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Freelance R Shiny Developer Jobs in Marietta, GA

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

Freelance R Shiny Developer information

See Marietta, GA salary details

$8

$21

$65

How much do freelance r shiny developer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for freelance r shiny developer in Marietta, GA is $21.77, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $17.79 per hour, depending on experience, location, and employer.

What is the difference between Freelance R Shiny Developer vs Data Analyst?

AspectFreelance R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, web app developmentData manipulation, visualization, statistical analysis
Work EnvironmentIndependent, project-based, remote or on-siteCorporate or organizational settings, often full-time
CertificationsR programming, Shiny development experienceData analysis, statistics, or related certifications
Industry UsageTech, healthcare, finance, research projectsBusiness intelligence, market research, reporting

While both roles involve working with data, a Freelance R Shiny Developer specializes in creating interactive web applications using R and Shiny, often on a project basis. A Data Analyst focuses on interpreting data, generating reports, and providing insights within organizations. The developer role emphasizes technical web app skills, whereas the analyst role centers on data interpretation and communication.

What are the key skills and qualifications needed to thrive as a freelance R Shiny developer?

To thrive as a Freelance R Shiny Developer, you need strong proficiency in R programming, Shiny app development, and a solid understanding of data analysis or statistics, often supported by a degree in a quantitative field. Familiarity with version control systems (like Git), cloud deployment platforms, and knowledge of relevant R packages are typically required. Excellent problem-solving, communication, and client management skills set successful freelancers apart. These skills and qualities are essential for delivering effective, user-friendly applications and maintaining strong client relationships in a competitive freelance market.

What is a freelance R Shiny developer?

Freelance R Shiny Developers are independent professionals who design, build, and maintain interactive web applications using R and the Shiny framework. They typically work on a contract or project basis for various clients, helping to transform data analysis and statistical models into user-friendly dashboards and tools. Their responsibilities may include data visualization, UI/UX design, deploying Shiny apps, and integrating them with other technologies. Since they work freelance, they often manage multiple projects and clients simultaneously, offering flexibility and specialized expertise.

What are some common challenges faced by freelance R Shiny developers when working with clients remotely?

Freelance R Shiny developers often encounter challenges such as clearly understanding client requirements, managing communication across different time zones, and ensuring that the application meets both technical and business needs. Since projects are typically remote, it is important to establish regular check-ins, use collaborative tools for feedback, and maintain thorough documentation. Additionally, balancing multiple projects and staying updated on the latest R Shiny features can be demanding, but these practices help ensure successful project delivery and client satisfaction.
What job categories do people searching Freelance R Shiny Developer jobs in Marietta, GA look for? The top searched job categories for Freelance R Shiny Developer jobs in Marietta, GA are:
Infographic showing various Freelance R Shiny Developer job openings in Marietta, GA as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $45,283 per year, or $21.8 per hour.

Bioinformatician

Goldbelt Apex

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Overview
Please note that this position is contingent upon the successful award of a contract currently under bid.
Goldbelt Apex, a part of the Healthcare Technology Transformation Group, is a data-focused company dedicated to process and quality in every aspect. As healthcare IT experts, Apex is committed to building systems that enable healthcare organizations to communicate and exchange data seamlessly across different systems and devices.
Summary:
Goldbelt Apex is seeking a qualified Bioinformatician to provide data management and bioinformatics support services. This role involves managing epidemiological and laboratory data by utilizing various software packages in collaboration with the Centers for Disease Control and Prevention's National Center for Immunization and Respiratory Diseases, particularly within the Division of Viral Diseases and the Viral Vaccine Preventable Diseases Branch (VVPDB).
Responsibilities
Essential Job Functions:
Support the design, development, and implementation of surveillance tools to collect epidemiologic data for Viral Vaccine-Preventable Disease Programs through the following tasks:
  • Maintain epidemiological and laboratory data by using SAS as well as other data management software packages (e.g., R, REDCap, Microsoft Access, Excel, EpiInfo)
  • Support the design, development, and implementation of surveillance tools to collect epidemiologic data
  • Convert existing datasets from a diverse array of file formats (e.g., Microsoft Excel, Access, SQL, and ASCII files) into SAS datasets
  • Design, program, test, modify, enhance, maintain, and support new surveillance applications to collect epidemiological data
  • Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using programming languages such as Python, R, BASH, and SQL)
  • Develop bioinformatics pipelines using parallel programming capabilities through workflow tools, including Snakemake or Nextflow, on Linux-based high-performance computing environments
  • Transform data sources into appropriate file formats for bioinformatics/epidemiological studies
  • Conduct data mining and data curation from public sequence databases to support bioinformatics and molecular epidemiological analyses
  • Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage and visualize laboratory and epidemiological data
  • Submit monthly progress report, detailing achievements and progress on sub-tasks a-i. Please also indicate any project obstacles that need to be overcome

Qualifications
Necessary Skills and Knowledge:
  • Ensure that you are well-acquainted with every responsibility outlined in the essential job functions section above. It's important to have a thorough understanding of these tasks, as they form the backbone of your role.

Minimum Qualifications:
  • Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field
  • Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint)
  • Core experience with analysis of biological datasets encountered in studies of infectious disease (sequencing, protein, phenotype, or other relevant data types)
  • Experience with selection/evaluation of computational approaches to perform analyses of biomedical data.
  • Experience with interpretation, reporting, and documentation of computational analyses over biological datasets
  • US Citizen (birth or naturalization)

Preferred Qualifications:
  • Experience with SAS, R, Python, SQL
  • Surveillance pipeline development
  • Dashboarding tools (Power BI, Tableau, R Shiny)
  • Public health or CDC program support experience

**NOTE: Must be able to potentially obtain security clearances as needed (i.e., Confidential, Secret, or Top Secret)
Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.