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Afternoon Data Analyst R Programming Jobs in Wichita, KS

micro1 AI

Director of Biostatistics

Wichita, KS · Remote

$60 - $65/hr

... data strategies under ICH E9(R1). * Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written specifications. * Ability to interpret SAPs and ensure reported ...

PDS Tech Commercial

Supplier Quality Analyst

Wichita, KS

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Compile, track, and analyze quality data and program metrics. * Prepare monthly reports and other management reporting requirements. * Participate in project-related quality initiatives and ...

AAA USA Inc

Structural Analysis Engineer

Wichita, KS · On-site

The Structural Analysis Engineer is responsible for analyzing, designing, and validating the ... data * Demonstrated experience effectively communicating within a team environment * Working ...

Aperia Technologies

Solutions Engineer, Remote

Wichita, KS · On-site

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ... Proficiency in SQL and Python is required; experience with additional programming languages or ...

CAMP Systems

EHM Analyst

Wichita, KS · On-site

Responsibilities: * Analysis of gas path performance data to identify premature engine ... Bachelor's degree in Mechanical Engineering or equivalent aviation maintenance (A&P/AMT License) or ...

Camp Systems International

EHM Analyst

Wichita, KS · On-site

Responsibilities: * Analysis of gas path performance data to identify premature engine ... Bachelor's degree in Mechanical Engineering or equivalent aviation maintenance (A&P/AMT License) or ...

Camp

EHM Analyst

Wichita, KS · On-site

Responsibilities: * Analysis of gas path performance data to identify premature engine ... Bachelor's degree in Mechanical Engineering or equivalent aviation maintenance (A&P/AMT License) or ...

Enterprise

Entegral Financial Analyst

Wichita, KS · On-site

$75K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with product and engineering teams to optimize data structures and standards for data ingestion * Query and analyze large datasets (using SQL) to uncover hidden trends, patterns, and root ...

Atria Group LLC

ERP Solution Analyst

Wichita, KS · On-site

Our company provides application analysis, design, development and programming, software ... data flow of Source data through the business process supported by the configured software.

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Wichita, KS

Afternoon Data Analyst R Programming information

See Wichita, KS salary details

$30.4K

$73.9K

$121.7K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 16, 2026, the average yearly pay for afternoon data analyst r programming in Wichita, KS is $73,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $86,800.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Wichita, KS?

For Afternoon Data Analyst R Programming jobs in Wichita, KS, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Wichita, KS look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Wichita, KS are:

What cities near Wichita, KS are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Wichita, KS with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Wichita, KS as of August 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 100% In-person job distribution, with an average salary of $73,930 per year, or $35.5 per hour.

Director of Biostatistics

micro1 AI

Wichita, KS • Remote

$60 - $65/hr

Part-time

Posted 12 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 — 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.

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