Sr Data Scientist at Children's Mercy KC
Kansas City, MO
$48.12/hrfrom the description
Jul 21, 2026
Kansas City, MO
Jul 24, 2026
What this job asks for AI summary
A data scientist role embedded within a pediatric hospital's research informatics team, focused on applying machine learning, statistical analysis, and data engineering to biomedical research projects. The work involves handling large-scale national health datasets alongside local data, contributing to scientific publications, and consulting with research faculty. Cloud platform experience and proficiency in R or Python are emphasized.
Mid level · 1+ years · Kansas City, MO-KS · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 15 people in the Kansas City, MO-KS area plausibly meet what this posting asks for (data scientists). range 10–25
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $102,066 (middle half $77,630–$131,367). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
The role is described as 'intermittent remote' — the incumbent must live in the Kansas City metro area and split time between home and on-site; it is not fully remote.
Degree requirement is flexible: the JD accepts a Bachelor's + 5-7 years, Master's + 3-5 years, or Ph.D. + 1-2 years, so no single minimum degree is hard-gated. overall years minimum is set to 1 (the Ph.D. pathway minimum).
R is listed in the Responsibilities section with firm language ('Demonstrated proficiency') and again under Qualifications as 'Strong experience with R preferred' — the Responsibilities framing is the stronger gate; Python is explicitly positioned as an alternative consideration ('Strong Python experience will be considered'), so it is marked preferred.
Cloud platforms (AWS, Google Cloud, Azure) are explicitly flagged as 'Preferred experience' in the Responsibilities section and are marked accordingly.
'Big data' / large-scale data management is stated with firm language ('Demonstrated proficiency') in the Responsibilities section and is treated as a hard gate, even though no specific platform is named.
Read the full posting
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