Data Analyst (53140)

Gap Solutions•Bethesda, MD

About The Position

The Data Analyst will support the Office of Research Infrastructure Programs (ORIP) within the National Institutes of Health, with a focus on program analysis, planning, reporting, and science policy support for DCM-supported programs and activities. The role establishes study methods, evaluation criteria, data collection approaches, data dictionaries, and reporting templates; gathers, reconciles, validates, and analyzes quantitative and qualitative information from grants, contracts, resource centers, reports, publications, workshops, and other sources; and interprets findings to identify trends, limitations, gaps, and significant results. The analyst develops recommendations for program officials and supervisors, evaluates program effectiveness and progress against established goals and objectives, and assesses program costs and operational processes. The role maintains a structured planning, analysis, and reporting framework; creates dashboards, statistical tables, visualizations, briefings, and status reports; and prepares accurate, timely materials for ORIP, DPCPSI, NIH leadership, advisory bodies, interagency partners, and other stakeholders. It also supports public-facing summaries, web content, impact stories, and plain-language communications about DCM-supported resources and infrastructure. The position conducts portfolio, needs, and gap analyses across areas including comparative medicine resources, human disease models, human tissues and biomaterials, new approach methodologies, precision disease modeling, AI/ML-enabled approaches, data integration, model preservation, training, resource access, and translational research infrastructure. The analyst participates in meetings and discussions with program and scientific staff, contractors, resource directors, NIH partners, and federal agency officials; serves as a point of contact for assigned analyses and reporting activities; and resolves administrative and analytical issues in coordination with program staff. This position is contingent upon contract award.

Requirements

Bachelor’s degree in Information Management, Computer Science, Data Analytics/AI, or a similar field.
Experience performing data analysis and using computer science and AI to process data sets.
Knowledge of data analysis techniques.

Nice To Haves

Ability to communicate effectively, orally and in writing, with technical and non-technical staff.
Detail-oriented with strong organizational skills and the ability to prioritize multiple tasks and projects.

Responsibilities

Establish study methods, evaluation criteria, data collection approaches, data dictionaries, and reporting templates for reviews, assessments, data calls, resource analyses, and leadership reporting.
Collect, reconcile, validate, and analyze quantitative and qualitative program data from grants, agreements, contracts, reports, publications, resource centers, workshops, communications platforms, and other sources.
Interpret study and program findings, identify trends, limitations, data gaps, and significant results, and develop recommendations for program officials and supervisors.
Analyze and evaluate program and grant operations against established goals, measures, milestones, and objectives.
Develop and maintain a structured DCM program planning, analysis, and reporting framework that captures achievements, progress, gaps, risks, and opportunities.
Prepare dashboards, statistical tables, visualizations, briefing materials, summary reports, and recurring status reports on DCM activities, resource use, scientific outputs, co-funding, partnerships, training outcomes, outreach, and public-health relevance.
Prepare accurate, timely reports and briefings for ORIP, DPCPSI, NIH leadership, advisory bodies, interagency partners, and other stakeholders.
Develop, rewrite, or update scientific and programmatic summaries into final format within required time frames.
Support public-facing summaries, web content, impact stories, and plain-language materials communicating the value of DCM-supported resources and infrastructure.
Conduct portfolio, needs, and gap analyses related to comparative medicine resources, disease models, tissues and biomaterials, NAMs, precision disease modeling, AI/ML, data integration, training, resource access, and translational research infrastructure.
Review and evaluate financial, narrative, scientific, and statistical reports from awardees, resource centers, contractors, and partners.
Evaluate reporting processes, workflows, data systems, and management procedures and recommend improvements to efficiency, data quality, transparency, cost effectiveness, and responsible stewardship.
Perform program cost analyses, including life-cycle, cost-benefit, and economic evaluations as applicable.
Participate in meetings, conferences, webinars, workshops, and calls with program leaders and staff, scientific and technical experts, contractors, resource directors, NIH partners, and other federal officials to obtain information, present analyses, resolve issues, and develop courses of action.
Serve as a point of contact for assigned program analyses, strategic planning products, leadership reporting, data calls, science policy requests, and public-impact reporting.
Resolve administrative and analytical issues by identifying appropriate information sources and coordinating with program staff to complete requirements.
Analyze and report how DCM activities support ORIP and DPCPSI strategic priorities and NIH initiatives, including responsible stewardship, rigor and reproducibility, human-based science and NAMs, AI/ML, real-world data, disease areas, workforce training, and measurable health outcomes.