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Remote R Programmer Jobs in Oakland, CA (NOW HIRING)

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Inspection Application Engineer

Milpitas, CA · On-site +1

$110K - $150K/yr

Experience of data analysis using S+/R or python * Experience with UNIX/Linux systems. Must: Have ... Ability to work with remote development support to resolve issues at customer site for apps work in ...

QuinStreet

Lead Data Analyst

Foster City, CA · Remote

$120K - $160K/yr

Familiarity with Python (preferred) or R programming to the level necessary to perform ad-hoc ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

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All JobsR Programmer JobsRemote R Programmer JobsRemote R Programmer Jobs in Oakland, CA

Remote R Programmer information

See Oakland, CA salary details

$91.9K

$142.4K

$173.4K

How much do remote r programmer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote r programmer in Oakland, CA is $142,410.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,100.00 and $160,200.00 per year, depending on experience, location, and employer.

What does a remote R programmer do?

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.

What are the key skills and qualifications needed to thrive as a remote R programmer?

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 is a remote R programmer?

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 popular job titles related to Remote R Programmer jobs in Oakland, CA? For Remote R Programmer jobs in Oakland, CA, the most frequently searched job titles are:
What job categories do people searching Remote R Programmer jobs in Oakland, CA look for? The top searched job categories for Remote R Programmer jobs in Oakland, CA are:
What cities near Oakland, CA are hiring for Remote R Programmer jobs? Cities near Oakland, CA with the most Remote R Programmer job openings:
Remote R Programmer jobs near you
Infographic showing various Remote R Programmer job openings in Oakland, CA as of August 2026, with employment types broken down into 12% Internship, 76% Full Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $142,410 per year, or $68.5 per hour.

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Re-posted 13 days ago

Job description

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.
Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)
Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

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