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Clinical Economist

Neko Health· Science & Innovation
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Hybrid (Stockholm), Hybrid (London)Full-timePosted 2w ago

About the role

Role focused on leading Neko's data-driven approach to clinical quality using advanced econometric and statistical methods to detect, diagnose, and fix quality issues across measurements, devices, operators, and sites; building an always-on quality system integrated with clinical operations and engineering.

Responsibilities

  • Own the statistical and econometric approach to clinical quality across Neko's measurements, devices, operators and sites.
  • Own each quality problem from detection to resolution: bring together the clinical, engineering, device and site teams involved, agree the fix, and verify it worked.
  • Work with large, messy, observational health data: scan measurements, repeat visits, second readings and follow-up test results.
  • Use fixed effects, panel and repeated-measures data, and natural experiments to separate real member change from device, operator and site variation.
  • Check every estimate against the outcomes we later observe, and say plainly how much confidence a result carries.
  • Work and code alongside the engineers who run Neko's production systems, so that checks move from analysis into the live system.
  • Communicate results to clinicians, engineers and the leadership team in terms each can act on.
  • Set the direction and scope of the clinical quality system, including how it fits into clinical operations and what team it needs.

Qualifications

  • PhD in a quantitative field, such as economics, statistics or a related discipline.
  • 3–5 years post-PhD finding signal in observational data, with a track record of asking where variation comes from.
  • Deep experience with messy, real-world data, including cleaning and assembling datasets yourself.
  • Strong applied methods: fixed effects, panel and repeated-measures data, and natural experiments, with a working sense of when each holds and when it does not.
  • Comfortable writing production-quality analysis code and working directly with engineers who run production systems.
  • Obsessive attention to detail, and the habit of distrusting your own estimates until they are checked.
  • Able to explain a result clearly to a clinician, an engineer or the leadership team, and to bring them together around a fix.

Skills

Required:Statistical and econometric analysisData cleaning and wrangling of real-world observational health dataProduction-quality codeCommunicationCross-functional collaboration
Last updated Oct 9, 2026. Interested? Apply on the company site.
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