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

• Set technical direction for core replenishment R&amp;D.
• Model complex problems such as inventory decay, promotions, price elasticity, and inventory uncertainty.
• Drive fundamental changes to our core system from research through production.
• Lead research and development for new product and business challenges.
• Mentor scientists and engineers, set standards for experimental rigor.

Staff Applied Scientist

• Partner closely with a national intermediary to design and operationalize evaluation and learning frameworks aligned with their place-based partners’ strategy, capacity, and context.
• Lead the identification of metrics, data points, data sources, and data collection processes that balance rigor with feasibility.
• Develop evaluation work plans, including timelines and sequencing for data collection, data entry, analysis, reporting, and learning cycles.
• Translate evaluation needs into clear guidance for data systems, working with partner staff and technical administrators as needed.
• Support early execution of evaluation and learning activities, particularly during start‑up phases, while partners build internal capacity.
• Develop tools, templates, and protocols that enable partners to sustain evaluation and learning processes over time.
• Serve as a thought partner to practitioner staff—connecting data, evidence, and learning to real‑world decision‑making.
• Produce high‑quality deliverables such as evaluation frameworks and playbooks, data collection tools and protocols, reporting templates, learning briefs, and synthesis memos.

Senior Researcher, Place-Based Evaluation & Learning

• Participates in various educational workshops such as developing grant applications, preparing research publications, and writing research proposals.
• Gives presentations at appropriate meetings, conferences, and seminars. Participates in Inova research seminars including presenting research findings and obtaining feedback from colleagues and peers.
• Selects a specific research project and conducts that project semi-independently, but under the mentorship of Inova staff, as well as with collaborating mentors.
• Assists leaders and other investigators in preparing analytical methods/results for publication in professional journals and presentations at professional meetings.
• Assists in the development of grant applications for service line projects.
• Contributes to large projects and/or leads smaller research projects.
• Meets regularly with mentor(s), research managers, and academic advisors to discuss progress on research projects and identify and resolve any difficulties carrying out their work.
• Protects and promotes technologies and products through appropriate use of patents, internal and external publications, conference presentations, and trade secrets.
• Performs medical duties as assigned and relevant to credentials and research study needs
• May perform other duties as assigned.

Spine Postdoctoral Research Fellow

• 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

• Manage day-to-day project operations in roles such as principal investigator, project director, or task lead.
• Lead collaborative project teams by developing timelines, coordinating staff assignments, and ensuring deliverables are completed on time, within budget, and to a high standard.
• Identify research problems and design studies to address key questions in applied research contexts.
• Apply subject-matter expertise to design and implement relevant, responsive, and impactful research projects.
• Develop study designs with aligned research questions, methodologies, and analytic plans.
• Lead and contribute to research proposals for federal, state, foundation, and other clients.
• Devise and implement innovative solutions to practical challenges in applied research.
• Lead data collection and analysis efforts.
• Oversee the design and planning of qualitative and/or quantitative data collection tools, such as interview protocols, focus group guides, and surveys.
• Supervise field-based data collection activities, including interviews, observations, focus groups, and document reviews.
• Conduct or oversee data analysis using appropriate tools and techniques for various data types.
• Communicate study progress and findings clearly and effectively.
• Prepare reports, briefs, visualizations, and other materials that interpret and present research findings for clients and stakeholders.
• Represent the organization professionally in all client interactions.
• Communicate effectively, both orally and in writing, with clients, partners, and stakeholders.
• Foster and maintain positive, collaborative working relationships.
• Manage client and stakeholder relationships with professionalism and awareness of the broader policy and practice landscape.
• Contribute thoughtfully and creatively to project teams.

Senior Researcher, Employment and Economic Opportunity – Part-Time

• Lead the design and execution of rigorous applied research or evidence-driven technical assistance projects and support project leadership across work of increased scope and complexity.
• Assume primary responsibility for writing reports and presentations that describe and interpret evidence for practitioners and policymakers.
• Design and apply appropriate qualitative and/or quantitative methods to collect, manage, analyze, and interpret data, maintaining AIR’s quality standards.
• Translate complex findings into clear, actionable insights and recommendations for client reports, technical memos, and presentations.
• Manage projects or major workstreams of increased scope and complexity, including planning timelines, overseeing deliverables, and managing project-level client relationships.
• Engage with stakeholders and partners through meetings, briefings, and dissemination activities.
• Contribute to a collaborative, inclusive work environment by providing guidance and feedback to team members and supporting high-quality project outcomes.

