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Flex R Shiny Developer Jobs (NOW HIRING)

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 ...

Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and ...

Senior Process Engineer

Dallas, TX · On-site

$90K - $130K/yr

Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ... Partner with operations, quality, safety and engineering teams on short term and long term ...

Senior Process Engineer

Dallas, TX · On-site

$90K - $130K/yr

Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ... Partner with operations, quality, safety and engineering teams on short term and long term ...

Data Engineer

Louisville, KY · On-site

$104K - $125K/yr

... and R Shiny or similar tools. * Focus on data products that integrate internal financial, supply ... Comfortable with "change as the only constant" and willing to flex as priorities shift; understands ...

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Flex R Shiny Developer information

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

As of Jun 14, 2026, the average hourly pay for flex r shiny developer in the United States is $49.33, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $67.31 per hour, depending on experience, location, and employer.

What are Flex R Shiny Developers?

Flex R Shiny Developers are professionals who specialize in building interactive web applications using R, particularly leveraging the Shiny package. They often focus on creating flexible, user-friendly dashboards and data visualization tools for data analysis and reporting needs. These developers typically have strong skills in R programming, UI/UX design within Shiny, and may integrate other tools or frameworks to enhance app performance and appearance. Their expertise is valuable for organizations that need dynamic data-driven applications, especially in research, healthcare, and business analytics.

What are the key skills and qualifications needed to thrive as a Flex R Shiny Developer, and why are they important?

To thrive as a Flex R Shiny Developer, you need strong programming skills in R, proficiency in building interactive web applications with Shiny, and a solid understanding of data analysis or statistics. Experience with version control systems like Git, familiarity with front-end technologies (HTML, CSS, JavaScript), and knowledge of deployment tools such as Shiny Server or Docker are often required. Effective communication, problem-solving abilities, and the capacity to work collaboratively with stakeholders are valuable soft skills in this role. These competencies are vital for developing robust, user-friendly data applications that meet organizational needs and support effective decision-making.

How does a Flex R Shiny Developer typically collaborate with data scientists and stakeholders during a project lifecycle?

As a Flex R Shiny Developer, you play a key role in bridging the gap between data science teams and end-users or business stakeholders. You'll frequently work alongside data scientists to understand analytical objectives and translate them into interactive Shiny applications that visualize and communicate data insights effectively. Regular collaboration with stakeholders is essential to gather requirements, iterate on user interface designs, and ensure the applications meet user needs. Effective communication and adaptability are critical, as project priorities may shift and requirements can evolve rapidly throughout the development process.

What is the difference between Flex R Shiny Developer vs R Shiny Developer?

AspectFlex R Shiny DeveloperR Shiny Developer
Required SkillsProficiency in R, Shiny, and Flexbox/CSS for responsive designStrong R and Shiny skills, basic CSS knowledge
Work EnvironmentCollaborates with UI/UX teams, often in flexible, dynamic projectsFocuses on developing interactive dashboards primarily in R
Industry UsageUsed in data visualization, analytics, and web app developmentPrimarily in data science, analytics, and reporting

Flex R Shiny Developers specialize in creating responsive, flexible web applications using R and Shiny, with an emphasis on UI design with CSS and Flexbox. R Shiny Developers focus on building interactive dashboards and data apps in R. While both roles require strong R and Shiny skills, Flex R Shiny Developers also have expertise in front-end responsiveness, making them suitable for projects requiring adaptable interfaces.

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Bioinformatician

Bioinformatician

Goldbelt, Inc.

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 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.