Founding Sports Scientist (Rankings and Data) – P99

[Sydney / hybrid / remote in Australia] · [Full time / part-time / contract] · [salary range]

About P99

P99 is a new app that ranks people’s fitness, health and longevity against others their age and sex. It covers running, cycling, HYROX, VO2 max, strength, sleep, body composition and blood results. Users connect their wearables, add their results, and see where they stand. There are leaderboards for clubs and gyms as well.

We have a working prototype, and our build has started. You’d be our first sports scientist, and you’d create it from scratch.

What you’ll do

Build the ranking model from scratch

- Create the benchmarks for fitness, health and longevity: what a typical, good and elite result looks like for each age and sex
- Find and assess the published reference data behind each benchmark, Australian sources first, and document every source so each rank can be traced and defended
- Design the subcategories under Fitness, Health and Longevity, decide which measures sit in each, and work out how they rank and roll up into one score
- Decide where more isn’t better (body fat, blood pressure, sleep) and score those against a healthy range, not a leaderboard
- Set the like-with-like rules, such as lab against watch VO2 max, and different wearable brands
- Decide how much to trust each type of result (self-reported, wearable, verified race, clinic or lab) and how long it stays current
- Say plainly where the evidence is too thin to rank a measure, such as HYROX and gym strength, and find a way to fill the gap

Work with the build

- Hand the developer clear scoring rules and reference tables, and answer their questions quickly
- Write worked examples and check the app’s scores against them, so what gets built matches your method
- Set the rules for verifying results: what evidence counts, and how odd or disputed results are handled




- Write the plain-English explanations members see: why a measure counts and how to improve it

Once members join

- Analyse member data, and manage the move from published reference data to P99’s own member rankings
- Turn weak results into graded, evidence-based training plan templates, with pre-exercise screening
- Work with our academic advisers, statistician, regulatory adviser and lawyer, so P99 stays a wellness product and never gives medical advice

What we’re looking for

- A degree in exercise and sports science, exercise physiology or a similar field. Postgraduate research is a big plus, and PhD candidates and postdocs are welcome
- Strong statistics: normative data, percentiles, sample sizes and confidence ranges, and able to judge whether a study’s data is good enough to use
- 3+ years working with performance or health testing data in sport, research, clinical or health tech settings
- Good working knowledge of the main markers: VO2 max, strength, body composition, sleep and common blood results
- Handy with Excel, and ideally R or Python, for building and testing scoring models
- Comfortable starting with a blank page and making the calls
- Able to write a rule clearly enough for a developer to build it, and explain it in plain English to everyone else
- ESSA accreditation, and experience with wearable data (Garmin, Apple Watch, Oura, WHOOP or similar), are a plus
- Bonus if you train yourself (running, cycling, HYROX, gym) and get why people want to know where they rank

What you get

- A salary
- Ownership of the science behind the product from day one
- Flexible hours / location / other perks

How to apply Email [email protected] with your CV and a short note about a testing protocol, benchmark or scoring system you’ve built and your part in it. An example of your work, or a few lines on how you’d rank one measure (say, VO2 max for a 30-year-old), is worth more than a polished CV.

Pay: From $60,000.00 per year

Work Location: Hybrid remote in Rose Bay NSW

📌 Founding Sports Scientist (Rose Bay)
🏢 P99
📍 Rose Bay