ZipRecruiter

Log In

1

Ai Research Phd Jobs in Riverside, CA (NOW HIRING)

previous pagenext page

Showing results 21-40

All JobsAi Research Phd JobsAi Research Phd Jobs in Riverside, CA

Ai Research Phd information

See Riverside, CA salary details

$38.6K

$110.6K

$148.7K

How much do ai research phd jobs pay per year?

As of Sep 3, 2026, the average yearly pay for ai research phd in Riverside, CA is $110,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $108,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Ai Research Phd jobs in Riverside, CA?

For Ai Research Phd jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Ai Research Phd jobs in Riverside, CA look for?

The top searched job categories for Ai Research Phd jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Ai Research Phd jobs?

Cities near Riverside, CA with the most Ai Research Phd job openings:

Ai Research Phd jobs near you
Infographic showing various Ai Research Phd job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $110,599 per year, or $53.2 per hour.

Biostatistician (Remote | $120-$170/hr)

Synthires

Riverside, CA • On-site

$120 - $170/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description


Biostatistician


Position: Biostatistician


Type: Contract


Compensation: $120–$170/hour


Location: Remote


About the Opportunity

This opportunity is for experienced Biostatisticians with expertise in biostatistics, clinical research, statistical modeling, study design, data analysis, and regulatory standards to contribute to advanced AI research and evaluation projects.

In this role, you'll apply your expertise to evaluate complex statistical analyses, clinical research methodologies, study designs, and AI-generated scientific outputs. Your work will help improve the accuracy, reasoning, and analytical capabilities of next-generation AI systems.

No prior AI experience is required. Your biostatistical expertise, methodological rigor, clinical interpretation, and regulatory knowledge are the primary qualifications for success in this role.

Responsibilities

  • Evaluate AI-generated biostatistical analyses, clinical research outputs, and statistical methodologies for accuracy and scientific rigor.
  • Apply expertise in study design, hypothesis testing, regression analysis, survival analysis, and statistical modeling.
  • Analyze clinical trial data, observational studies, epidemiological data, and healthcare datasets.
  • Review experimental designs, statistical analysis plans, endpoints, sample size calculations, and data interpretation.
  • Assess the appropriateness of statistical methods, assumptions, models, and analytical approaches.
  • Identify methodological errors, statistical inconsistencies, biases, and potential limitations in analyses.
  • Translate complex biostatistical concepts and research findings into clear, structured documentation for AI training and evaluation.
  • Apply professional judgment to ensure methodological rigor, clinical relevance, regulatory sensitivity, and statistical accuracy.

Required Qualifications

  • Master's degree or higher in Biostatistics, Statistics, Epidemiology, Public Health, Mathematics, or a related quantitative discipline.
  • Strong experience in biostatistical analysis, clinical research, healthcare research, or pharmaceutical research.
  • Expertise in statistical modeling, hypothesis testing, regression analysis, survival analysis, and experimental design.
  • Experience analyzing clinical trials, observational studies, or real-world healthcare data.
  • Proficiency in statistical software such as R, SAS, Python, SPSS, or Stata.
  • Strong understanding of clinical research methodologies, data interpretation, and statistical reporting.
  • Excellent analytical, problem-solving, written, and verbal communication skills.
  • Ability to work independently in a fully remote environment.

Preferred Qualifications

  • PhD in Biostatistics, Statistics, Epidemiology, Public Health, or a related field.
  • Experience working with clinical trials, pharmaceutical research, medical research, or regulatory submissions.
  • Familiarity with FDA, EMA, ICH, GCP, or other relevant regulatory guidelines.
  • Experience developing statistical analysis plans, clinical study protocols, or research evaluation frameworks.
  • Experience with machine learning, healthcare analytics, AI model evaluation, or scientific data annotation.
  • Experience collaborating with cross-functional, clinical, research, or remote teams.

Compensation

  • Competitive compensation of $120–$170/hour.
  • Weekly payments.
  • Independent contractor engagement.

Application Process

  1. Easy Apply on LinkedIn
  2. Check Email for Next Steps
  3. Participate in Resume Evaluation & Interview Stage


Apply