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Statistician Jobs in Kansas (NOW HIRING)

Biostatistician

Wichita, KS ยท Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your ...

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

This is a hands-on role that pairs disciplined statistics and process knowledge with modern AI engineering, often delivering minimum viable products under tight timelines and evolving requirements ...

Psychometrician

Leawood, KS ยท On-site +1

You will apply psychological principles and statistical methods to ensure the reliability, validity, and fairness of our assessments, supporting product development and ensuring the accuracy of ...

Your role will be instrumental in advancing innovative statistical methodologies, fostering collaboration across internal and external stakeholders, and ensuring the highest scientific rigor in all ...

Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects. Expertise with ...

New

Data Analysis Tutor

Wichita, KS ยท Remote

$18 - $40/hr

Ability to explain data types, summary statistics, correlation analysis, and visualization best practices while preparing students for business analysis roles, analytics positions, and data-driven ...

Showing results 21-40

Statistician information

See Kansas salary details

$45K

$77.5K

$103.9K

How much do statistician jobs pay per year?

As of Aug 7, 2026, the average yearly pay for statistician in Kansas is $77,520.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $87,800.00 per year, depending on experience, location, and employer.

Are statisticians still in demand?

Statisticians are currently in high demand across various industries such as healthcare, finance, and technology due to the increasing reliance on data analysis and decision-making. Strong skills in statistical software, programming, and data interpretation enhance job prospects in this field.

What are the key skills and qualifications needed to thrive as a statistician, and why are they important?

To thrive as a Statistician, you need strong analytical skills, a solid background in mathematics and statistics, and at least a bachelor's degree in a related field. Proficiency with statistical software such as R, SAS, Python, or SPSS and familiarity with data analysis tools are typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting results and conveying findings to diverse audiences. These skills ensure accurate data-driven insights and support informed decision-making in various industries.

What does a statistician do?

A statistician collects, analyzes, and interprets data to help solve real-world problems in fields such as business, healthcare, government, and science. They design surveys, experiments, or opinion polls to gather data, and then use mathematical techniques and statistical software to interpret their findings. Statisticians play a vital role in decision-making processes by providing accurate data analysis and insights, which can be used to inform policy, optimize processes, or improve products and services.

What are some common challenges statisticians face when working with large datasets, and how are these typically addressed?

Statisticians often encounter challenges such as data quality issues, missing values, and computational limitations when working with large datasets. To address these, they use data cleaning techniques, employ imputation methods for missing data, and leverage specialized statistical software or programming languages like R and Python for efficient data processing. Collaborating closely with data engineers and subject matter experts is also critical to ensure that the data is both accurate and relevant for analysis. Staying updated on best practices and new tools helps statisticians manage these challenges effectively.

What are jobs for statisticians?

Jobs for statisticians include analyzing data to identify trends, developing statistical models, and interpreting results to support decision-making in fields such as healthcare, finance, government, and research. They often work with statistical software like R or SAS and require strong analytical skills and a background in mathematics or statistics. Positions can range from data analyst to research scientist, with opportunities for advancement and specialization.
What are the most commonly searched types of Statistician jobs in Kansas? The most popular types of Statistician jobs in Kansas are:
What are popular job titles related to Statistician jobs in Kansas? For Statistician jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Statistician jobs in Kansas look for? The top searched job categories for Statistician jobs in Kansas are:
What cities in Kansas are hiring for Statistician jobs? Cities in Kansas with the most Statistician job openings:
Infographic showing various Statistician job openings in Kansas as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, 3% Temporary, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $77,520 per year, or $37.3 per hour.

Biostatistician

micro1 AI

Wichita, KS โ€ข Remote

$60 - $65/hr

Part-time

Posted 4 days ago


Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a dynamic customer project focused on AI-assisted clinical research. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Author and review evaluation tasks that require deriving, reproducing, or validating statistical outputs from clinical datasets and associated tables, figures, and listings (TFLs).
  2. Apply expert judgment to assess the correctness and consistency of reported estimates, confidence intervals, p-values, analysis populations, and missing data handling in alignment with the statistical analysis plan (SAP).
  3. Identify discrepancies between statistical outputs and their narrative descriptions in clinical study reports (CSR), including subtle errors in population definitions, censoring rules, or multiplicity handling.
  4. Establish defensible ground truth for each evaluation task, documenting the derivation process to enable independent verification.
  5. Provide structured written rationales distinguishing true statistical errors from acceptable methodological alternatives, employing clear and concise communication.
  6. Collaborate with a multidisciplinary project team, providing statistical insights and feedback as needed to refine evaluation tasks and criteria.


Preferred Qualifications

  1. 5+ years as a biostatistician supporting clinical trials at a sponsor, CRO, or academic trials unit.
  2. Hands-on experience producing or quality controlling TFLs for regulatory submissions and working directly from CDISC SDTM/ADaM datasets.
  3. Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies under ICH E9(R1).
  4. Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications.
  5. Ability to interpret SAPs and ensure reported results are consistent with pre-specified analyses.
  6. Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field.
  7. Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or reviewing CSR statistical sections, oncology endpoint expertise, and exposure to AI-assisted statistical review tools.