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Remote Data Science R Jobs in Maryland (NOW HIRING)

Econometrica

Data Scientist

Bethesda, MD · On-site +1

Job Title Data Scientist Job Type Full-time Location Bethesda Office - Bethesda, MD 20814 US (Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is a research and ...

NinjaOne

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

... science across NinjaOne's expanding product offering. You'll build the pipelines and data ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

NinjaOne

Senior Data Engineer

Baltimore, MD · On-site +1

$105K - $143K/yr

... science across NinjaOne's expanding product offering. You'll build the pipelines and data ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

SAIC

Data Architect

Aberdeen Proving Ground, MD · Remote

$120K - $160K/yr

Data Scientist Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: Secret Clearance Level Must Be Able to Obtain: TS/SCI Potential for Remote Work: ORA_ON ...

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All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Maryland

Remote Data Science R information

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 popular job titles related to Remote Data Science R jobs in Maryland?

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

What job categories do people searching Remote Data Science R jobs in Maryland look for?

The top searched job categories for Remote Data Science R jobs in Maryland are:

What cities in Maryland are hiring for Remote Data Science R jobs?

Cities in Maryland 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 Maryland as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Clinical Transformation Data Scientist, Remote

University of Maryland Medical System

Baltimore, MD • On-site, Remote

$544K/yr

Full-time

Posted 13 days ago

Job description

Job Requirements
Join a leading academic medical center dedicated to advancing healthcare through innovation and data-driven insights. We are committed to transforming clinical care by leveraging cutting-edge analytics and fostering a culture of continuous improvement.
We are seeking a highly skilled Clinical Transformation Data Scientist to join our team in 2026. This role focuses on applying advanced data science techniques to healthcare data within an academic medical center setting. The ideal candidate will drive clinical transformation initiatives by developing predictive models, optimizing clinical workflows, and generating actionable insights that improve patient outcomes and operational efficiency.
Responsibilities:
  • Collaborate with multidisciplinary clinical and research teams to identify opportunities for data-driven clinical transformation.
  • Develop, validate, and deploy machine learning models and advanced analytics solutions tailored to healthcare challenges.
  • Analyze large, complex healthcare datasets including electronic health records (EHR), imaging, genomics, and patient-reported outcomes.
  • Translate data insights into strategic recommendations to enhance clinical decision-making and patient care pathways.
  • Support clinical trials and research projects by providing robust data analysis and visualization.
  • Ensure compliance with healthcare regulations and data privacy standards in all data handling and analysis activities.
  • Communicate findings effectively to both technical and non-technical stakeholders through reports, presentations, and dashboards.
  • Stay current with emerging data science methodologies, healthcare technologies, and industry best practices.

Work Experience
The ideal candidate will possess strong technical expertise in the latest data science technologies, applications, and software. This role requires hands-on experience with machine learning, artificial intelligence (AI), predictive modeling, and advanced analytics to drive clinical transformation initiatives.
Education and Experience
  • Master's in Data Analysis field or a related field required. Doctoral preferred.
  • Three (3) years of Data Analytics and Database Management experience required
  • Clinical Background preferred
  • Developing and implementing machine learning models and AI-driven solutions to enhance clinical decision-making and operational efficiency.
  • Utilizing predictive modeling and cognitive analytics to extract actionable insights from complex healthcare data.
  • Collaborating with clinical and technical teams to translate data-driven insights into impactful clinical transformation strategies.
  • Leveraging advanced Epic tools such as Cogito Cloud, Nebula, and Agent Factory to optimize data workflows and analytics processes.
  • Maintaining up-to-date knowledge of emerging data science technologies and best practices in healthcare analytics.

Knowledge, Skills and Abilities
  • Proven experience in data science with a focus on machine learning, AI, predictive modeling, and advanced analytics.
  • Familiarity with AI and cognitive analytics is highly desirable.
  • Experience working with advanced Epic tools (Cogito Cloud, Nebula, Agent Factory) is a strong plus.
  • Epic certifications are highly preferred.
  • Statistical analysis (experience with tools such as SAS, SPSS)
  • Experience using Tableau and/or Smartsheets software for data visualization
  • Excel expert including macros, visual basic
  • Advanced SQL, Excel and Vizient query languages and database design
  • Metric quantitative and qualitative analysis
  • Experience in data manipulation, transformation, scrubbing and imputation with acute attention to detail
  • Expert at identifying data anomalies
  • Ensures, analyzes and monitors data quality
  • Strong analytic and problem-solving skills
  • Strong writing and editing skills
  • Ability to plan work, set clear direction and coordinate projects in a multi-disciplinary environment
  • Ability to work cooperatively and effectively with people from various organizational levels
  • Remains current with published literature in the fields of medicine, statistical analysis and healthcare operations
  • Change oriented and actively supports process improvement

Apply