• Develop and implement statistical and machine learning models supporting readiness assessment, performance analysis, and injury-risk awareness. • Apply appropriate analytic methods based on data characteristics, scientific guidance, and Government priorities. • Ensure analytic approaches are transparent, interpretable, and suitable for operational decision support. • Support validation, testing, and refinement of analytic models under Government and senior scientific direction. • Assess model performance, limitations, assumptions, and potential bias. • Collaborate with epidemiologists and research psychologists to ensure analytic outputs align with scientific intent. • Work with data engineers to support feature development, data preparation, and analytic dataset construction. • Assist in identifying data quality issues that may impact model performance. • Ensure analytic inputs align with approved data definitions and governance standards. • Collaborate with software teams to support integration of analytic outputs into dashboards, reports, and user-facing decision-support tools. • Support development of repeatable analytic workflows and documentation. • Assist in troubleshooting analytic issues in coordination with data and software teams. • Contribute to documentation of analytic methods, assumptions, limitations, and results. • Support preparation of analytic summaries, briefings, and materials for Government stakeholders. • Clearly communicate analytic findings in a manner appropriate for non-technical audiences.