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Freelance Data Analyst R Programming Jobs in Missouri

Develop and maintain R-based solutions for statistical programming, data analysis, visualization, and scientific workflows supporting life science and healthcare projects. * Build interactive ...

Data Analyst

Kansas City, MO · On-site

$65K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analyst works closely with the Data Engineer/Data Project Lead, Data Visualization ... GitHub, R, Qualtrics, Tableau or Power BI, ArcGIS * 1+ years of experience supporting federal ...

Data Analyst

Warrensburg, MO · On-site

$22/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze and interpret data for institutional and external reporting: -50% * Development and ... Experience with coding and programming languages such as R, Python and SQL preferred. * Experience ...

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative ... Knowledge of Python/R for data manipulation (optional but beneficial). * Experience with Power ...

Data Analysis * SQL Programming * Python/R Programming * Tableau Proficiency * Direct Mail Campaign Management ATS Optimization Keywords Hard Skills * Data Pipeline Development * Statistical Analysis

New

This is not a Data Engineer role . Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python

$71K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions ... Partner with Commercial, Data Engineering and Science teams to provide better insights into product ...

Data Analyst

Creve Coeur, MO · On-site

$7/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions ... Partner with Commercial, Data Engineering and Science teams to provide better insights into product ...

Data Analyst

Creve Coeur, MO · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions ... Partner with Commercial, Data Engineering and Science teams to provide better insights into product ...

Data Analyst

Creve Coeur, MO

$71K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions ... Partner with Commercial, Data Engineering and Science teams to provide better insights into product ...

$77K - $116K/yr

Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux ... Strong understanding of statistical analysis and predictive modeling * Ability to work ...

Data Analyst Senior

Saint Louis, MO · On-site +1

$107K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

Position Summary The Data Analyst collaborates with business users to create report specifications ... Curiosity to learn and explore new technologies or programming languages to enhance skills and ...

Data Analyst

Saint Louis, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Understands client/server computing architecture, user interfaces and application programing ...

$66K - $83K/yr

  • PTO

You will work closely with Product, Game Operations, Marketing, CRM, Engineering, and other cross ... Experience using Python or R for data analysis, statistical modeling, or automation. * Hands-on ...

Our partner is looking for a Data Analyst based in Netherlands. This is a senior analytics ... Analyze developer and user acquisition funnels, retention, engagement, and ecosystem growth metrics.

Principal, Data Analyst

Louisiana, MO · On-site

$109 - $155/hr

The position serves as both a technical lead and subject matter expert , guiding other data analysts while working closely with developers, business stakeholders, clients, and vendors. Your role in ...

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Freelance Data Analyst R Programming information

What does a freelance data analyst with R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

What are the key skills and qualifications needed to thrive as a freelance data analyst with R programming?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.

What is the difference between Freelance Data Analyst R Programming vs Freelance Data Scientist R Programming?

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

What are the most commonly searched types of Data Analyst R Programming jobs in Missouri?

The most popular types of Data Analyst R Programming jobs in Missouri are:

What are popular job titles related to Freelance Data Analyst R Programming jobs in Missouri?

For Freelance Data Analyst R Programming jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Freelance Data Analyst R Programming jobs in Missouri look for?

The top searched job categories for Freelance Data Analyst R Programming jobs in Missouri are:

Infographic showing various Freelance Data Analyst R Programming job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

R Developer with Bio Background

Jobgether

On-site, Remote

Full-time

Posted 13 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a R Developer with Bio Background based in Netherlands.

Join a mission-driven engineering team where your expertise in R, data science, and life sciences will contribute to impactful solutions across drug discovery and clinical research. In this role, you will design and develop data-driven applications that help scientists and researchers make better decisions using complex biological and clinical data. You will combine software engineering skills with domain knowledge in bioinformatics, clinical workflows, and regulated environments. Working alongside experienced engineers, data scientists, and life science specialists, you will build scalable solutions with real-world scientific impact. This fully remote opportunity offers strong ownership, technical challenges, and the chance to grow within a collaborative, innovation-focused environment.

Accountabilities
  • Develop and maintain R-based solutions for statistical programming, data analysis, visualization, and scientific workflows supporting life science and healthcare projects.
  • Build interactive applications and data tools using R/Shiny to help researchers and clinical teams explore, interpret, and act on complex datasets.
  • Design, implement, and maintain reproducible data processing pipelines while following software engineering and quality standards.
  • Work with clinical, scientific, and technical stakeholders to gather requirements, manage priorities, and translate business needs into effective technical solutions.
  • Apply knowledge of clinical trial processes, bioinformatics workflows, and regulated environments to deliver reliable and compliant data solutions.
  • Support the development and maintenance of reusable R packages, tools, and frameworks that improve scalability and efficiency.
  • Collaborate with multidisciplinary teams to solve complex data challenges across areas such as drug development, clinical research, and biological analysis.
Requirements
  • Strong proficiency in R programming for statistical analysis, data manipulation, visualization, and application development.
  • Experience working with life sciences, bioinformatics, biostatistics, or related scientific domains.
  • Knowledge of CDISC standards including SDTM, ADaM, and SEND, along with familiarity with industry best practices.
  • Experience with TLF programming (Tables, Listings, and Figures) and understanding of clinical data reporting processes.
  • Knowledge of validation principles and working practices within GxP-regulated environments.
  • Experience with Medical Data Review, Pharmacovigilance, and clinical trial workflows.
  • Familiarity with Git or other version control systems and modern software development practices.
  • Experience gathering requirements, managing backlogs, and collaborating with cross-functional teams.
  • Master's degree in bioinformatics, computer science, data science, biostatistics, mathematics, or equivalent professional experience.
  • Additional experience with R/Shiny applications, Nextflow pipelines, bioinformatics tools and databases, molecular biology concepts, Bioconductor, BLAST, NCBI, EMBL, PDB, PubMed, or R package development is considered an advantage.
  • Ability to work effectively in a remote international environment and communicate clearly in English.
Benefits
  • Fully remote work opportunity across Europe, Poland, or LATAM with flexible working hours.
  • Meaningful projects supporting drug discovery, clinical trials, and scientific decision-making.
  • High level of technical ownership with opportunities to design and evolve impactful data applications.
  • Collaboration with experienced engineers, data scientists, bioinformaticians, and life science professionals.
  • Competitive B2B compensation aligned with experience and career level.
  • Professional development support through learning opportunities, conferences, workshops, and continuous growth initiatives.
  • Remote-first culture built on trust, autonomy, collaboration, and thoughtful problem-solving.
  • Opportunity to contribute to open-source projects and grow as an R and R/Shiny specialist.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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