Why this grade
This listing scored 41/100, which is a D. It lost the most ground on pay transparency.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 10 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Description depth 8 / 20 How much the posting actually says about the work, measured in characters of real text.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Remote clarity 3 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
hybrid other compressed_week mid permanent Bayesian inference Data Analysis Dynamical systems Mathematical modelling Time-series Analysis network analysis
We are excited to offer this opportunity to a highly motivated Research Associate to join an ambitious new team working in the field of Digital Endocrinology. The successful applicant will conduct original research aimed at translating understanding of endocrine function into precision medicine applications. The research will use data from wearable device technologies to characterise variability in circadian hormone profiles in humans,…
Apply for this role Opens 4dayweek.io — the link as listed; we have not yet verified it is the employer's own page
Where this listing came from
- 23 Sep 2026 4 Day Week first sighting
Seen on 1 board over 0 days.