Research Scientist

• The RC will work with the Department of Behavioral Medicine and Psychiatry (BMED) staff and community-based referral sources to identify potential study subjects.
• Assist RC in screening patients for eligibility based on information collected from patients and from review of patient’s medical chart, applying established protocol inclusion/exclusion criteria.
• Conduct screening, consenting and randomization activities in accordance with the MOP and local SOPs.
• Explain all aspects of study participation to eligible patients as well as educate eligible patients on scope of study and participation.
• Obtain signed consent/HIPAA forms and contact info from patients who agree to participate.
• Review and ensure consent documents are complete and accurate.
• Manage initiation of subject treatment based on randomization using study medication, under supervision of the site PI and Medical Clinician and Research Pharmacist; interact with research pharmacy and Medical Clinician (MC) to ensure that correct medication is delivered to CRC and administered to subject.
• Complete structured questionnaires and assessments with subjects and review for completeness and accuracy; schedule dates/times with subjects for collecting follow-up study data.
• Perform follow-up study visits for each participant according to study protocol, MOP, and local SOPs.
• Perform data abstraction and complete visit checklist/progress notes for all visits.
• Collects and processes biological samples.
• With appropriate training, may assess vital signs, height, and weight.
• Complete daily temperature logs for study supplies.
• Manage subject study protocol in collaboration with the PI, ensuring subsequent research activity is strictly followed based on corresponding protocol.
• Address patient/provider medical concerns and respond appropriately with limited supervision.
• Process and track study payments to participants.
• Attend weekly research team meetings.

Research Assistant II – Behavioral Medicine and Psychiatry

• Conducts and oversees economic modeling, using claims data to assess economic outcomes and health system performance evaluations.
• Support data driven decision making for state health programs and policies.
• Perform hands on data work and produce insights that drive operational improvements, translate complex data into clear, actionable insights for government and industry partners.
• Develop economic models to determine the efficient allocation of resources available to healthcare payers and providers, and develop appropriate communications for a variety of stakeholders.
• Work under the guidance of the Director of the Center for Measurement and Health Data Analytics to maintain sophisticated models to forecast the financial impact of health policies and policy changes.
• Conduct sensitivity analyses and stress testing on models to develop robust understanding on the range of potential outcomes under multiple scenarios.
• Develop knowledge repository of industry best practices and innovations.
• Proactively provide analytic guidance for financial and economic outcomes of policies and policy changes using conventional and predictive study designs.
• Accomplish comparative evaluations and retrospective studies to measure the actual economic outcomes against initial projections.
• Build repeatable and scalable analytic processes.
• Generate executive presentations for stakeholders
• Promote and shape HAI best practices concerning automation and documentation.
• Contribute to department initiatives around automation, Machine learning, AI use, and tooling improvements.
• Maintain compliance with all applicable laws and regulations governing the responsible conduct of research and data security.
• Execute Health Economic Outcomes Research (HEOR) evidence generation including; cost-benefit analysis, cost-effectiveness analysis and budget impact models
• Analyze Medicaid and commercial claims data using SQL, SAS, R, or Python to identify trends, cost drivers, and utilization patterns.
• Collaborate with cross functional teams including data scientists, policy analysts, and state partners.
• Support grant proposals and project scoping with economic insights.
• Oversee/provide mentorship to other analysts as directed by the Director of the Center for Measurement and Health Data Analytics
• Develop and lead training modules as directed by the Director of Health Analytics.
• Lead data risk assessments to mitigate and/or expose data quality and/or security issues in collaboration with the HAI Program Development and Management Office (PDMO) and the Director of Health Information.
• Identify and troubleshoot unanticipated data problems or unexpected results and provide solutions to resolve identified concerns.
• Provide consultation and support for HAI project team members in data analysis and visualization best practices, and new and current technology.
• Participate in high-level stakeholder meetings to understand stakeholder priorities and develop potential solutions as required.
• Develop quality assurance processes and protocols in collaboration with the PDMO.
• Ensure 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.
• Provide consultation to faculty and government partners regarding preparation of research proposals, design and methodology, data analytics and interpretation of results.
• Identify opportunities for potential collaborations between the Health Sciences Center and the West Virginia Department of Human Services.
• Prepare 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 West Virginia Department of Human Services.
• Conduct or direct special projects as assigned.
• Act in other matters and capacities as delegated by the Director of the Center for Measurement and Health Data Analytics for the Health Affairs Institute.

Health Economist, Research Scientist – Health Affairs Institute

• Conducts and oversees economic modeling
• Supports data driven decision making for state health programs and policies
• Produces insights that drive operational improvements
• Develops economic models to determine efficient resource allocation
• Maintains sophisticated models to forecast financial impact of health policies
• Conducts sensitivity analyses and stress testing on models
• Provides analytic guidance for financial and economic outcomes of policies
• Collaborates with cross-functional teams including data scientists and policy analysts
• Prepares reports and communicates results of analytic projects
• Oversees/provides mentorship to other analysts
• Leads training modules as directed

Health Economist – Research Scientist

• Lead and contribute to end-to-end research projects using multimodal physiological and behavioral data
• Design rigorous studies and analyses to answer challenging scientific questions
• Develop and apply advanced statistical and computational models to answer meaningful health questions
• Translate evidence and research insights into actionable product solutions
• Build and maintain strong working relationships across Health Science, Data Science, and Product squads
• Contribute to external scientific dissemination through abstracts, posters, and peer-reviewed manuscripts
• Support literature synthesis and help contextualize findings within current evidence

• Lead process transformation across Analytical Sciences production labs, Foundational Chemistry labs, R&D environments, and Manufacturing Quality Services labs
• Map current-state capabilities while operating in parallel with business-as-usual (BAU) activities
• Identify gaps, redundancies, and inefficiencies across laboratory operations and service delivery models
• Evaluate workflows across multiple sites, teams, and laboratory functions
• Develop and implement skills matrices to assess workforce capabilities and identify proficiency gaps
• Align resources, roles, and processes to optimize efficiency and scalability across the network
• Define and analyze key performance metrics, including samples processed per role, non-conformance/error rates, and time per sample
• Leverage data-driven insights to drive process optimization and continuous improvement
• Implement scalable solutions that enhance throughput, data quality, compliance, and overall operational performance
• Design and implement systems and tools to capture, track, and report key laboratory performance metrics
• Establish standardized methods for data collection, ensuring accuracy, consistency, and traceability
• Enable real-time or near-real-time visibility into operational performance to support decision-making and continuous improvement.

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