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Freelance R Programming Language Jobs in Florida

Proficiency in at least one programming language used in empirical research (e.g., Stata, R, Python, SAS, Julia, or similar). Preferred but not required: * Experience with Git/GitHub for version ...

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Strong technical skills, including the ability toindependentlyexecute complex data analytics in at least one programming language (e.g.SQL, SAS, SPSS, Stata, R, etc.). An interest in growing these ...

General Application

Melbourne, FL · On-site

$75K - $130K/yr

Working knowledge of Structured Query Language (SQL) and data manipulation tools. * Strong ... Familiarity with Python, R and other statistical tools is a plus Project Management skills we look ...

Senior Analytics Engineer

Fort Lauderdale, FL · Hybrid

$99.60K - $136.70K/yr

... in plain language * Commitment to Excellence You are automation-minded, AI-fluent, and able to ... experience with Python or R for data analysis and scripting (preferred) WHAT WE OFFER

... Language Models, multi-modal AI), to identify patterns and generate mission-critical insights ... Highly proficient in Python and/or R for data engineering, automation, and model development.

General Application

Melbourne, FL · Remote

$75K - $130K/yr

Working knowledge of Structured Query Language (SQL) and data manipulation tools. * Strong ... Familiarity with Python, R and other statistical toolsis a plus Project Management skills we look ...

... programming experience in one of the following C#, VB, VBA, Java, JavaScript, Python, R. Preferred : • Advanced degree in related field. • Intermediate knowledge of SQL, VBA, ARCGIS, DAX Language ...

Sr. Chemistry Production Engineer

Fort Myers, FL · On-site

$82.60K - $112K/yr

The Senior Chemistry Production Engineer provides leadership in process troubleshooting ... Bilingual Spanish language skills. General Applicable Company Competencies * Commitment to Watts ...

... engineering * natural language processing (NLP) * large language models (LLMs) and any other required AI skills * Technical coding skills are also required and include SQL code, R-Markdown and Python.

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Freelance R Programming Language information

What are the key skills and qualifications needed to thrive as a Freelance R Programmer, and why are they important?

To thrive as a Freelance R Programmer, you need strong statistical analysis, data manipulation, and coding skills in R, often supported by a degree in statistics, computer science, or a related field. Familiarity with RStudio, version control systems like Git, and relevant libraries such as tidyverse and Shiny is typically required. Excellent problem-solving, client communication, and time management skills help you stand out in this role. These abilities ensure you can deliver accurate, timely data solutions that meet client needs in a competitive freelance environment.

What are some common challenges freelance R programmers face when working with clients remotely?

Freelance R programmers often encounter challenges related to communication and project scope when collaborating remotely with clients. Since requirements can change or lack clarity, it's important to establish clear expectations and maintain regular updates through meetings or written summaries. Additionally, managing data privacy and access can be tricky, so freelancers should be prepared to use secure data-sharing tools and clarify ownership of scripts and results. Building strong communication skills and being proactive about project management can help overcome these hurdles and ensure successful client collaborations.

What is a freelance R programmer?

A freelance R programmer is a professional who works independently, providing services related to the R programming language on a contract or per-project basis. They typically help organizations or individuals analyze data, build statistical models, visualize results, and develop custom R scripts or packages. Freelance R programmers often work remotely and may serve clients across various industries, including finance, healthcare, academia, and technology. Their flexible arrangements allow them to take on diverse projects, from data cleaning to advanced machine learning tasks.

What is the difference between Freelance R Programming Language vs Data Analyst?

AspectFreelance R Programming LanguageData Analyst
Required skillsProficiency in R, statistical analysis, data visualizationData manipulation, statistical analysis, reporting
Work environmentIndependent, project-based, remote or on-siteTypically in organizations, team-based, office or remote
CertificationsR certifications, data analysis coursesData analysis, business intelligence certifications
Industry usageFreelance projects across various industriesCorporate, finance, healthcare, marketing

Freelance R Programming Language professionals focus on independent projects requiring R skills, while Data Analysts work within organizations analyzing data to inform business decisions. Both roles require statistical knowledge, but their work settings and project types differ.

What are the most commonly searched types of R Programming Language jobs in Florida? The most popular types of R Programming Language jobs in Florida are:
What job categories do people searching Freelance R Programming Language jobs in Florida look for? The top searched job categories for Freelance R Programming Language jobs in Florida are:
What cities in Florida are hiring for Freelance R Programming Language jobs? Cities in Florida with the most Freelance R Programming Language job openings:
Data Analyst 3

Full-time

Posted 2 days ago


University Of Miami rating

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

211th of 530 rated colleges and universities


Job description

Current Employees:

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet.

