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Biostatistician

Job in Murfreesboro, Rutherford County, Tennessee, 37247, USA
Listing for: Hi Rasmus
Full Time position
Listed on 2026-10-30
Job specializations:
  • Research/Development
    Data Scientist, Clinical Research, AI Evaluation, Research Analyst
Salary/Wage Range or Industry Benchmark: 112000 - 132000 USD Yearly USD 112000.00 132000.00 YEAR
Job Description & How to Apply Below
Biostatistician

Department: Outcomes & Research

Employment Type: Full Time

Location: United States - Remote

Compensation: $112,000 - $132,000 / year

Description

Reports to: Head of Research & Clinical Impact

Department: Research & Clinical Impact

Location: Fully remote, United States

Employment: Full-time;
Exempt

Compensation: $112,000 to $132,000 annually

The Role

The Biostatistician is the quantitative foundation of the Research & Clinical Impact team. You will help Hi Rasmus evaluate its impact rigorously by designing the methodology, benchmarks, and analytical standards that let us say what our data does, and does not, show, whether the findings are favorable, mixed, or inconclusive.

You will own the statistical methods and analysis behind how Hi Rasmus measures clinical impact across access, learner outcomes, and social validity, working with real-world clinical data from care organizations of every size and model. The Head of Research & Clinical Impact owns the research agenda and the standards for clinical evidence and claims, and you will inform both with what the analyses support.

Your work is the rigor that lets what we learn travel credibly into research reports, product decisions, customer conversations, and payer discussions.

This is a senior, hands-on role with real influence, and it is function-building: you will be the first hire on the team, doing the analysis yourself while setting the technical standards others will build on. You will partner closely with the Head of Research & Clinical Impact, Data & Engineering, and Clinical Product Strategy.

Your first-year focus will center on three business outcomes. In partnership with your manager and cross-functional peers, you will translate these into specific targets and operating plans.

We want a clear, consistent way to measure access, learner outcomes, and social validity across very different organizations, including whether outcomes are meaningful to autistic learners, families, and clinicians. You will build the statistical foundation for it.

How we will know it is working:

  • First 90 days from your start: you have audited our existing outcomes data and documented what it can and cannot support.
  • Months 3–4: the Head of Research & Clinical Impact defines the clinical-impact framework and the standards for what Hi Rasmus can and cannot responsibly claim, and you take on its statistical methodology as you join.
  • Months 6–8: benchmarks and interpretation methods are in use across research, Product, and Commercial work.
  • Month 12: your analysis forms the foundation for the first annual Hi Rasmus Clinical Impact Report.

Customers, payers, partners, and journal reviewers will judge our evidence by its rigor. You will make sure our studies hold up to that scrutiny and that we report what the evidence supports, including mixed or inconclusive findings, regardless of how it might be used commercially.

How we will know it is working:

  • Within your first 6 months: reproducible analytic workflows, analysis-plan templates, and data-use standards are in use, built with Data & Engineering and Legal & Compliance.
  • Ongoing through months 12–18: you have provided the analytic foundation for the strategic evidence assets prioritized by the Head of Research & Clinical Impact, such as peer-reviewed work, white papers, and conference presentations.
  • Months 12–18: you have helped build the evidence and measurement framework used in our first payer or value-based care initiative, depending on the timing of payer partnerships.

Providers, families, and payers need measures they can trust to show whether care is working. You will build the statistical foundation for those measures, including whether short-term indicators of progress are credible signals of longer-term…

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