LMI seeks a Tactical Sports Scientist II to support the U.S. Army’s Holistic Health & Fitness (H2F) initiative as a member of the Analytics functional team within the H2F Program Support Team.

The Tactical Sports Scientist II supports the applied analysis and interpretation of human performance, workload, and recovery data to inform readiness assessment and injury-risk awareness within the Holistic Health and Fitness Management System (H2FMS). This role focuses on execution and analytic support, not training delivery, coaching, or independent scientific strategy development.

The Tactical Sports Scientist II works closely with epidemiologists, data engineers, AI/ML engineers, research psychologists, and software teams to ensure that performance-related data are accurately interpreted and integrated into analytics, dashboards, and decision-support products delivered through the Government-managed H2F application.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

• Support analysis of performance, workload, fatigue, and recovery-related data across Army populations.
• Assist in identifying trends and patterns related to training exposure, readiness, and performance outcomes.
• Apply foundational sports science principles under senior scientific and Government direction.
• Support interpretation of data from wearable sensors and performance monitoring technologies (e.g., activity, workload, physiological indicators).
• Assist in evaluating data quality, consistency, and appropriate use of performance metrics.
• Coordinate with data engineers to support ingestion and integration of performance-related data into H2FMS.
• Assist data scientists and AI/ML engineers with preparation and validation of performance-related analytic inputs.
• Support review and testing of analytic outputs related to performance, workload, and recovery.
• Help translate applied sports science concepts into system requirements under Government direction.
• Collaborate with epidemiologists and research psychologists to support integrated analysis of injury, behavioral, and performance data.
• Coordinate with software and user engagement teams to ensure performance-related insights are accurately reflected in user-facing outputs.
• Support preparation of analytic summaries and briefing materials as directed.
• Contribute to documentation of analytic methods, assumptions, and limitations.
• Support adherence to Government data governance, privacy, and usage requirements.
• Maintain familiarity with Army H2F doctrine and approved performance science practices.

Required Qualifications

• Bachelor’s degree in Sports Science, Exercise Physiology, Kinesiology, Biomechanics, or a related field.
• Demonstrated experience supporting applied sports science or human performance analysis in military, tactical, athletic, or physically demanding environments.
• Foundational knowledge of exercise physiology, biomechanics, workload management, fatigue, and recovery concepts.
• Experience or exposure to performance monitoring tools or wearable technologies.
• Ability to collaborate effectively within multidisciplinary teams spanning analytics, research, and software.
• Strong analytical and communication skills.
• Ability to obtain and maintain a Secret security clearance.

Desired Qualifications

• Experience supporting applied performance analysis in military or tactical environments.
• Familiarity with basic data analysis, visualization, or analytics tools.
• Experience working alongside data science or engineering teams.
• Prior experience supporting DoW or federal customers.

The target salary range for this position is $92,000 - $155,000.

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.   

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.