ZipRecruiter

Log In

2

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

Achieve

Sr. Data Scientist (Credit Risk)

San Mateo, CA · On-site +1

Master's degree in Economics, Statistics, Mathematics, Data Science or a related quantitative ... Hybrid and remote work opportunities * 401 (k) with employer match * Medical, dental, and vision ...

Achieve

Sr. Data Scientist (Credit Risk)

San Mateo, CA · On-site +1

Master's degree in Economics, Statistics, Mathematics, Data Science or a related quantitative ... Hybrid and remote work opportunities * 401 (k) with employer match * Medical, dental, and vision ...

ServiceNow

Senior Data Scientist

Mountain View, CA · On-site +1

Special consideration for an interest or experience in Data Science projects, and for experience in ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

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 ...

next page

Showing results 1-20

All JobsData Science R 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 Jul 14, 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
Associate Director of Data and Knowledge Management

Associate Director of Data and Knowledge Management

Vaxcyte

San Carlos, CA • On-site, Remote

$183K - $214K/yr

Other

Posted 4 days ago

New

Job description

Summary:

As we grow, we are seeking a strategic and collaborative Associate Director of Data and Knowledge Management to ensure the integrity, accessibility, and effective use of data and knowledge assets across the organization.

The Associate Director of Data and Knowledge Management will lead enterprise-wide efforts to structure, govern, and utilize data and knowledge resources critical to our process development, clinical, regulatory, and operational activities. This role is instrumental in ensuring scientific data integrity, regulatory readiness, and the preservation of institutional knowledge in a dynamic, fast-paced clinical environment.

Essential Functions:

Data Management, Strategy & Governance:

  • Acquire and gather data from manufacturing nodes throughout the supply chain to enable regulatory filings, process monitoring, and continuous improvement.
  • Develop and oversee data management strategies to support operations, development, and regulatory submissions.
  • Own data verification for all commercial regulatory submissions.
  • Lead the integration of structured and unstructured data across departments (e.g., preclinical, clinical, regulatory, CMC).

Knowledge Management:

  • Build systems and workflows to capture and retain organizational knowledge, including protocols, study results, lessons learned, and decision rationales.
  • Develop tools and processes that enable scientific teams to find, share, and reuse knowledge efficiently.
  • Champion a knowledge-sharing culture across scientific and operational functions.

Collaboration & Leadership:

  • Partner with regulatory, quality, R&D, IT and contract manufacturing teams to understand data and knowledge needs and align solutions.
  • Lead cross-functional initiatives focused on digital transformation, data harmonization, and collaboration tools.
  • Manage and mentor a team of data professionals, analysts, and knowledge specialists.

Analytics & Insights:

  • Ensure timely access to high-quality data for operational decision-making.
  • Partner with data science team to drive data visualization, reporting, and insights.
  • Support the use of AI/ML and automation for improved data analysis and knowledge extraction.

Compliance & Risk Management:

  • Ensure compliance with data protection and clinical trial regulations, including GDPR, HIPAA, and 21 CFR Part 11.
  • Identify and mitigate risks related to data security, access, and retention
Requirements: 
  • Bachelor's, Master's or PhD degree in Life Sciences, Data Science, Information Management, or related field. Minimum of 9+ years of relevant experience for Ph.D., 11+ years for M.S./M.A., or 14+ years for B.S./B.A. 
  • 8+ years of experience in data and/or knowledge management, with minimum 3 years in a life sciences or biotech setting.
  • Proven experience leading enterprise data governance and knowledge sharing initiatives in a highly regulated environment.
  • Strong project management and communication skills; able to work cross-functionally with scientific and operational teams.
  • Experience with tools like SharePoint, Veeva Vault, Confluence, Tableau, and SQL is highly desirable.
  • Experience supporting clinical trials and regulatory submissions (e.g., IND, BLA) strongly preferred.
  • Background in immunology, vaccines, or infectious disease R&D is highly preferred.
  • Experience in scaling systems and processes in a high-growth, early- to mid-stage biotech company is preferred.
Reports to: Senior Director, Process Validation
 
Location: San Carlos, CA

Work Arrangement: Remote CA or North Carolina

Compensation:
The compensation package will be competitive and includes comprehensive benefits and an equity component.
 
Salary Range: $183,000 - $214,000 (SF Bay Area). Salary ranges for non-California locations may vary.
 
Vaxcyte logo

About Vaxcyte

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

51 - 200 Employees

Headquarters location

San Carlos, CA, US

Year founded

2013

View All Vaxcyte Jobs

Apply