✓
🎬 Intro
View profile
A freelance statistician gives you rigorous, defensible statistical analysis — for clinical research, product experimentation, survey analysis, or regulatory reporting — without the overhead of a permanent hire. Statistics is the discipline that separates conclusions you can defend from conclusions that fall apart under scrutiny: proper experimental design, correct test selection, valid assumptions, and results that hold up to peer review or regulatory inspection. Whether you need a statistician for a clinical trial analysis, an A/B test evaluation, a research paper, or a predictive model, the freelance format matches the project scope.
Describe your need. Write your own job post or generate one with AI, then filter talent profiles.
Chat, interview, and hire quickly so you can meet the freelancer you're excited about working with.
Message or video call, share files, and track project progress right from the platform.
Unlike Upwork or Toptal, RemoteAI takes zero commission when you hire. Agree terms directly with your talent. Ready-made services show their small service fee up front.
A freelance statistician gives you rigorous, defensible statistical analysis — for clinical research, product experimentation, survey analysis, or regulatory reporting — without the overhead of a permanent hire. Statistics is the discipline that separates conclusions you can defend from conclusions that fall apart under scrutiny: proper experimental design, correct test selection, valid assumptions, and results that hold up to peer review or regulatory inspection. Whether you need a statistician for a clinical trial analysis, an A/B test evaluation, a research paper, or a predictive model, the freelance format matches the project scope.
Freelance statisticians on RemoteAI perform the full range of statistical analysis work companies and researchers need without a permanent hire: designing experiments and clinical trials with proper power calculations, sample size determination, and randomization strategy; performing regression analysis — linear, logistic, Poisson, mixed effects — with assumption checking and validation; conducting survival analysis with Kaplan-Meier curves, log-rank tests, and Cox proportional hazards models for clinical and actuarial data; designing and analyzing A/B tests and multivariate experiments for product, marketing, and pricing decisions; performing Bayesian statistical analysis for decision-making under uncertainty; analyzing survey data with weighting, stratification, and non-response adjustment; writing statistical analysis plans and results reports for FDA submissions, journal papers, and board presentations; conducting time series analysis and forecasting with ARIMA, exponential smoothing, and state space models; and advising on statistical methodology for research design and grant applications.
Finding the right freelance statistician requires more than evaluating technical skills — it means identifying someone who ships production-ready work and understands your business goals. Here is exactly how to do it.
"Does our new onboarding flow increase 30-day retention at p<0.05 with 80% power?" is a better brief than "analyze our A/B test." The decision determines the right test, the required sample size, and what constitutes a meaningful effect size.
Running a t-test in R is not statistics — it is software execution. Real statistical expertise means selecting the right test for the data structure, verifying assumptions, handling violations, and interpreting results correctly. Ask candidates to explain why they chose a specific method for a past analysis.
Clinical biostatistics, A/B testing for SaaS products, and econometrics each have domain-specific methods and conventions. A statistician with clinical trial experience may not know the right approach for a product experiment — and vice versa. Specify your domain and application in the brief.
For any serious analysis, the right first deliverable is a statistical analysis plan (SAP) — written before data is seen — that specifies the primary endpoint, analysis method, sample size, and handling of missing data. This prevents post-hoc fishing and produces defensible results.
Freelance Statisticians on RemoteAI charge based on project scope and experience level. The following ranges reflect typical engagements for each type of project.
A freelance statistician designs experiments, analyzes data using rigorous statistical methods, and interprets results for research, clinical trials, product experimentation, and regulatory reporting. They select appropriate methods, verify assumptions, and produce defensible conclusions — on a project basis.
Hire a statistician when you need rigorous inference — clinical trial analysis, regulatory submissions, peer-reviewed research, or defensible A/B test conclusions. Hire a data scientist when you need predictive models, ML systems, or large-scale data exploration. The distinction matters: a data scientist optimizes for prediction; a statistician optimizes for valid inference.
Mid-level freelance statisticians charge $65–$120/hr. Senior statisticians with clinical trial, biostatistics, or regulatory submission experience charge $120–$200/hr. Project rates range from $1,500 for a focused analysis to $120,000+/year for ongoing advisory work.
Yes — clinical trial statistical analysis is a core freelance statistics engagement. A freelance biostatistician will write the statistical analysis plan, perform the primary and secondary endpoint analyses, produce CONSORT-compliant tables, and prepare the statistical sections of the clinical study report for regulatory submission.
Yes — experimental design and A/B test analysis are common freelance statistics engagements for tech companies. A freelance statistician will calculate required sample sizes, design the randomization strategy, select the appropriate test (t-test, Chi-square, Mann-Whitney, or Bayesian alternatives), and interpret results correctly — including multiple comparison corrections for multi-variant tests.