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Remote Phd Statistics Jobs in California (NOW HIRING)

Mercor

AI Research Scientist - PhD

San Francisco, CA · Remote

$55 - $80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project with ... PhD or advanced degree (or equivalent industry experience) in Medicine , Healthcare , Statistics ...

YO AI Labs

Biostatistician Expert - Remote

San Jose, CA · Remote

$60 - $70/hr

Remote Job Type: Contractor Pay: $60-$65/hour Job Overview We are looking for an experienced ... MSc or PhD in Biostatistics, Statistics, or a related field. * Experience with regulatory ...

Mercor

Data Science Expert - AI/ML

San Francisco, CA · Remote

$60 - $90/hr

Contract Compensation: $60-$90/hour Location: Remote Commitment: 35 hours/week Role ... MSc or PhD in statistics, data science, or a quantitative STEM field, or equivalent experience ...

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All JobsPhd Statistics JobsRemote Phd Statistics JobsRemote Phd Statistics Jobs in California

Remote Phd Statistics information

What is a remote PhD statistician?

Remote PhD statistics jobs are positions that require an advanced degree (PhD) in statistics, allowing professionals to work from home or any location outside a traditional office. These roles typically involve designing statistical models, analyzing complex data sets, and collaborating with research teams or organizations virtually. Common industries hiring for remote PhD statistics jobs include academia, healthcare, pharmaceuticals, tech, and government agencies. The flexibility of remote work enables statisticians to contribute to projects worldwide while maintaining a work-life balance.

What are the key skills and qualifications needed to thrive as a remote PhD statistician?

To thrive as a Remote PhD Statistician, you need advanced statistical knowledge, expertise in data analysis, and a doctoral degree in statistics or a related field. Proficiency in statistical software such as R, SAS, or Python, and experience with data management systems are typically required. Strong problem-solving abilities, self-motivation, and effective written communication are crucial for collaborating remotely and presenting complex findings clearly. These skills ensure rigorous data analysis, reliable insights, and effective contributions to research or business objectives in a remote environment.

What are some common challenges faced by remote PhD statisticians, and how can they be addressed?

Remote PhD statisticians often face challenges such as maintaining clear communication with cross-functional teams, managing time across different time zones, and staying updated with the latest statistical methodologies. These can be addressed by leveraging collaborative tools (like Slack or Zoom), setting regular check-ins with team members, and participating in virtual conferences or workshops. Proactively seeking feedback and documenting work processes also helps ensure alignment and productivity in a remote environment.

What is the difference between Remote Phd Statistics vs Remote Data Scientist?

AspectRemote Phd StatisticsRemote Data Scientist
Required CredentialsPhD in Statistics or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, often academic or industry R&DApplied analytics, product development, business insights
Employer & Industry UsageUniversities, research institutions, biotech, financeTech companies, finance, healthcare, e-commerce
Common Search & ComparisonYesYes

Remote Phd Statistics roles typically involve research, advanced statistical modeling, and theoretical work, often in academic or R&D settings. Remote Data Scientist positions focus on applying data analysis, machine learning, and programming skills to solve practical business problems. While both roles require strong analytical skills, the PhD in Statistics emphasizes research and theory, whereas Data Scientists focus on application and implementation.

What are the most commonly searched types of Phd Statistics jobs in California?

The most popular types of Phd Statistics jobs in California are:

What are popular job titles related to Remote Phd Statistics jobs in California?

For Remote Phd Statistics jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Phd Statistics jobs in California look for?

The top searched job categories for Remote Phd Statistics jobs in California are:

What cities in California are hiring for Remote Phd Statistics jobs?

Cities in California with the most Remote Phd Statistics job openings:

Remote Phd Statistics jobs near you
Infographic showing various Remote Phd Statistics job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Computational Statistics Expert - PhD

Mercor

San Francisco, CA • Remote

$70 - $90/hr

Full-time

Posted 3 days ago

New

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Computational Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab)
Type: Contract
Compensation: $70–$90/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI systems' ability to solve scientific and engineering tasks.
  • Develop problems requiring skilled use of specialized statistical, mathematical, or scientific software packages.
  • Test and refine problems against state-of-the-art AI models to achieve target difficulty.
  • Collaborate with AI research teams to improve problem setups and solution validators.
  • Work independently in a Linux/terminal environment with remote compute sandboxes.

Qualifications

Must-Have

  • Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
  • Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.
  • Strong Python skills.
  • Ability to work independently and refine problem designs based on feedback.
  • Available for at least 15–20 hours per week.

Preferred

  • Experience across multiple computational domains or specialized software packages.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.