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Remote Data Science R Jobs in Santa Clara, CA (NOW HIRING)

Pattern AI

Lead Engineer

San Mateo, CA · On-site +1

$116K - $153K/yr

You will collaborate closely with a talented team of engineers, data scientists, data engineers ... Experience working with remote teams across multiple locations * Experience with Kubernetes and ...

Pattern AI

Lead Engineer

San Mateo, CA · Remote

$116K - $153K/yr

You will collaborate closely with a talented team of engineers, data scientists, data engineers ... Experience working with remote teams across multiple locations * Experience with Kubernetes and ...

Netflix

Technical Program Manager 7 - Messaging

Los Gatos, CA · Remote

$150K - $194K/yr

Lead large cross functional programs in collaboration with Engineering, Product, Data Science, and ... California, and fully remote candidates within the PacificTime zone. The expectation is that ...

Netflix

Technical Program Manager 7 - Messaging

Los Gatos, CA · Remote

$150K - $194K/yr

Lead large cross functional programs in collaboration with Engineering, Product, Data Science, and ... California, and fully remote candidates within the PacificTime zone. The expectation is that ...

Connect Tech+Talent

Data Architect

Menlo Park, CA · Remote

$75.25 - $96.75/hr

Menlo Park, CA (Remote) Experience: 12+ Years Role Overview: We are seeking a visionary to ... D in Computer Science (Formal Methods/Logic) or Computational Mathematics.

Diffuse Bio

Software Engineer

Menlo Park, CA · On-site +1

Data science or engineering experience (e.g. ML engineer, data infrastructure engineer). * Is located in the Bay Area (remote work is an option for exceptional candidates). Pluses: * Experience with ...

Sustainable Talent

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... We value expertise in data science paired with a robust data engineering foundation. This role is ...

TMS

Data Architect - Active Metadata

Menlo Park, CA · Remote

$90 - $95/hr

Menlo Park, CA (Remote) Role Type: Contract Experience: 12+ Years Role Overview: We are seeking a ... D. in Computer Science (Formal Methods/Logic) or Computational Mathematics.

Sustainable Talent

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... We value expertise in data science paired with a robust data engineering foundation. This role is ...

Sustainable Talent

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ... We value expertise in data science paired with a robust data engineering foundation. This role is ...

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Showing results 1-20

All JobsRemote Data Science R JobsRemote Data Science R Jobs in Santa Clara, CA

Remote Data Science R information

See Santa Clara, CA salary details

$44K

$144.1K

$230.8K

How much do remote data science r jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote data science r in Santa Clara, CA is $144,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $159,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What are the most commonly searched types of Data Science R jobs in Santa Clara, CA? The most popular types of Data Science R jobs in Santa Clara, CA are:
What are popular job titles related to Remote Data Science R jobs in Santa Clara, CA? For Remote Data Science R jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Science R jobs in Santa Clara, CA look for? The top searched job categories for Remote Data Science R jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Data Science R jobs? Cities near Santa Clara, CA with the most Remote Data Science R job openings:
Remote Data Science R jobs near you
Remote Bioinformatics Scientist-481639

Remote Bioinformatics Scientist-481639

Stealth Startup

Palo Alto, CA • Remote

Other

Medical, PTO

Posted 2 days ago

Job description

About Us

We are building the gold-standard data layer that AI drug discovery platforms will run on. Partnered with leading AI labs, global tech companies, and top pharma, we're a fast-growing Palo Alto-based team on a mission to accelerate drug discovery through AI.


The Role

You don't need an AI background — you need deep scientific expertise. In this role, you'll use your research experience in bioinformatics to help fine-tune large language models (like ChatGPT) built for drug discovery.


What You'll Do

  • Perform bioinformatics analysis and provide drug development expertise for assigned work.
  • Provide expert scientific feedback to AI researchers from leading labs, helping shape how AI models interpret drug discovery workflows in bioinformatics and computational biology contexts.


What We're Looking For

  • PhD in Bioinformatics, Computational Biology, Systems Biology, or a related life sciences or physical sciences field (postdocs, biopharma scientists, and industry researchers welcome)
  • 3+ years of bioinformatics research experience


Offer Details

  • Commitment: 15–30 hours/week (with overlap in PST)
  • Compensation: Highly competitive, top 10% of industry rates
  • Engagement: Contractor/freelancer (no medical or paid leave)
  • Duration: 1 month, with possible extension
  • Remote: Fully remote, collaborative environment

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