Clinical Economist

The role

You will own the statistical and econometric approach to clinical quality using observational health data. You will identify quality problems and work with clinical, engineering, and device teams to find root causes and implement fixes.

What you will do

• Own the statistical and econometric approach to clinical quality across measurements, devices, operators and sites.
• Own each quality problem from detection to resolution.
• Work with large, messy, observational health data.
• Use fixed effects, repeat measurement and natural experiments to separate real member change from device, operator and site variation.
• Check every estimate against the outcomes observed.
• Work and code alongside engineers to move checks from analysis into the live system.
• Communicate results to clinicians, engineers and the leadership team.
• Set the direction and scope of the clinical quality system.

Required 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.
• Comfortable writing production-quality analysis code and working directly with engineers who run production systems.
• Obsessive attention to detail.
• Able to explain a result clearly to a clinician, an engineer or the leadership team.

Nice to have

• Experience with health or clinical data
• Experience of team leadership
• Experience with measurement error, calibration, inter-rater reliability or quality control in any setting
• Experience turning analysis into a system that runs continuously

About the company

Neko is redefining what prevention means by making data-driven, preventative care accessible through proprietary technology and direct clinical care.