Biostatistician

Hi Rasmus•Nashville, TN

7d•$112,000 - $132,000•Remote

About The Position

The Biostatistician is the quantitative foundation of Hi Rasmus’s Research & Clinical Impact team. This senior, hands-on, function-building role is the team’s first hire and is responsible for conducting analyses while establishing the statistical methods and technical standards that future work will build on. The role reports to the Head of Research & Clinical Impact and partners closely with Data & Engineering, Clinical Product Strategy, Product, and Legal & Compliance. The Biostatistician owns statistical methods and analyses used to measure clinical impact across access, learner outcomes, and social validity. Working with real-world clinical data from care organizations of varying sizes and models, the role develops fair benchmarks and interpretation methods, validates measures, and assesses what the evidence can responsibly support. The work informs research reports, product decisions, customer conversations, and payer discussions, with scientific conclusions reported as favorable, mixed, or inconclusive according to the evidence. The role designs and executes analyses suited to observational data, including approaches to confounding, missing data, clustered data, and repeated measures. It also supports prospective studies, research protocols, IRB submissions, publications, white papers, conference presentations, the annual Hi Rasmus Clinical Impact Report, and evidence or measurement frameworks for payer and value-based care initiatives. The position has authority to choose statistical methods within the research agenda and study designs overseen by the Head, and to set standards for documenting, reproducing, and reviewing analyses. Product owns implementation and prioritization of product capabilities. The successful candidate is a rigorous, collaborative quantitative scientist who can communicate complex findings and their limitations to clinical, executive, and non-technical audiences. They value qualitative and lived-experience evidence alongside quantitative evidence, maintain scientific independence, and are motivated to help define meaningful measures of quality, outcomes, and value in autism care. This is a full-time, exempt position based remotely in the United States. Compensation is $112,000 to $132,000 annually.

Requirements

Master’s or doctoral degree in biostatistics, statistics, epidemiology, public health, quantitative psychology, or a related field.
At least 5 years of experience applying statistical methods to real-world or observational data.
Strong grounding in regression, multilevel and mixed-effects modeling, longitudinal analysis, and risk adjustment.
Knowledge of causal-inference, prediction, or stratification methods for observational data, including thoughtful handling of missing data.
Experience with psychometric and survey measurement methods, including reliability, validity, and factor analysis.
Proficiency in R or Python and SQL.
Experience with version control, such as Git, and commitment to reproducible analytic workflows.
Experience writing statistical analysis plans and working within research ethics requirements such as IRB review.
Ability to explain complex statistical findings, including uncertainty and limitations, to clinical, executive, and non-technical audiences.
Collaborative approach to working with clinicians, engineers, product, and compliance colleagues, and willingness to learn from customers and people represented in the data.
Commitment to scientific rigor, independence, and reporting mixed or inconclusive findings as readily as favorable findings.

Nice To Haves

Experience applying statistical methods in healthcare, behavioral health, education, or health services research.
Experience with autism services or applied behavior analysis data, including single-case experimental designs.
Experience with value-based care or healthcare quality measurement.
Contributions to peer-reviewed publications, posters, or conference presentations.
Comfort building foundations as a first hire on a team.

Responsibilities

Build the statistical methodology behind the clinical-impact framework, including benchmarks and interpretation methods that support fair comparisons across organizations with different sizes and case mixes.
Validate outcome and social-validity measures using psychometric methods so they reflect what matters to autistic learners, families, and clinicians.
Assess what conclusions the data can support, identify what additional evidence stronger claims would require, and communicate findings to the Head of Research & Clinical Impact.
Design and execute analyses of large-scale real-world clinical data using methods suited to observational data, including handling confounding, missing data, clustered data, and repeated measures.
Evaluate whether observed progress is attributable to care delivered rather than merely associated with it.
Write statistical analysis plans and analytic sections of protocols, and contribute to prospective studies, partnerships, and IRB submissions.
Define the statistical relationship between short-term progress indicators and longer-term outcomes, including whether short-term measures are credible leading indicators.
Develop thresholds, flagging or stratification methods, and interpretation approaches for identifying meaningful patterns in outcomes data.
Provide statistical specifications for product-ready measures, while Product retains responsibility for implementation and prioritization.
Establish technical standards for analysis documentation, reproducibility, and review, and create reproducible analytic workflows and analysis-plan templates.
Co-author publications and white papers and provide the analytic foundation for the annual Hi Rasmus Clinical Impact Report and evidence packages.
Report what the evidence supports, including mixed or inconclusive findings, independently of commercial or product interests.
Contribute data-use standards and statistical components of research agreements, and advise on standards for using findings and claims.
Partner with Data & Engineering on data access, data quality, and analytical infrastructure, defining the needs of each analysis.

Benefits

100% covered health, dental, and vision premiums for the employee-only standard plan; family coverage is available at variable cost.
Employer-sponsored short-term disability coverage.
Employer-sponsored life insurance.
Optional group benefits, including AD&D and long-term disability.
Participation in a 401(k) plan through Empower.
Professional development opportunities.
Room for growth within the company.
Paid time off: 10 vacation days, 5 sick days, 7 paid holidays, and 3 floating holidays.
Six weeks of fully paid leave for all parents and caregivers.
Up to 14 weeks of paid leave for birthing parents.
Fully remote and flexible work environment.