The University of Miami's Miami Herbert Business School has an exciting opportunity for a full-time Data Analyst 3 to work on the Coral Gables campus.

Job Summary:

The Data Analyst III will conduct applied empirical research in health economics, health services research, and health policy alongside research-active faculty in HMP. The work is primarily quantitative: cleaning and analyzing data, implementing causal inference methods, producing tables and figures, and drafting sections of manuscripts for peer-reviewed journals and conference presentations. We are looking for a candidate with strong quantitative training and a genuine interest in academic research. The ideal candidate brings not only technical skill but also professional maturity: the ability to take initiative, communicate proactively, exercise sound judgment with limited oversight, and contribute intellectually to the direction of the work. Analysts who substantively shape the research (e.g., helping to frame questions, refine designs, and interpret results) may be eligible for co-authorship on resulting publications.

The position is well suited to candidates at different career stages. Bachelor's- or master's-level applicants considering future graduate study will gain substantial empirical research experience in a pre-doctoral-style role. PhD-level applicants considering tenure-track academic careers will find the position structured similarly to a postdoc, with a primary focus on HMP faculty-led projects. Candidates who wish to build a long-term research career without pursuing an advanced degree are equally welcome. Responsibilities, expectations, and compensation will be calibrated to the candidate's education and experience.

Please include the following information with your application:

  • Cover letter explaining interests in and qualifications for the position, detailed resume, and names and contact information for at least three professional references.

Job Responsibilities:

  • Conduct advanced data analysis with limited direction, including cleaning, coding, documenting, and managing research datasets.
  • Contribute to study design and protocol development, including discussions of causal identification strategies, data requirements, and advanced analytic approaches.
  • Serve as Project Coordinator for data contracts the department has entered with public and private organizations.
  • Conduct literature reviews to inform study design and framing.
  • Summarize data and preliminary findings for faculty and research teams.
  • Maintain reproducible and well-organized code.
  • Draft tables, figures, methods sections, and other components of manuscripts, conference abstracts, posters, and internal memos.
  • Communicate proactively and professionally with faculty and research teams, including timely responses to correspondence and clear escalation when issues arise.
  • Prepare and maintain IRB protocols and related correspondence for projects involving primary data collection.
  • Support study logistics as needed, including participant recruitment, multi-site data collection, and research trainings.
  • Other duties as assigned.

Education Requirements:

  • All levels of education will be considered, with compensation commensurate with education and experience. At minimum, this position requires a bachelor's degree in economics, health policy, public policy, health services research, statistics, or a related quantitative field. A master's degree or PhD in these fields is preferred. Strong quantitative preparation, including coursework in econometrics or an equivalent course on causal inference methods, is required at all levels.
  • A relevant combination of education and experience may be considered.

Knowledge, Skills, and Abilities:

Required:

  • Demonstrated interest in academic research.
  • Strong critical thinking skills and a willingness to problem-solve proactively and independently rather than wait for direction.
  • Ability to manage multiple projects and meet deadlines with limited supervision.
  • Excellent organization, attention to detail, and written and oral communication skills.
  • Prior experience producing research deliverables (e.g., tables, figures, memos, manuscripts).
  • Prior research experience in health economics, health services research, health policy, or a related field.
  • Proficiency in at least one programming language used in empirical research (e.g., Stata, R, Python, SAS, Julia, or similar).

Preferred but not required:

  • Experience with Git/GitHub for version control and collaborative project management.
  • Experience with LaTeX for academic writing.
  • Familiarity with SQL, cloud computing, or text analysis.
  • Familiarity with IRB processes and regulatory requirements for human subjects research.
  • Interest in using AI-assisted programming tools (LLM-based coding agents) to accelerate research work.

The University of Miami is recognized as one of the nation's premier research institutions and academic health systems and is among the largest employers in South Florida.

With more than 20,000 faculty and staff, the University is committed to excellence and guided by a mission to positively impact the lives of students, patients, and communities locally and globally.

We are dedicated to fostering a culture where every individual feels valued and empowered to contribute meaningfully. United by shared values, the University community works together to build an environment defined by purpose, collaboration, and service.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.

Job Status:

Full time

Employee Type:

Staff

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Pay

Benefits

Hours and flexibility

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About University of Miami

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The University of Miami, located in the beautiful Coral Gables, Florida, is a comprehensive, private research institution in the United States. Operating within the higher education industry, the institution offers a multitude of degree programs spanning over 180 majors and program through its 12 colleges. The University was founded in 1925 with the mission to disseminate knowledge, transform lives, and change the world - a mission it has held faithfully to this day. Notably, the University of Miami has gained global recognition for its commitment to research and innovation, with over $324 million in research and sponsored project funding awarded annually.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Coral Gables, FL, US

Year founded

1925