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Remote Science Jobs in Rancho Cucamonga, CA (NOW HIRING)

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 ...

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 ...

Lead Clinical Data Manager (Remote)

Anaheim, CA ยท Remote

$68.50K - $217.10K/yr

Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ... Fully remote role - company equipment provided * Competitive salary and performance-based ...

Lead Clinical Data Manager (Remote)

Anaheim, CA ยท Remote

$68.50K - $217.10K/yr

Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ... Fully remote role - company equipment provided * Competitive salary and performance-based ...

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Remote Science information

See Rancho Cucamonga, CA salary details

$25K

$49.5K

$80.7K

How much do remote science jobs pay per year?

As of May 28, 2026, the average yearly pay for remote science in Rancho Cucamonga, CA is $49,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,300.00 and $53,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Science professional, you need a strong background in your scientific discipline, analytical skills, and typically a relevant degree or higher qualification. Familiarity with data analysis tools, virtual collaboration platforms, and scientific software such as Python, R, or MATLAB is important. Excellent written communication, time management, and self-motivation are standout soft skills in this remote environment. These abilities ensure effective research, collaboration, and productivity while working independently from various locations.

What are some common challenges faced by professionals working in remote science roles, and how can they be addressed?

Professionals in remote science roles often face challenges such as effective communication across time zones, limited access to lab equipment, and maintaining collaboration with team members. To address these issues, it is helpful to establish regular virtual check-ins, utilize collaborative digital tools, and set clear expectations for project milestones. Many teams also adopt cloud-based data sharing and remote access to specialized software, ensuring that scientific work continues smoothly despite physical distance.

What are remote science jobs?

Remote science jobs are positions in scientific fields that can be performed outside of traditional laboratory or office environments, typically from home or any location with internet access. These jobs may include roles in research, data analysis, scientific writing, consulting, or education. Advances in technology and communication tools have made it possible for scientists to collaborate, conduct experiments, and analyze data remotely. Remote science jobs offer flexibility and can help employers and employees reach a broader talent pool. Common areas include biology, chemistry, environmental science, and healthcare research.

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

AspectRemote ScienceRemote Data Analyst
Required CredentialsScience degrees, research experience, technical skillsStatistics, data analysis certifications, technical skills
Work EnvironmentResearch labs, academic institutions, remote research projectsBusiness, finance, tech companies, remote data analysis roles
Employer & Industry UsageUniversities, research institutes, biotech firmsCorporations, consulting firms, tech startups
Search & Comparison IntentUnderstanding research roles, scientific projectsData analysis tasks, business insights

Remote Science and Remote Data Analyst roles share a focus on technical skills and remote work environments. However, Remote Science typically involves research, scientific experiments, and academic or biotech settings, while Remote Data Analysts focus on interpreting data for business insights in corporate environments. Both roles require analytical skills but differ in industry application and specific credentials.

What are the most commonly searched types of Science jobs in Rancho Cucamonga, CA? The most popular types of Science jobs in Rancho Cucamonga, CA are:
What are popular job titles related to Remote Science jobs in Rancho Cucamonga, CA? For Remote Science jobs in Rancho Cucamonga, CA, the most frequently searched job titles are:
What job categories do people searching Remote Science jobs in Rancho Cucamonga, CA look for? The top searched job categories for Remote Science jobs in Rancho Cucamonga, CA are:
What cities near Rancho Cucamonga, CA are hiring for Remote Science jobs? Cities near Rancho Cucamonga, CA with the most Remote Science job openings:
Infographic showing various Remote Science job openings in Rancho Cucamonga, CA as of May 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 5% In-person, and 95% Remote job distribution, with an average salary of $49,451 per year, or $23.8 per hour.
Remote Bioinformatics Scientist-481639

Remote Bioinformatics Scientist-481639

Stealth Startup

Riverside, CA โ€ข Remote

Full-time

Medical, PTO

Posted 13 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 โ€” 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: 15โ€“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