp%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3E%3Cstrong%3EWhat You%27ll Do%3C/strong%3E%3C/span%3E%3C/p%3E%3Cul%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EUtilizes expertise in machine learning and advanced statistical methods to analyze data sources such as Medicaid Claims to generate evidence for policy interventions.%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EProvide guidance to teams in optimal and proper use if Artificial Intelligence in data analytics%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EOversees/provides mentorship other analysts as directed by the Director – Center for Measurement and Health Data Analytics%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EOversees the analyst training program by identifying training gaps/requirements and collaborates with the HAI Program Development and Management Office (PDMO) to procure and/or develop and lead training modules as directed by the Center for Measurement and Health Data Analytics.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3ELeads data risk assessments to mitigate and/or expose data quality and/or security issues in collaboration with the PDMO and Director of Health Information. %26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EIdentifies and troubleshoots unanticipated data problems or unexpected results and provides solutions to resolve identified concerns. %26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EProvides consultation, as needed, regarding optimal statistical methods and analysis designs. %26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EPerforms advanced statistical analysis with guidance from the Director – Center for Measurement and Health Data Analytics%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EProvides consultation and support for HAI project team members in data analysis and visualization best practices, and new and current technology. %26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3ELeads the development of detailed reports that can be readily understood, using best practices in data visualization and statistics.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EParticipates in high-level stakeholder meetings to understand stakeholder priorities and develop potential solutions as required.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EDevelops quality assurance processes and protocols in collaboration with the PDMO.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EConducts and overseas predictive data analytics using machine learning%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EConducts and overseas geo-spatial analytics%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EServes as an HAI representative and liaison to the DoHS for the planning and performance of projects, programs and activities involving health data analytics and program evaluation.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EFacilitates communication and efficient collaboration between research partners at the Health Affairs Institute and the staff of the DoHS.%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EEnsures that data analytic and research/evaluation activities are compliant with Health Affairs Institute and University-level policies for the responsible conduct of research as well as federal, and state policies.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EProvides consultation to faculty and government partners regarding preparation of research proposals, design and methodology, data analytics and interpretation of results.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EIdentifies opportunities for potential collaborations between the Health Sciences Center and the DoHS.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EPrepares reports as required by the University, the Health Sciences Center administration, and external agencies. Communicates results of analytic projects and program evaluations with relevant staff of the DoHS.%26nbsp;%3C/span%3E%3C/li%3E%3Cli%3E%3Cspan style=%22font-family%5C:Arial, Helvetica, sans-serif;font-size%5C:14px;%22%3EConducts or directs special projects as assigned. Acts in other matters and capacities as delegated by the Center for Measurement and Health Data Analytics for the Health Affairs Institute.%26nbsp;%3C/span%3E%3Cbr%3E%3Cbr%3E%26nbsp;%3C/li%3E%3C/ul%3E%3Cp%3E%26nbsp;%3C/p%3E
- PhD in health-related field required.
- A minimum of three (3) years of experience in the folllowing:
- Record of research and achievement in health outcomes and policy research (health services research, public health informatics, health policy, clinical outcomes) as evidenced by publications and a sustained research program.
- Experience in using Artificial Intelligence in data analytics
- Experience and knowledge in predictive analytics using machine learning
- Experience conducting research/evaluation within the academic and governmental sectors.
- Good knowledge in Medicaid Claims data and adequate knowledge in medical coding.
- Experience in conducting in-house training
Knowledge, Skills and Abilities
- Extensive knowledge and experience in utilizing large health databases for research, program evaluation, and policy development.
- Extensive knowledge in machine learning
- Extensive knowledge in using Artificial Intelligence in data analytics
- Ability to project and maintain a positive and collaborative attitude.
- Record of accomplishments in the area of health data analytics.
- Strong ability to communicate goals, methods, and results of research initiatives with key stakeholders.
- Demonstrated proficiency in the use of standard software packages such as SAS or R
- Good knowledge in handling mortality data
- Experience working with Medicaid Claims data
- Training and facilitation skills
- Strong understanding of Data Security and Compliance – particularly with HIPAA and PHI data access and storage
- PhD in health-related field required.
- A minimum of three (3) years of experience in the folllowing:
- Record of research and achievement in health outcomes and policy research (health services research, public health informatics, health policy, clinical outcomes) as evidenced by publications and a sustained research program.
- Experience in using Artificial Intelligence in data analytics
- Experience and knowledge in predictive analytics using machine learning
- Experience conducting research/evaluation within the academic and governmental sectors.
- Good knowledge in Medicaid Claims data and adequate knowledge in medical coding.
- Experience in conducting in-house training
Knowledge, Skills and Abilities
- Extensive knowledge and experience in utilizing large health databases for research, program evaluation, and policy development.
- Extensive knowledge in machine learning
- Extensive knowledge in using Artificial Intelligence in data analytics
- Ability to project and maintain a positive and collaborative attitude.
- Record of accomplishments in the area of health data analytics.
- Strong ability to communicate goals, methods, and results of research initiatives with key stakeholders.
- Demonstrated proficiency in the use of standard software packages such as SAS or R
- Good knowledge in handling mortality data
- Experience working with Medicaid Claims data
- Training and facilitation skills
- Strong understanding of Data Security and Compliance – particularly with HIPAA and PHI data access and storage
- Valid Driver’s License and ability to travel on an intermittent basis if/when required.
- Valid Driver’s License and ability to travel on an intermittent basis if/when required.
West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees.
From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures.
At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values — service, curiosity, respect, accountability and appreciation — unite us as Mountaineers.
Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.
West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.
West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees.
From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures.
At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values — service, curiosity, respect, accountability and appreciation — unite us as Mountaineers.
Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.
West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.
