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R Markdown Jobs (NOW HIRING)

Northwestern University

Statistical Analyst

Evanston, IL · On-site

$70K - $80K/yr

R, RStudio, R Markdown Compliance * HIPAA * IRB Analytical * critical thinking * data mining * data modeling * database design/ data structure * Debugging * decision making * judgment * problem ...

Lincare

Data Scientist

Clearwater, FL · On-site

Technical coding skills are also required and include SQL code,R-Markdown and Python. Through the combination of statistical knowledge, AI skills and technical codinglanguages, a data scientist will ...

Lincare

Data Scientist

Clearwater, FL · On-site

... SQL code, R-Markdown and Python • conducting prescriptive, predictive and informational analytics to identify actionable insights • completing assigned analytical projects in a timely and ...

Lincare Holdings, Inc.

Data Scientist

Clearwater, FL · On-site

Technical coding skills are also required and include SQL code, R-Markdown and Python. Through the combination of statistical knowledge, AI skills and technical coding languages, a data scientist ...

The Hartford

Data Scientist

Chicago, IL · On-site +1

$90K - $135K/yr

Experience in Unix, Git, Shiny and R Markdown is a plus * Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation * Able to communicate effectively ...

The Hartford

Data Scientist

Charlotte, NC · On-site +1

$90K - $135K/yr

Experience in Unix, Git, Shiny and R Markdown is a plus * Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation * Able to communicate effectively ...

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How much do r markdown jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for r markdown in the United States is $45.21, according to ZipRecruiter salary data. Most workers in this role earn between $32.45 and $52.64 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an R Markdown Specialist, and why are they important?

To thrive as an R Markdown Specialist, you need expertise in R programming, data analysis, and proficiency in creating dynamic documents using R Markdown, typically supported by a background in statistics or data science. Familiarity with tools such as RStudio, Git, and version control systems, as well as knowledge of HTML, LaTeX, and PDF rendering workflows, is essential. Attention to detail, problem-solving, and strong written communication are crucial soft skills for effectively presenting technical information and collaborating with stakeholders. These abilities are vital to ensure accurate, reproducible, and clear reporting of data-driven insights in professional settings.

What are R Markdown files?

R Markdown files are documents that combine text, code, and output in a single file, typically with the .Rmd extension. They allow users to write and execute R code within narrative text, making it easy to create dynamic reports, presentations, and documents that include both analysis and explanation. R Markdown is widely used for reproducible research and data reporting, as it integrates code, results, and interpretation seamlessly. These files can be converted to various formats, such as HTML, PDF, or Word.

What is the difference between R Markdown vs R Script?

AspectR MarkdownR Script
PurposeCreates dynamic documents combining code, output, and narrativeContains only executable R code for analysis
Work EnvironmentUsed in data analysis, reporting, and presentationUsed mainly for scripting and data processing
Required CredentialsKnowledge of R, Markdown syntax, and RStudioKnowledge of R programming
Usage in IndustryReporting, reproducible research, dashboardsData analysis, automation, scripting

R Markdown is designed for creating comprehensive reports that combine code, output, and narrative, making it ideal for documentation and presentation. R Script, on the other hand, is focused solely on writing executable code for data analysis and automation. Both are essential tools in data science, but they serve different purposes within the workflow.

How does a professional working with R Markdown typically collaborate with data analysts and other team members on reporting projects?

Professionals using R Markdown often collaborate closely with data analysts, statisticians, and subject matter experts to create reproducible, transparent reports and analyses. Team members usually contribute by sharing datasets, code snippets, and feedback on draft reports through version control systems like Git. Regular communication ensures that updates to data or methodologies are reflected in the documentation, and R Markdown's integration with tools like RStudio makes it easier to co-develop and review documents. This collaborative workflow helps maintain consistency and accuracy across reporting projects.
Infographic showing various R Markdown job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $94,045 per year, or $45.2 per hour.
Statistical Analyst

Statistical Analyst

Northwestern University

Evanston, IL • On-site

$70K - $80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Northwestern University rating

