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Remote R Programmer Jobs in San Dimas, CA (NOW HIRING)

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 ...

Children's Oncology Group

Statistician I

Arcadia, CA · Remote

$91K - $137K/yr

The COG Research Foundation, LLC is a 100% remote employer, though some travel may be required ... Support of Selected Research Topics in Clinical Trials Methodology - Perform computer programming ...

Medtronic

EP Mapping Specialist - CAS

Los Angeles, CA · On-site +1

While this is a remote position not located at a physical Medtronic site, the candidate hired will ... In this dynamic role, you'll work alongside a collaborative team of clinicians, engineers ...

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How much do remote r programmer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for remote r programmer in San Dimas, CA is $124,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,100.00 and $139,700.00 per year, depending on experience, location, and employer.

What is a Remote R Programmer job?

A Remote R Programmer is a professional who develops, analyzes, and optimizes data-driven solutions using the R programming language while working remotely. They typically handle statistical modeling, data visualization, and automation for various industries such as healthcare, finance, and research. This role often requires proficiency in R packages, data manipulation, and possibly integration with other tools like SQL or Python. Remote R Programmers collaborate with teams through virtual communication and use cloud-based or local development environments.

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

A Remote R Programmer requires strong proficiency in R programming, data analysis, and statistical modeling, typically backed by a degree in computer science, statistics, or a related field. Familiarity with tools like RStudio, version control systems (e.g., Git), and experience with relevant data visualization or reporting libraries are commonly expected. Excellent problem-solving skills, self-motivation, and effective communication are crucial for remote collaboration and project delivery. These competencies ensure the programmer can independently develop, deploy, and maintain analytical solutions while contributing effectively to distributed teams.

What does a typical day look like for a Remote R Programmer?

A typical day for a Remote R Programmer involves writing and testing R scripts, analyzing large datasets, creating data visualizations, and preparing reports for team review. You may have regular check-ins or stand-up meetings with data scientists, project managers, or stakeholders to discuss project progress and address any technical challenges. Collaboration often occurs via digital communication platforms, with an emphasis on documenting code and sharing updates regularly. The remote nature of the role requires self-discipline, clear communication, and proactive problem-solving to ensure project goals are met efficiently.
More about Remote R Programmer jobs
What cities near San Dimas, CA are hiring for Remote R Programmer jobs? Cities near San Dimas, CA with the most Remote R Programmer job openings:
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Principal Data Scientist

Principal Data Scientist

KORE1 Technologies

Duarte, CA • Remote

$48 - $62/hr

Full-time

Posted 15 days ago

Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Scientist that is fully remote.

Professional Summary:
The Principal Data Scientist will drive innovation across the full lifecycle of AI/ML initiatives. You'll work hands-on with structured and unstructured healthcare data, design and implement state-of-the-art models (including LLMs and RAG-based architectures), and lead cross-functional collaborations to bring solutions to production at scale. This role combines deep technical expertise with strategic influence and mentorship.

Key Responsibilities
Research & Innovation
* Initiate and lead novel research in machine learning and AI, especially in deep learning, large language models (LLMs), and retrieval-augmented generation (RAG).
* Stay current with advancements in AI/ML and assess their relevance to healthcare challenges.
* Investigate and adapt cutting-edge research (white papers, preprints, publications) into practical applications.
Model Development & Deployment
* Design, build, train, evaluate, and deploy ML models, including supervised, unsupervised, reinforcement learning, and deep learning techniques.
* Fine-tune pre-trained models (including transformer architectures) for domain-specific use cases.
* Develop and operationalize agentic workflows to enable AI-driven automation of business tasks.
Production & Monitoring
* Deploy models in cloud environments (Azure, AWS, Databricks) with robust MLOps and CI/CD practices.
* Build and maintain monitoring systems for real-time model performance, drift detection, and alerting.
* Ensure compliance with model governance, privacy, and healthcare regulatory standards.
Cross-functional Leadership
* Partner with engineering, data engineering, product, and business stakeholders in an agile environment to ensure timely, impactful deliveries.
* Mentor junior data scientists and promote best practices in experimentation, reproducibility, and responsible AI.
* Translate complex analytics into actionable insights and communicate effectively with both technical and non-technical stakeholders.

Minimum Education:
  • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
  • 4 years of experience plus min experience may substitute for minimum education requirements.
Minimum Experience:
  • 10+ years of experience in Data Science, with a focus on machine learning, algorithm design, and statistical modeling
  • 3+ years of experience deploying ML models into production environments using Azure, AWS, and Databricks.
  • Strong programming expertise in Python (and/or R); experience with libraries such as scikit-learn, PyTorch, TensorFlow, Transformers, etc.
  • Proven experience developing and fine-tuning deep learning models, including transformer-based architectures.
  • Experience working with structured (e.g., claims, EHR) and unstructured (e.g., clinical notes) healthcare data.
Skills/Abilities:
  • Solid understanding of ML model evaluation metrics, data preprocessing, feature engineering, and data imputation.
  • Strong SQL skills and familiarity with both relational and NoSQL databases.
  • Comfortable working in Agile teams and navigating ambiguity in startup environments.
  • Builds and promotes a culture of personal and outcomes-based accountability.
  • Demonstrated ability to operate in an ambiguous, evolving, and fast-paced environment.
  • Must have innovative mindset in ensuring that the organization is adapting accordingly with the changing environment.
  • Strong track record in working independently and in a team setting, under pressure, and handling multiple deadlines.
  • Strong analytical capabilities coupled with the ability to identify issues, obtain mutual agreement as to the resolution and implement change.
  • Exceptional communication (written and verbal) and interpersonal skills are required.
  • Well-developed organization, analytical, and innovative mindset to manage multiple projects and priorities.
  • Proven experience and aptitude to participate as part of high functioning team within a virtual work environment.
  • Ability to craft business solutions to complex business problems.
  • Ability to manage all processes throughout the life cycle of a project..
  • Demonstrated experience in collaborating across the organization regardless of level, function, or geography.
  • Proven ability to establish strong relationships with internal and external stakeholders.
  • Software/Apps: Microsoft (MS) Office365, MS Office (Excel, Word, PPT), MS TEAMs, PeopleSoft, Slack, Zoom, Salesforce.com, Amazon Connect

Preferred Education:
  • Master's degree in Computer Science, Data Science, Statistics, or a related field.
Preferred Experience:
  • 12+ years of experience in Data Science, with a focus on machine learning, algorithm design, and statistical modeling.
    * 4+ years of experience deploying ML models into production environments using Azure, AWS, and Databricks.
    * Experience with retrieval-augmented generation (RAG) and agentic workflows.
    * Familiarity with Databricks platform and tools including: Databricks One environment, Genie, Agent Bricks.
    * Experience in deploying or monitoring models in Databricks MLflow or similar platforms.
    * Strong domain knowledge in healthcare (payer or provider) including medical coding, care gaps, or quality measures (e.g., HEDIS, Star ratings).
    * Experience with NLP and hybrid symbolic-statistical approaches.
    * Track record of publishing research or contributing to open-source projects.



Pay range is typically anywhere from 48 - 62/hr DOE.

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.