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Remote R Shiny Developer Jobs in Denver, CO (NOW HIRING)

Data Engineer, Senior

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246521 Location: Aurora,CO,US Share job via: Share Data Engineer ... R and database technologies including PostgreSQL, SQLite, and ElasticSearch * Ability to select and ...

Remote Reports to: Senior Manager, Business Analytics Employment Type: Full-Time FLSA ... Experience with Power Apps, Power Automate, Python, R. Physical Demands and Work Environment The ...

... solve engineering problems, performing statistical analysis, and coding (e.g. SQL, Python, R ... Remote work model #LI-REMOTE * Competitive benefits package and competitive total compensation * An ...

Data Engineer, Senior

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247077 Location: Aurora,CO,US Share job via: Share Data Engineer ... R, Python, or SQL or NoSQL * 2+ years of experience with distributed data and computing tools ...

If remote, candidates should be located near a major metro area. This role is contributing to the ... Lead crossfunctional execution across engineering, operations, supply chain, and sales to ...

Customer Account Executive

Denver, CO · On-site +1

$100K - $125K/yr

A strong desire to join a high-growth software startup in a fully remote role * Has sold developer and/or technical products, especially in a product-led growth (PLG) motion * Experience presenting ...

Data Scientist, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247079 Location: Aurora,CO,US Share job via: Share Data Scientist ... Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL * Experience with ...

Showing results 21-40

Remote R Shiny Developer information

See Denver, CO salary details

$14

$50

$91

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

As of Aug 18, 2026, the average hourly pay for remote r shiny developer in Denver, CO is $50.77, according to ZipRecruiter salary data. Most workers in this role earn between $27.21 and $69.28 per hour, depending on experience, location, and employer.

What is a remote R Shiny developer?

A Remote R Shiny Developer is a software professional who specializes in building interactive web applications using the R programming language and the Shiny package, while working from a location outside of a traditional office setting. These developers are responsible for designing, coding, and maintaining Shiny apps that allow users to visualize and analyze data interactively. They often collaborate with data scientists, analysts, and business stakeholders to deliver solutions for data-driven decision making. Remote R Shiny Developers need strong skills in R programming, web development, and communication tools to work effectively in distributed teams.

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

To thrive as a Remote R Shiny Developer, you need strong proficiency in R programming, data visualization, and experience building interactive web applications with Shiny, often supported by a degree in computer science, statistics, or a related field. Familiarity with version control systems like Git, deployment tools such as Shiny Server or Docker, and knowledge of SQL databases are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively in remote teams and deliver user-focused solutions. These skills ensure robust, maintainable applications and smooth teamwork in a distributed work environment.

What are some common challenges faced by remote R Shiny developers when collaborating with distributed teams?

Remote R Shiny Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication regarding project requirements, and maintaining code consistency within a collaborative environment. To address these, teams typically rely on regular virtual meetings, shared documentation, and version control systems like Git. Building strong communication skills and being proactive in providing updates can help streamline teamwork and reduce misunderstandings, ultimately leading to more efficient project delivery.

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

AspectRemote R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, data visualization, web app developmentData manipulation, statistical analysis, Excel, SQL
Work EnvironmentRemote, project-based, software development teamsRemote or on-site, business intelligence teams
Industry UsageTech, healthcare, finance, researchFinance, marketing, healthcare, consulting

Remote R Shiny Developers focus on building interactive web applications using R and Shiny, often working in software or tech environments. Data Analysts analyze data sets to generate insights, typically using statistical tools and visualization software. While both roles may work remotely and require analytical skills, R Shiny Developers specialize in app development, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of R Shiny Developer jobs in Denver, CO?

The most popular types of R Shiny Developer jobs in Denver, CO are:

What job categories do people searching Remote R Shiny Developer jobs in Denver, CO look for?

The top searched job categories for Remote R Shiny Developer jobs in Denver, CO are:

What cities near Denver, CO are hiring for Remote R Shiny Developer jobs?

Cities near Denver, CO with the most Remote R Shiny Developer job openings:

AI Training Specialist - Life Sciences

micro1 AI

Arvada, CO • Remote

$90 - $120/hr

Part-time

Posted 21 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. 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. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.