Senior Researcher, Education Systems and Policy – Part-Time

• Conduct first-principles scientific and technical analysis to formulate hypotheses for remote sensing electro-optical and infrared imagery data applications and novel use cases.
• Perform feasibility studies, literature reviews, and trade studies to support development of early-stage mission and data concepts.
• Analyze and manipulate pixel-level geospatial and spectral datasets to extract unique insights and validate new mission concepts.
• Develop and generate prototype electro-optical and infrared imagery products and sample intelligence products that demonstrate unique capabilities of Muon’s systems.
• Support customer discovery and engagement efforts, translating operational pain points and needs into technical requirements and derived data solutions.
• Collaborate cross-functionally with product management, business development, and engineering teams to identify and develop new markets, products, and technologies.
• Support creation of technical proposals and white papers that articulate the differentiation and mission utility of Muon’s offerings.

Senior Applied Scientist, Geospatial

Senior Researcher, Youth Development

• 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.

Principal R&D Scientist

• Conduct independent, hands-on data analysis on RF sensor datasets using Python and Jupyter notebooks
• Provide technical advice and research direction across a multidisciplinary team
• Serve as primary technical advisor to the government sponsor
• Design and execute analytical investigations into RF sensor data quality
• Produce technical documentation that accurately represents the scope and confidence level of analytical results

Principal Scientist – AI/ML Specialization

• Develop and implement machine learning and AI solutions to address business problems
• Design experiments, build models, and translate research into production-ready features
• Collaborate with product and engineering teams to deliver measurable impact for customers
• Learn from deep domain experts about a variety of complex and interesting real-world problems

Applied Scientist

• Execute tasks within the mission context, considering users, use cases, operational constraints, and intended outcomes.
• Translate sponsor goals into clear technical questions, measurable success criteria, and credible evaluation evidence.
• Design and conduct studies grounded in mission needs; form hypotheses, run controlled experiments, analyze results, and produce actionable recommendations.
• Build research prototypes, evaluation harnesses, and reference implementations that demonstrate feasibility and generate learning in realistic settings.
• Develop and apply evaluation methodologies for ML systems (especially CV and LLMs), including metrics, benchmark design, robustness testing, uncertainty and calibration approaches, and repeatable test pipelines.
• Write clear, maintainable code and documentation with a level of engineering discipline proportionate to the intended use.
• Plan and deliver work in iterative cycles; manage priorities effectively; communicate status and risks early; and maintain momentum with minimal supervision.
• Communicate technical progress and results clearly to technical and non-technical stakeholders through briefings, demos, reports, and recommendations.
• Identify opportunities to publish research insights and lessons learned at reputable venues, subject to customer and releasability constraints.
• Contribute to technical discussions shaping tasking and delegation, support shared project goals, and provide guidance to junior teammates when appropriate.

Machine Learning Research Scientist – Frontier Lab

• Manage large, complex research projects or a portfolio of smaller studies, ensuring alignment with client expectations and organizational priorities.
• Oversee project planning, design, and implementation, including development of methods, procedures, timelines, and reporting structures.
• Anticipate project risks and develop mitigation strategies to ensure timely, high‑quality deliverables.
• Ensure compliance with ethical standards, IRB requirements, and data governance policies.
• Serve as a methodological authority, advising teams on advanced quantitative, qualitative, and mixed‑methods approaches.
• Develop conceptual frameworks and innovative research methodologies that advance understanding of prevention and evaluation topics.
• Lead the review, analysis, synthesis, and visualization of data using appropriate practices and techniques.
• Ensure data integrity, reproducibility, and strong documentation across all analytic workflows.
• Contribute to organizational strategy by identifying emerging research needs, funding trends, and opportunities for innovation in public health and prevention science.
• Represent the organization in national working groups, advisory panels, and technical expert meetings.
• Lead internal capacity‑building efforts through trainings, workshops, and knowledge‑sharing initiatives.
• Communicate effectively—both orally and in writing—with clients, partners, funders, and other key stakeholders.
• Translate complex research findings into actionable insights tailored to policymakers, practitioners, and community partners.
• Manage client and stakeholder relationships with professionalism and awareness of the broader policy and practice landscape.
• Curate external relationships by engaging thought leaders, innovators, and implementation partners across the public health arena.

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