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Remote R Programming Jobs in Long Beach, CA (NOW HIRING)

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

... remote. Professional Summary: The Principal Data Scientist will drive innovation across the full ... Strong programming expertise in Python (and/or R); experience with libraries such as scikit-learn ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

... remote. Professional Summary: The Principal Data Scientist will drive innovation across the full ... Strong programming expertise in Python (and/or R); experience with libraries such as scikit-learn ...

KORE1 Technologies

Principal Data Scientist

Duarte, CA · Remote

$48 - $62/hr

... remote. Professional Summary: The Principal Data Scientist will drive innovation across the full ... Strong programming expertise in Python (and/or R); experience with libraries such as scikit-learn ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ... Partner with engineering teams to build and support data pipelines using technologies such as Azure ...

Milliman

Client Success Manager (MedInsight)

Irvine, CA · Remote

$788/wk

Azure DevOps, Jira * Exposure to Python, R, SQL, or other programming languages This position may ... Location This role is ideally based in Seattle, Washington, but remote work within the United ...

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How much do remote r programming jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote r programming in Long Beach, CA is $130,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $146,700.00 per year, depending on experience, location, and employer.

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 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.
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Lead Analyst, Healthcare Analytics - REMOTE

Lead Analyst, Healthcare Analytics - REMOTE

Molina Healthcare

Long Beach, CA • On-site, Remote

$65.79K - $142.55K/yr

Full-time

Posted 7 days ago

Molina Healthcare rating

8.0

Company rating: 8.0 out of 10

Based on 192 frontline employees who took The Breakroom Quiz

145th of 260 rated insurance

Job description

Job Description
JOB DESCRIPTION
Job Summary
The Lead Analyst serves as a data steward with deep subject matter expertise, responsible for designing and prototyping Medical Economics data assets that are clearly defined and fit for use. This role bridges business and data by translating complex concepts into structured logic.
KNOWLEDGE/SKILLS/ABILITIES
  • Performs research and analysis of complex healthcare data (eligibility, claims, auths etc.)
  • Acts as the designated data steward for assigned domains.
    • Maintain and evolve business definitions, data logic and rules.
    • Apply deep subject matter expertise to ensure data reflects real-world business processes.
  • Translates business needs into clear, structured data requirements and logic.
    • Identify and resolve ambiguities, inconsistencies, and gaps in definitions
    • Partner with stakeholders to align on intended meaning vs actual implementation
  • Contributes to data model design and evolution
    • Builds design prototypes
    • Provides detailed requirements to engineering for implementation
  • Defines and execute data validation and quality checks
    • Investigates anomalies and discrepancies across systems
    • Drives resolution with appropriate teams (engineering, source system owners, etc.)
  • Maintain clear, structured documentation to ensure traceability between business intent and data implementation.
  • Support downstream users (reporting, actuarial, finance) in understanding and using data correctly.
  • Has experience working with large-scale healthcare datasets.
  • Understands healthcare economics and operations.
  • Pays strong attention to details with ability to see the big picture.
  • Communicates clearly and concisely.
  • Escalates cross-domain conflicts, prioritization trade-offs, and strategic decisions to Manager/Director.
  • Operates effectively within defined ownership structures.
  • Proactively identifies and resolves issues, not wait for direction.

JOB QUALIFICATIONS
Required Education
  • Bachelor's Degree in Finance, Economics, Computer Science

Required Experience
  • 6+ years of progressive responsibilities in Data, Finance or Systems Analysis
  • Expert knowledge with SQL

Preferred Education
  • Bachelor's Degree in Finance, Economics, Math, or Computer Science

Preferred Experience
  • Experience in Medical Economics
  • Business stakeholder management
  • Familiarity with Python, R or BI tools (e.g., Tableau, Power BI)
  • Experience with service categorization
  • Deep auth data knowledge

To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

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About Molina Healthcare

Sourced by ZipRecruiter

Molina Healthcare is a nationwide fortune 500 organization with a mission to provide quality healthcare to people receiving government assistance. If you are seeking a meaningful opportunity in a team-oriented environment, come be a part of a highly engaged workforce dedicated to our mission. Bring your passion and talents and together we can make a difference in the lives of others.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Long Beach, CA, US

Year founded

1980

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