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Remote R Programming Jobs in Oxnard, CA (NOW HIRING)

Remote R Programming information

See Oxnard, CA salary details

$84.7K

$131.3K

$159.9K

How much do remote r programming jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote r programming in Oxnard, CA is $131,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,800.00 and $147,700.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks a Remote R Programmer might work on?

Remote R Programmers often work on projects involving data cleaning, statistical modeling, and creating data visualizations for business or scientific insights. They may be responsible for developing automated data workflows, building predictive models, or generating reproducible reports using R Markdown or Shiny dashboards. Additionally, remote work usually requires frequent collaboration with data scientists, analysts, or cross-functional teams via virtual meetings and project management platforms. This role allows you to contribute to diverse industries, ranging from healthcare to finance, and offers opportunities to continuously expand your technical expertise.

What is a Remote R Programming job?

A Remote R Programming job involves using the R programming language for data analysis, statistical modeling, and visualization while working from a remote location. Professionals in this role may work in fields such as data science, finance, healthcare, or research. Tasks often include data cleaning, building predictive models, and generating reports using R packages like ggplot2, dplyr, and tidymodels. Remote R programmers typically collaborate with teams through online communication tools and version control systems like Git. This role requires strong analytical skills and the ability to work independently while delivering data-driven insights.

What are the key skills and qualifications needed to thrive in the Remote R Programming position, and why are they important?

To thrive as a Remote R Programmer, you need strong proficiency in R programming, data analysis, and statistics, typically supported by a degree in a quantitative field such as computer science, statistics, or data science. Familiarity with version control systems like Git, data visualization libraries (e.g., ggplot2), and experience with cloud-based collaboration tools is highly valued. Excellent communication skills, self-motivation, and the ability to work independently are important soft skills for remote success. These competencies ensure that you can efficiently deliver high-quality analytical solutions and collaborate with distributed teams.

What job categories do people searching Remote R Programming jobs in Oxnard, CA look for? The top searched job categories for Remote R Programming jobs in Oxnard, CA are:
What cities near Oxnard, CA are hiring for Remote R Programming jobs? Cities near Oxnard, CA with the most Remote R Programming job openings:
Sr. Engineer - Biotech Environment & Sustainability - Remote (JP13584)

Sr. Engineer - Biotech Environment & Sustainability - Remote (JP13584)

3 Key Consulting

Thousand Oaks, CA • Remote

$96K - $119K/yr

Other

Posted 4 days ago


Job description

Job Title:Sr. Engineer - Biotech Environment & Sustainability - Remote (JP13584)
Location:Thousand Oaks, Ca. (Remote work)
Business Unit:Environment & Sustainability
Employment Type: Contract
Duration:6 months with possible extension
Rate: 40-50$/hours W2 DOE with benefits
Posting Date:1/28/2025
Target Start Date:2/10/2025
3 Key Consulting is hiring! We are recruiting a Sr. Engineerfor a consulting engagement with our direct client, a leading global biotechnology company.
Ideal Candidate:
The ideal candidate will have a strong background in lifecycle analysis, data inventory gathering, and managing large datasets. Key responsibilities include working with internal and external suppliers, leveraging programming languages such as R and Python, and delivering compelling presentations supported by strong data visualization skills.
Preferred educational background in Environmental Science from UCSB or Duke University.
Technical Skills:
Expertise in lifecycle analysis.
Proven ability to gather and manage inventory data from various sources.
Proficiency in programming languages such as R and Python.
Strong data visualization and presentation skills.
About the Role
As a member of the Environmental Sustainability team, you will play a pivotal role in developing and expanding the Life Cycle Assessment (LCA) library. This role involves creating robust LCA frameworks, gathering and analyzing life cycle inventory (LCI) data, and ensuring compliance with national and international standards. You will contribute directly to advancing environmental transparency and sustainability in the pharmaceutical sector.
Key Responsibilities
  • LCA Development:
    Design and expand Life Cycle Assessment (LCA) methodologies tailored to the pharmaceutical industry. Integrate emerging life cycle approaches and adapt them for regulatory purposes.
  • Data Collection & Management:
    Gather life cycle inventory (LCI) data from internal teams and external sources, including contract manufacturing partners.
    Aggregate, clean, and operationalize large datasets for use in LCA modeling.
  • Compliance Analysis:
    Analyze existing LCA methodologies for compliance with international standards (e.g., ISO 14040/14044) and country-specific regulations, including France's Climate and Resilience Law.
    Ensure adherence to best practices in environmental labeling and sustainability reporting.
  • Collaboration & Stakeholder Engagement:
    Work closely with stakeholders, including government bodies, pharmaceutical companies, and external consultants, to ensure accuracy and alignment with regulatory goals.
  • Programming & Data Science:
    Leverage programming languages like R or Python for data analysis, modeling, and automation

Top Must Have Skill Sets:
  • Experience conducting cradle to grave life cycle assessments
  • Experience managing large data sets using programming tools such as R and Python
  • Experience gathering life cycle inventory data from external partners
  • Strong communication and data visualization skills

Day to Day Responsibilities:
  • Gather life cycle inventory data from external manufacturing partners
  • Efficiently aggregate and operationalize life cycle data
  • Apply client's life cycle analysis methodology to calculate cradle to grave life cycle assessment

Basic Qualifications:
Doctorate degree OR Master degree and 3 years of experience OR Bachelor degree and 5 years of experience OR Associate degree and 10 years of experience

Employee Value Proposition:Leading Biotech Industry Experience.
Interview Process:
Phone Screening
Panel Interview
We invite qualified candidates to sendyour resume torecruiting@3keyconsulting.com. Ifyou decide that you're not interested in pursuing this particular position, please feel free to take a look at the other positions on our websitewww.3keyconsulting.com/careers. You are also welcome to sharethis opportunity withanyone you think might be interested in applying for this role.