Computational Research Scientist III

Join the HJF Team!

HJF is seeking a Computational Research Scientist III to support advanced human performance research initiatives. This role involves designing and implementing data architectures, conducting complex statistical analyses, and translating findings into actionable insights for operational readiness and health optimization.

This position will be in support of Air Force Research Laboratory (AFRL) 711th Human Performance Wing, Performance Resiliency and Optimization (PRO) Initiative.

The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals.

• Data Architecture & Integration: Develop and maintain data pipelines for large, multi-source datasets (wearables, biomarkers, performance metrics).
• Data Quality & Cleaning: Implement routines for data validation, missingness evaluation, and outlier detection.
• Statistical Modeling: Perform advanced analyses (regression, multivariate, predictive modeling) to evaluate intervention effects and readiness outcomes.
• Human Performance Analytics: Create frameworks integrating fitness, cognitive performance, and operational metrics.
• Operational Modeling: Apply time-series and phase-based analytics across deployment cycles.
• Reporting & Visualization: Develop dashboards, APA-formatted tables, and scientific reports for leadership and stakeholders.
• Research Design Consultation: Advise on experimental design, sampling strategies, and statistical plans.
• Compliance: Ensure adherence to DoD, IRB, and federal statistical standards; complete CITI training for human subject research.

Supervisory Responsibilities

• Assigned Lead: May recommend the following: employee hiring, disciplinary action, and starting salaries; provide input on employee performance evaluations.

Education and Experience

• Doctoral Degree in Biostatistics, Data Science, Sports Physiology, or related field.
• Minimum of 6-8 years experience in statistical modeling and data integration for large-scale research studies.
• Proficiency in R, Python, SQL, and data visualization tools (e.g., Power BI, Shiny).
• Experience with longitudinal data analysis, mixed-effects modeling, and predictive analytics.
• Familiarity with wearable technology data and human performance metrics.

Preferred Qualifications & Skills

• Experience with DoD or military research protocols.
• Knowledge of SPAFORGEN and EIP employment models.
• Strong communication skills for translating technical findings into operational language.
• Ability to work collaboratively in multidisciplinary teams.
• Certifications such as NSCA-CSCS or CPSS are a plus.

Required Knowledge, Skills and Abilities

• Ability to lead projects and guide all aspects of cross-disciplinary computational research projects and proposal development
• Proven expertise in applicable scientific projects
• Excellent communication skills
• Ability to work independently and supervise others

Physical Capabilities

• Lifting: Requires lifting materials up to 10 lbs.
• Ability to stand or sit at a computer for prolonged periods.

Work Environment

• This position will take place primarily in an office setting.

Compensation

• The annual salary range for this position is $100,500-$160,000. Actual salary will be determined based on experience, education, etc.

Benefits

• HJF offers a comprehensive suite of benefits focused on your health and well-being, from medical, dental, and vision coverage to health savings and retirement plans, and more.

Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.