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Freelance R Programming Language Jobs in Pennsylvania

Strong SAS and SAS Macro language skills. R programming skills in clinical trials Strong knowledge of industry standards. Ability to work on data integrations (ISS and ISE). Strong oral and written ...

Knowledge of R (programming language) for customized analysis and reporting as well as extensive experience with at least one standard visualization package, e.g., Google Data Studio, Tableau, Qlik ...

Algorithm Development, Data Interpretations, MATLAB, Pharmacology, Physiological Characteristics, Python (Programming Language), R Programming, Safety Pharmacology, Signal Analysis Preferred Skills:

Algorithm Development, Data Interpretations, MATLAB, Pharmacology, Physiological Characteristics, Python (Programming Language), R Programming, Safety Pharmacology, Signal AnalysisPreferred Skills:

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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 Pennsylvania? The most popular types of R Programming Language jobs in Pennsylvania are:
What are popular job titles related to Freelance R Programming Language jobs in Pennsylvania? For Freelance R Programming Language jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Freelance R Programming Language jobs in Pennsylvania look for? The top searched job categories for Freelance R Programming Language jobs in Pennsylvania are:

Sr R & SAS Programmer

Atorus Research

Chesterbrook, PA • On-site

Contractor

Posted 11 days ago


Job description

Sr SAS & R Programmer
onsite in the Chesterbrook, PA area 3 days/week
SUMMARY
The contract Senior Statistical Programmer is a member of the Biometrics Department within the Research and Development (R&D) organization who supports Statistical programming work in accordance with corporate standard operating procedures (SOPs), GCP, 21 CFR and ICH guidance.
RESPONSIBILITIES
Program and validate derived datasets, tables, figures, listings. Process data from the external sources.
Perform ad hoc exploratory analyses for publications and programming support other functions of Research and Development or other organizations.
Oversee programing work/deliverables from CROs.
Contribute to the design/implementation/review of Case Report Form, Data Transfer Specification, Statistical Analysis Plan, SDTM/ADaM Specification documents, Define packages.
Program and validate CDISC compliant deliveries for the electronic submissions.
Support in the creation of supporting documentation for submissions.
Ensure programming deliverables are on time and of high quality.
Help managing internal contractors and external vendors.
Participate in development of departmental working instructions and guidelines.
Help in creation of enhanced functions/macros and utilities.
REQUIREMENTS
Bachelor or Master degree in Computer Science, Mathematics, Engineering, Medical or related discipline.
BS with more than 5 or MS with 3 years of experience in statistical programming (SAS, R) in the pharmaceutical industry.
Working knowledge of SAS and its various components.
Knowledge of R programming in clinical trials
Familiarity of the drug development process.
Knowledge of CDISC standards and electronic submission requirements.
Strong SAS and SAS Macro language skills.
R programming skills in clinical trials
Strong knowledge of industry standards.
Ability to work on data integrations (ISS and ISE).
Strong oral and written communication skills. Ability to communicate details of the analysis to other team members with less technical experience.
Ability to manage the timeline well and work in multi-project environment.