Statistician - Medical Device Services

Hiring organization: Confidential — Confidential medical device services company (employer named before interviews)
Location: Nashville, TN, US
Workplace: On-site
Employment: Full-Time
Pay: $90,000 - $121,500 per year
Date posted: 2026-09-26
Closing date: 2026-12-28

Job description

Role overview: The Statistician - Medical Device Services is based in Nashville, Tennessee and supports device service requests, product documentation, and customer support. This position combines hands-on execution with reliable documentation and collaboration across operational and technical teams. Responsibilities: Design analytical studies, evaluate data quality, select statistical methods, and communicate uncertainty. Apply these responsibilities to device service requests, product documentation, and customer support. Work with process owners to maintain traceable records and coordinate changes with designated quality reviewers. Identify problems early, record the evidence behind recommendations, and coordinate handoffs so agreed work is completed accurately. Qualifications: 2+ years of relevant professional experience or equivalent demonstrated project work. Demonstrated capability in statistical inference, experimental design, R or Python, and reproducible analysis. Experience supporting medical device services is preferred. Ability to document decisions, communicate clearly, and handle business information responsibly. Initial priorities: Produce a reproducible analysis with documented assumptions and uncertainty. Begin by reviewing the current process, agreeing on a baseline with stakeholders, and identifying the most useful improvement to deliver. Report results using measures appropriate to the role and explain any unresolved dependencies. Work arrangement: Full-Time, On-site in Nashville, Tennessee. Estimated annual cash compensation: USD 90,000 to 121,500. This illustrative range is centered on a national occupational benchmark; local pay, seniority, incentives, and benefits require employer review. No benefits or incentive plan is asserted.

Required skills

statistical inference, experimental design, R or Python, and reproducible analysis

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