8.3

Company rating: 8.3 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

94th of 534 rated colleges and universities

Job description

Department: MED-Preventive Medicine
Salary/Grade: EXS/8
Job Summary:
The Quantitative Data Sciences Core (QDSC) of the Robert H. Lurie Comprehensive Cancer Center at the Feinberg School of Medicine (FSM) is recruiting a Master's-level statistical analyst to join a highly collegial academic environment in the Division of Biostatistics & Informatics in FSM's Department of Preventive Medicine. This role involves collaborating with cancer research investigators on clinical trials and other clinical, epidemiological, and basic science studies, working under the supervision of Biostatistics faculty members. Duties include managing and analyzing multiple complex datasets; ensuring data integrity, quality, and timeliness of results; developing statistical analysis plans in collaboration with biostatistics faculty; and preparing statistical analysis reports using reproducible pipelines. Level of appointment and responsibilities will be commensurate with experience and education.
Target hiring range for this position will be between $70,017 - $80,000 per year. Offered salary will be determined by the applicant's education, experience, knowledge, skills and abilities, as well as internal equity and alignment with market data.
Specific Responsibilities:
Strategic Planning
  • Manages and plans for data/analysis requests and projects.
  • Provides consultation to customers on appropriate data management, methodological issues and statistical analyses.
  • Assists in the development of statistical analysis plans.
  • Manages multiple ongoing projects.
  • Assists in the development of project analysis milestones and timelines, and ensures timely completion.
  • Collaborates with Quality Assurance Monitoring team and other groups on data collection tool development and other data management activities.
Administration
  • Reviews reports before presentation to ensure quality and accuracy.
  • Develops and maintains documentation of process for quality assurance and reporting methodology
Development
  • Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex statistical analysis.
  • Determines data structure for local datasets.
  • Cleans and organizes data in preparation for analysis.
  • Prepares statistical analysis reports, including tables and figures, for meetings with investigators, and for presentations and publications.
  • Develops well-documented code using code style best practices.
  • Prepares structured and well-annotated statistical analysis reports using R and R Markdown.
  • Develops data collection tools independently and in collaboration with other groups.
  • Learns new statistical methods as needed for projects.
Performance
  • Develops and documents standards for data quality and regulatory compliance pertaining to reporting.
  • Ensures quality and compliance by reviewing reports.
  • Performs range, logic and consistency checks, reporting errors when preparing reports.
  • Produces readable well-documented code according to code style best practices.
  • Maintains professional and clear communication style.
  • Adheres to project timelines and deadlines.
Miscellaneous
Performs other duties as assigned.
Minimum Qualifications:
  • Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.
  • 4 years data analysis/report writing or similar experience required.
Infrastructure
  • High Performance Computing (HPC)
  • Microsoft Office (Word, Excel, Powerpoint, Access, Outlook)
  • Programming Languages and Frameworks
  • Other: R, RStudio, R Markdown
Compliance
  • HIPAA
  • IRB
Analytical
  • critical thinking
  • data mining
  • data modeling
  • database design/ data structure
  • Debugging
  • decision making
  • judgment
  • problem solving
  • Troubleshooting
Project
  • Code documentation
  • collaboration and teamwork
  • organizational skills
  • planning
  • workflow development & documentation
  • write proposals and project charters
Minimum Competencies: (Skills, knowledge, and abilities.)
  • Strong foundational knowledge of statistical methods used in cancer biostatistics.
  • Advanced proficiency in R and R Markdown for data management, analysis, and report generation, including the ability to write clean, well-documented, and reproducible code using the tidyverse and related packages.
  • Clear and effective oral and written communication skills, with the ability to explain statistical results to clinical collaborators.
  • Strong organizational and problem-solving skills with a high level of attention to detail; ability to work independently and manage multiple projects simultaneously.
Preferred Qualifications:
  • Strong foundational knowledge of statistical methods used in cancer biostatistics.
  • Advanced proficiency in R and R Markdown for data management, analysis, and report generation, including the ability to write clean, well-documented, and reproducible code using the tidyverse and related packages.
  • Clear and effective oral and written communication skills, with the ability to explain statistical results to clinical collaborators.
  • Strong organizational and problem-solving skills with a high level of attention to detail; ability to work independently and manage multiple projects simultaneously.
  • Master's degree in Biostatistics or Statistics, or equivalent level of education.
  • Professional experience applying high-level biostatistical methods (e.g. survival analysis, longitudinal modeling, clinical trial analysis) within a collaborative environment.
  • Prior experience in cancer research, including familiarity with early phase clinical trial design and cancer-specific endpoints.
  • Experience with data management, quality control, data cleaning and curation.
  • Proven ability to work independently, manage multiple projects, and meet competing deadlines within a shared resource collaboration model.
Preferred Competencies: (Skills, knowledge, and abilities)
  • Advanced modeling, including knowledge of survival analysis, regression modeling, longitudinal models, and model diagnostics.
  • Familiarity with or interest in propensity score methods, causal inference, and high-dimensional data analysis.
  • Familiarity with exploratory data analysis, and publication-quality data summaries and data visualization.
Benefits:
At Northwestern, we are proud to provide meaningful and competitive benefits. The available benefits package for this position will include health, dental, vision, disability, and life insurance; paid vacation and holidays; paid medical/sick and parental leave; tuition benefits for the employee and dependents; pre-tax and flex spending accounts for commuting and dependent care; generous retirement savings options; and wellness programs. For a comprehensive overview of available benefits, including eligibility details, visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more.
Work-Life and Wellness:
Northwestern offers comprehensive programs and services to help you and your family navigate life's challenges and opportunities, and adopt and maintain healthy lifestyles.
We support flexible work arrangements where possible and programs to help you locate and pay for quality, affordable childcare and senior/adult care. Visit us at https://www.northwestern.edu/hr/benefits/work-life/index.html to learn more.
Professional Growth & Development:
Northwestern supports employee career development in all circumstances whether your workspace is on campus or at home. If you're interested in developing your professional potential or continuing your formal education, we offer a variety of tools and resources. Visit us at https://www.northwestern.edu/hr/learning/index.html to learn more
Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern's non-discrimination statement . Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View additional information on the accommodations process .

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