Job description

Position Objective: The Data Analyst will provide support to the Office of Research Infrastructure Programs (ORIP) within the National Institutes of Health. Duties and Responsibilities: • Establishes study methods and techniques to be utilized in studies and audits. Responsible for interpreting findings resulting from studies that are independently developed. Develops recommendations for program officials and supervisors and strives to have viable recommendations accepted by operating components. Recommendations include work method or procedural changes, systems variations, and acceptance of new technology developments. Responds to formal contacts and provides guidance and direction concerning management of contract information. • Prepares clear and effective reports, which include gathering and interpreting data, that are relevant to subject matter and meeting the specified time frame. Develops, rewrites, or updates summary reports into final format within specified time frame. • Analyzes and evaluates, on a quantitative and/or qualitative basis, the effectiveness of programs or operations in meeting established goals, measures, and objectives. Analyzes and prepares program status reports for review at all levels. Reviews internal processes and procedures, making recommendations for improvements to promote efficiency and cost savings. • Evaluates, processes, and makes recommendations for effective organizational changes. Performs program cost analyses such as development of life cycle or other cost analyses of projects, or performance of cost benefit or economic evaluations of programs. • Analyzes and evaluates on a quantitative or qualitative basis, the effectiveness of programs or grant operations in meeting established goals and objectives. Develops various statistical tables and reports, new or modified work methods, management processes and procedures for administering program services, guidelines and procedures for program operations. • Recommends areas and methods by which efficiency of operation can be improved. • Reviews, monitors, analyzes, and evaluates financial, narrative, and statistical reports and program data submitted at the local, state, regional, and federal levels. Completes analysis of data and identifies programmatically significant findings. Develops recommendations for improvements in program operations. • Participates in discussions, meetings, conferences and conference calls with agency administrative, senior subject matter, and technical personnel, and other federal agency officials to secure and provide information, to investigate facts, to present conclusions, recommendations, and alternative, to obtain concurrence and develop alternate courses of actions; and to mutually resolve problems. • Serves as point-of-contact and leads an effective completion of assigned program analyses and other planning and science policy requests. Resolves administrative issues by deducing appropriate avenues of inquiry or sources of information; and works with Program staff to accomplish administrative requirements. • Develops, implements, and maintains a structured DCM program planning, analysis, and reporting framework that captures achievements, progress, gaps, risks, and opportunities across DCM-supported programs, resource centers, initiatives, training activities, workshops, and outreach efforts. • Analyzes and reports how DCM activities support ORIP's mission, ORIP's and DPCPSI Strategic Plan priorities and crosscutting themes, and current NIH Director initiatives, including responsible stewardship, rigor and reproducibility, human-based science and new approach methodologies (NAMs), artificial intelligence/machine learning (AI/ML), real-world data, chronic disease, rare disease, HIV/AIDS, workforce training, and measurable health outcomes • Establishes study methods, evaluation criteria, data collection approaches, data dictionaries, and reporting templates for portfolio reviews, program assessments, annual data calls, resource utilization analyses, and leadership reporting. Interprets findings and develops recommendations for program officials and supervisors. • Collects, reconciles, validates, and analyzes quantitative and qualitative data from grants, cooperative agreements, contracts, progress reports, publications, resource centers, workshops, communications platforms, and other program sources. Identifies significant findings, trends, data limitations, and reporting gaps. • Develops and maintains dashboards, statistical tables, visualizations, briefing materials, summary reports, and recurring status reports that describe DCM activities, resource use, scientific outputs, co-funding, partnerships, training outcomes, outreach reach, and public-health relevance. • Prepares clear, accurate, and timely reports and briefings for ORIP, DPCPSI, NIH leadership, advisory bodies, interagency partners, and other stakeholders. Develops, rewrites, or updates scientific and programmatic summaries into final format within specified time frames. • Supports preparation of public-facing summaries, web content, impact stories, and plain-language materials that communicate the value of DCM-supported resources and infrastructure to the biomedical research community, NIH partners, Congress-facing audiences when needed, and the general public. • Conducts portfolio, needs, and gap analyses related to comparative medicine resources, human disease models, human tissues and biomaterials, NAMs, precision disease modeling, AI/ML-enabled approaches, data integration, model preservation, training, resource access, and translational research infrastructure. • Reviews, monitors, analyzes, and evaluates financial, narrative, scientific, and statistical reports submitted by awardees, resource centers, contractors, or partners. Assesses program progress against established goals, measures, milestones, and objectives and recommends actions to improve program performance and reporting quality. • Evaluates internal reporting processes, workflows, data systems, and management procedures and recommends improvements to promote efficiency, reduce duplication, strengthen data quality, increase transparency, improve cost effectiveness, and support responsible stewardship of federal resources. • Participates in discussions, meetings, conferences, webinars, workshops, and conference calls with ORIP and DCM leadership, program staff, administrative staff, scientific subject matter experts, technical personnel, contractors, resource directors, NIH ICO partners, and other federal agency officials to obtain information, present analyses, resolve issues, and develop alternate courses of action. • Serves as a point of contact for assigned DCM program analyses, strategic planning products, leadership reporting, data calls, science policy requests, and public-impact reporting activities. Resolves administrative and analytical issues by identifying appropriate sources of information and working with program staff to complete requirements. Basic Qualifications: • Bachelor’s in Information Management, Computer Science, Data Analytics/AI, or similar • Experience performing data analysis, using computer science and AI to process data sets • Knowledge of data analysis techniques Preferred Qualifications: • Ability to communicate effectively, orally and in writing, with non-technical and technical staff • Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects *This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at recruiting@gapsi.com . You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. This position is contingent upon contract award.

Requirements

Must-haves

Position Objective: The Data Analyst will provide support to the Office of Research Infrastructure Programs (ORIP) within the National Institutes of Health.
Recommends areas and methods by which efficiency of operation can be improved.
Bachelor’s in Information Management, Computer Science, Data Analytics/AI, or similar
Experience performing data analysis, using computer science and AI to process data sets
Knowledge of data analysis techniques
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.

Nice-to-haves

Ability to communicate effectively, orally and in writing, with non-technical and technical staff
Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.
This position is contingent upon contract award.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaiml

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