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Remote Data Science R Jobs in Nashville, TN (NOW HIRING)

Quorum Health

Senior Data Analyst

Brentwood, TN · Remote

$81K - $102K/yr

Remote Reports to: AVP of RCM Analytics You must reside in one of these states to be eligible for ... Science, or related fields. * 3+ years of progressively responsible experience in healthcare ...

QHC ARM Shared Services

Senior Data Analyst

Brentwood, TN · Remote

$81K - $102K/yr

Remote Reports to: AVP of RCM Analytics You must reside in one of these states to be eligible for ... Science, or related fields. * 3+ years of progressively responsible experience in healthcare ...

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All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Nashville, TN

Remote Data Science R information

See Nashville, TN salary details

$36.2K

$118.6K

$189.8K

How much do remote data science r jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data science r in Nashville, TN is $118,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,400.00 per year, depending on experience, location, and employer.

What is a remote data science R?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

How do remote data science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data science R, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are the most commonly searched types of Data Science R jobs in Nashville, TN?

The most popular types of Data Science R jobs in Nashville, TN are:

What are popular job titles related to Remote Data Science R jobs in Nashville, TN?

For Remote Data Science R jobs in Nashville, TN, the most frequently searched job titles are:

What job categories do people searching Remote Data Science R jobs in Nashville, TN look for?

The top searched job categories for Remote Data Science R jobs in Nashville, TN are:

What cities near Nashville, TN are hiring for Remote Data Science R jobs?

Cities near Nashville, TN with the most Remote Data Science R job openings:

Remote Data Science R jobs near you
Infographic showing various Remote Data Science R job openings in Nashville, TN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,553 per year, or $57 per hour.

Product Quality & Support Engineer (Remote)

EvidenceCare

Nashville, TN • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Location: Nashville, TN; Chicago, IL; or Remote 

Position Type: Full Time  

Pay: Salary  

Reports to: VP of Product Delivery & Operations 

Company Overview: 
EvidenceCare is a fast-paced, fun-filled tech company scaling their market share with innovative healthcare products. Our products not only address the needs of inefficient healthcare delivery but also disrupt the status quo. 

EvidenceCare is a unique clinical decision support system (CDSS) because of its EHR-integrated platform that optimizes clinician workflows to deliver better patient care, reduce hospital costs, and capture more revenue. Founded in response to the professional experience of emergency physician Dr. Brian Fengler, the platform provides clinicians with evidence-based care and measurable outcomes. 

Company Vision: We envision a day when every clinical decision will deliver the right care at the right time. 
Company Mission: Empower better care decisions.  
Company Values: Grit, Respect, Innovation, Teamwork, Integrity, and Fun 

The type of people who succeed at EvidenceCare: 
We want go-getters who wake up every day ready to join the next adventure and end the day having accomplished something meaningful. Life is too short not to wake up with a purpose to pursue and a team that encourages you in that pursuit.  

We want every team member to pursue their dreams while at EvidenceCare and to enjoy the journey together.  

We want people who communicate well, take ownership of projects, but also work collaboratively in team settings and desire to get a little bit better each day.  

Position Summary:  

We are looking for a quality and support specialist who can help us ensure that our applications are reliably delivering the value they promise, that our deployments are consistently adding innovation without introducing regression issues, and our systems are functioning as expected. The ideal candidate will be comfortable with both technical testing tasks and interacting with customers to expediently address their concerns or issues.  

Our team is dedicated to improving healthcare provider workflows and driving client success, and you will be a key member. 

You will work in a fast-paced growth environment with the unique opportunity to demonstrate and develop a wide range of skills, work with smart and dedicated people, and address the real-world complexity of healthcare technology in a clinical setting. 

Roles and Responsibilities 

  • Collaborate with the Product and Engineering teams to deeply understand product requirements, technology, and expected functionality 
  • Develop a deep appreciation for both the user experience and the EvidenceCare's product value propositions 
  • Take a direct role in the software development cycle and live customer support 
  • Lead EvidenceCare's Product Quality efforts by designing and executing test plans. 
  • Work with both existing product features and the newest development, taking responsibility for both unit and end-to-end testing. 
  • Take ownership for identifying, triaging, prioritizing and resolving issues, including customer-reported problems 
  • Engage with customers to not only resolve immediate issues but also to identify insights that can help prevent issues in the future 
  • Maintain reliability and innovation while avoiding regressions,  
  • Assess and anticipate risks; be proactive 
  • Build and maintain automated test frameworks; apply LLMs to expand test coverage, surface anomalies, and improve observability across product and integration surfaces 

Minimum Requirements: 

  • Bachelor's degree is required. Ideal candidates will have a degree in software engineering, biomedical engineering, information systems, computer science, data science, statistics or other related discipline 
  • Ability and interest in developing new testing frameworks, improving test quality 
  • Committed to ensuring clinical end users see correct data and have the best possible user experience 
  • Proven track record for successfully maintaining application quality  

Useful Experience:  

  • Creating and managing ticket queues for bug and customer support issues. 
  • Writing SQL queries for data analysis and data quality review. 
  • Working with clinical software, EHR/EMRs, and interface engines. 
  • Familiarity with healthcare standards, especially HL7/FHIR, and healthcare code sets (e.g., LOINC, SNOMED, CPT, ICD-10). 
  • API designs, web services, RESTful APIs, XML, JSON, and SOAP. 
  • Writing automated test scripts using tools like Postman, Playwright, Selenium, etc.  
  • Experience using LLMs as a development tool for test generation, log analysis, or workflow automation 
  • Hands-on use of LLM-based tools to automate or augment technical workflows  

Benefits: 

  • Competitive salary + stock option opportunities 
  • Unlimited PTO 
  • Distributed work environment (hybrid, in-office (TN), and fully remote) 
  • Medical, Dental, Vision, & Life Insurance Benefit Plans  
  • Company 401k plan  
  • Periodic travel, frequent company and team outings to celebrate wins and life together