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Freelance Data Analyst R Programming Jobs in Newark, NJ

Will be in the R&I group (Research and Innovation) *Primary functions: data architecture, data ... Comprehension of DevOps and Agile development and application to data centric architecture and ...

This role will build strong relationships and partner closely with Product, Engineering, Data ... Experience with Python and/or R for statistical analysis and model building. * Experience with ...

Youll work closely with leadership from Product and Engineering, Customer Success and Support, and ... Strong background in SQL, some knowledge of Python or R a plus * Experienced creating dashboards ...

... R, or other analytical programming languages. • Experience integrating data from multiple sources using APIs, automated workflows, and cloud-native analytics tools. • Understanding of data ...

... and engineering teams * Translate open-ended questions into measurable definitions, source-to ... Experience using Python with pandas and/or R for data manipulation, exploratory analysis, or ...

... and engineering teams * Translate open-ended questions into measurable definitions, source-to ... Experience using Python with pandas and/or R for data manipulation, exploratory analysis, or ...

... and engineering teams * Translate open-ended questions into measurable definitions, source-to ... Experience using Python with pandas and/or R for data manipulation, exploratory analysis, or ...

... and engineering teams * Translate open-ended questions into measurable definitions, source-to ... Experience using Python with pandas and/or R for data manipulation, exploratory analysis, or ...

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Freelance Data Analyst R Programming information

See Newark, NJ salary details

$35.6K

$86.4K

$142.2K

How much do freelance data analyst r programming jobs pay per year?

As of Sep 11, 2026, the average yearly pay for freelance data analyst r programming in Newark, NJ is $86,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,400.00 per year, depending on experience, location, and employer.

What does a freelance data analyst with R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

What are the key skills and qualifications needed to thrive as a freelance data analyst with R programming?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.

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

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

What are the most commonly searched types of Data Analyst R Programming jobs in Newark, NJ?

The most popular types of Data Analyst R Programming jobs in Newark, NJ are:

What are popular job titles related to Freelance Data Analyst R Programming jobs in Newark, NJ?

For Freelance Data Analyst R Programming jobs in Newark, NJ, the most frequently searched job titles are:

What job categories do people searching Freelance Data Analyst R Programming jobs in Newark, NJ look for?

The top searched job categories for Freelance Data Analyst R Programming jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Freelance Data Analyst R Programming jobs?

Cities near Newark, NJ with the most Freelance Data Analyst R Programming job openings:

Infographic showing various Freelance Data Analyst R Programming job openings in Newark, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $86,419 per year, or $41.5 per hour.

Associate Director, Statistical Programming - R Implementation

Basking Ridge, NJ • On-site

Initial Therapeutics, Inc.
Biotechnology Research and Development • 11 - 50 employees

$171K - $256K/yr

Other

Posted 8 days ago


Job description

Job Description

Job Title: Associate Director, Statistical Programming - R Implementation

Job Requisition ID: 2098

Posting Start Date: 8/24/26

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.

Job Summary

The purpose of this job is to provide statistical programming technical support related to R programming, R related system and technology. Develop and drive R programming, package, and R shiny app development. Lead the R programming implementations. Represent programming in DS external collaborations on R technology and capabilities.

Responsibilities Lead/contribute to DS R programming system technology development:
  • Lead/contribute to the R programming system development.
  • Act as R programming SME and functional representative of R systems and infrastructure to identify system and technology development needs and to define functional requirements.
  • Provide technical guidance to the development.
  • Lead and may approve UATs.
  • Lead/contribute to resolutions of BDM departmental (internal and external) R related analysis and programming technical issues and difficulties.
  • Lead the trainings and implementations of R system and programming technology.
Developing R package and Shiny apps:
  • Contribute to strategy of R programming innovation to support BDM analysis and reporting, such as R shiny apps for data surveillance, visualization, modeling and simulations, and safety signal detection.
  • Lead the development and validations of R package and/or shiny apps. Identify and build the use cases and process/resources to guide the implementations.
  • Lead, advocate and nurture R programming innovation globally within DS.
  • Represent the programming innovation outside of DS and establish the company reputations and images.
  • Develop study specific shiny apps or execute shiny apps at study level.
  • Publish shiny apps for study or against integrated database
Representing cross-functional collaborations on R capabilities and systems:
  • Collaborate with RD non-BDM and non-RD R user group or developers.
  • Collaborate with biostat innovation to enhance BDM overall R capabilities and implementations.
  • Collaborate with CSPV to enable/effectively support safety signaling detections and across compounds safety reviews (i.e., ILD).
  • Collaborate with Clinical Development and Clinical Sciences for effective data surveillance
Qualifications Education Qualifications
  • Bachelor's Degree an accredited institution in a science or in a technical field such as computer science or mathematics required Master's Degree preferred
Experience Qualifications
  • 10 or More Years Bachelor’s degree with minimum 10 years (or Master’s degree with minimum of 7 years) proven experience required
  • 7 or More Years Previous experiences in R programming area, involved in R and/or Shiny app development and implementation. required
  • Advanced working knowledge of all aspects of the R and SAS programming language used in clinical trials programming. required
  • Advanced working knowledge of CDISC SDTM and ADaM, and extensive experiences of their implementation in clinical trials analysis required
  • Advanced understanding of statistical concepts in support of analyses and reporting of clinical trials. required
  • Having knowledge of all phases of drug development, including early and late phase clinical development and submission required
  • Having solid background of applied statistics required
  • Solid knowledge of new advanced statistical methods using SAS or R required
  • Advanced knowledge in database structures and set-up required
Travel Requirements

Ability to travel up to 10% of the time.

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Salary Range:

USD$171,120.00 - USD$256,680.00

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