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Remote Cancer Data Analyst Jobs in Riverside, CA

Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data ... Turing is seeking detail-oriented AI Analysts based in the United States to support a Google Wallet ...

Data Engineer - REMOTE

Corona, CA ยท Remote

$118K - $141K/yr

Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate ...

Data Engineer - REMOTE

Corona, CA ยท Remote

$118K - $141K/yr

Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate ...

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Remote Cancer Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do remote cancer data analyst jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote cancer data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

How does a Remote Cancer Data Analyst typically collaborate with oncology teams and other healthcare professionals?

As a Remote Cancer Data Analyst, you will often work closely with oncologists, medical researchers, and hospital data teams to interpret and manage cancer-related datasets. Collaboration is typically achieved through virtual meetings, shared data platforms, and detailed reporting, ensuring all stakeholders have access to accurate and timely information. You may be involved in multidisciplinary case discussions, supporting clinical decision-making through data insights, and contributing to research projects. Strong communication skills and proficiency with data visualization tools are crucial for conveying complex findings to non-technical team members.

What is the difference between Remote Cancer Data Analyst vs Remote Oncology Data Specialist?

AspectRemote Cancer Data AnalystRemote Oncology Data Specialist
Required CredentialsBachelor's in Data Science, Biology, or related field; experience with data analysis toolsSimilar credentials; often additional certification in oncology or healthcare data
Work EnvironmentRemote, healthcare or research organizationsRemote, healthcare providers, research institutions
Employer & Industry UsageHospitals, research centers, biotech firmsOncology clinics, pharmaceutical companies, research institutions
Search & Comparison IntentYesYes

The Remote Cancer Data Analyst and Remote Oncology Data Specialist roles share similar credentials, work environments, and industry usage. The main difference lies in terminology; the Data Specialist may focus more on specific oncology datasets and clinical information, while the Analyst emphasizes broader data analysis tasks. Both roles are essential in advancing cancer research and patient care remotely.

What is a Remote Cancer Data Analyst?

A Remote Cancer Data Analyst is a professional who collects, analyzes, and interprets cancer-related data from various sources while working remotely. Their work supports research, clinical trials, and public health initiatives by identifying trends, tracking patient outcomes, and ensuring data accuracy. These analysts often collaborate with healthcare professionals, researchers, and public health organizations to improve cancer treatment and prevention strategies. Remote positions allow flexibility and the use of digital tools to securely access and manage sensitive health data.

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

To thrive as a Remote Cancer Data Analyst, you need strong analytical skills, proficiency in epidemiology or biostatistics, and usually a degree in public health, statistics, or a related field. Familiarity with statistical software (such as SAS, R, or SPSS), cancer registry databases, and data visualization tools is typically required. Attention to detail, effective communication, and the ability to work independently are crucial soft skills in this remote role. These skills ensure accurate data analysis, meaningful insights for cancer research, and seamless collaboration despite working remotely.
What cities near Riverside, CA are hiring for Remote Cancer Data Analyst jobs? Cities near Riverside, CA with the most Remote Cancer Data Analyst job openings:
Remote AI Analyst

Remote AI Analyst

Turing

Riverside, CA โ€ข Remote

Other

Posted 8 days ago


Job description

Calling US-based Google Wallet Users for an Exclusive AI Evaluation Project. Open to recent graduates, professionals, and anyone interested in AI. If you actively use Google Wallet, you may already qualify for this exciting paid opportunity. No specialized technical background is requiredโ€”just your everyday experience, attention to detail, and willingness to work with advanced AI tools. Earn while helping shape the future of AI.


About Turing:

Turingโ€™s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality data, evaluations, and reinforcement learning environments that improve model capabilities in coding, reasoning, tool use, and multimodality.


Role Overview :

Turing is seeking detail-oriented AI Analysts based in the United States to support a Google Wallet evaluation project. This is a Generalist role and do not require candidates from any specific background. In this role, you will interact with Gemini models, execute evaluation workflows, review model responses, and document findings using Google Sheets.


Duration of Contract - 10 weeks

Requirement - Full time Contract - 40hrs/week - 4 hours PST Overlap


What You'll Do Day-to-Day :

- Evaluate Gemini model responses by submitting prompts and assessing output quality, accuracy, and relevance.

- Review and document evaluation results, ratings, and observations using Google Sheets.

- Participate in Google Wallet-related testing scenarios and provide structured feedback on user experiences.

- Follow project guidelines and quality standards to support AI model improvement and evaluation objectives.


Requirements :

- Must be based in the United States and actively use Google Wallet.

- Must have at least one linked payment method (credit card, debit card, or bank account) and a minimum of 5 passes stored in Google Wallet.

- Must have a Plaid account or be willing to connect a bank account through Plaid for project participation.

- Must be comfortable using Google Wallet, linked payment methods, and Plaid connectivity as part of evaluation activities.

- Strong attention to detail, analytical thinking, and ability to follow structured guidelines.

- Experience with Google Sheets and familiarity with Gemini or other generative AI tools is preferred.

- Prior experience in AI evaluation, data annotation, content review, quality assurance, or fintech-related projects is a plus.