iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their own individual fitness journey.
iFIT’s vision is to create the world's most holistic health and fitness platform, integrating all elements of health - physical fitness, mental health, nutrition and active recovery - into a seamless interactive experience. We develop proprietary software that learns and adjusts to the habits of each person as it delivers immersive content that guides them on their individual fitness journey.
Position Summary:
iFIT is looking for visionary experts to join our Science Council Advisor Board, a dedicated advisory group shaping the future of fitness and wellness technology. We are currently seeking a specialized advisor with deep expertise in Sports Science, Biometrics, and Biostatistics to guide the interpretation and application of physiological, performance, and behavioral data across iFIT’s platform.
The Science Council will comprise approximately five advisors, each bringing domain-specific expertise across Metabolic Science and Weight Loss, Cardio Performance, Strength Performance, Behavioral Psychology, and Sports Science, Biometrics, and Biostatistics. This role represents the data and measurement backbone of the council and plays a critical role in ensuring iFIT’s use of wearables, biomarkers, and performance data is scientifically sound, ethically responsible, and translated into meaningful training and recovery recommendations.
This is a fractional, advisor-level role focused on strategic guidance, scientific validation, and applied insight rather than day-to-day execution.
Commitments:
- Provide high-level scientific guidance on the use and interpretation of wearable data, biomarkers, and physiological signals to inform training, recovery, and performance decisions.
- Advise on programming manipulation and decision-making frameworks using metrics such as HRV, blood biomarkers, workload, and recovery indicators.
- Actively participate in monthly Science Council meetings and collaborate across domains to ensure data-driven alignment between training, recovery, and behavioral strategies.
- Contribute to research review, methodological guidance, and quarterly insights related to sports science analytics, biostatistics, and applied performance monitoring.
- Conduct research studies to validate program or product efficacy.
Role Responsibilities:
- Advise on the use of wearable technologies and biometric signals including HRV, heart rate, sleep, workload, and recovery markers
- Provide guidance on integrating blood work and physiological biomarkers into training and recovery decisions
- Support development of data interpretation frameworks that balance signal, noise, and user safety
- Advise on training and recovery programming adjustments based on biometric and performance data
- Support development of adaptive programming logic grounded in sports science principles
- Ensure recommendations are scalable, interpretable, and appropriate across populations
- Provide perspective informed by sustained experience working with Olympic, professional, or Division I collegiate athletes or teams
- Translate elite performance monitoring methodologies into consumer-appropriate applications
- Advise on statistical methods, study design, and data interpretation for sports science research
- Support evaluation of outcomes, trends, and longitudinal performance data
- Contribute to quarterly reports summarizing findings, risks, and recommendations
- Advise on ethical and scientific considerations related to biometric data use and intervention design
- Participate in PR and media efforts including expert quotes and thought leadership as a Science Council representative
Qualifications:
- Terminal degree in Biostatistics, Statistics, , Kinesiology, Physiology, or a closely related field
- Demonstrated expertise in sports science data interpretation, biometrics, and biostatistics
- Experience working with wearable technologies and physiological markers to inform training and recovery
- Sustained experience working directly with elite or professional athletes or teams including Olympic, professional, or Division I collegiate environments
- Ability to commit approximately 5 hours per week as part of a Science Council of 4–5 advisors
- Availability to participate in monthly Science Council meetings, with a mix of remote sessions and periodic in-person meetings in Park City
- Willingness to offer structured office hours through a booking system to support internal teams
- Capacity to support research initiatives and contribute to quarterly reports on trends and recommendations
- Availability for PR or media participation as a scientific representative when needed
Preferred:
- Experience advising digital health, sports technology, or performance analytics platforms
- Background integrating multi-modal data sources into adaptive training systems
- Experience working across both applied sport and research environments
DISCLAIMER
Compensation may vary based on the job level, your geographic work location, position incentive plan, and exemption status.
Although we currently may consider hiring in the states listed below, not all positions are available in all locations, and work in a particular state is not guaranteed. Current list of states where iFIT may consider hiring: AK, AL, AR, AZ, CA, CO, CT, FL, GA, ID, IL, IN, KS, KY, LA, MA, MD, MI, MN, MO, MS, NC, NH, NJ, NV, NY, OH, OK, OR, PA, RI, SC, SD, TN, TX, UT, VA, WA, WI, WY.
Subject to applicable state laws, your employment at iFIT is "at-will". At-will employment means that you and the company each have the right to terminate the employment relationship at any time for any cause or for no cause at all.
iFIT does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, ancestry, mental or physical disability, sexual orientation, gender identity, medical condition, genetic information, marital status, veteran status or any other characteristic protected by law.