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How much do statistics postdoc jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for statistics postdoc in California is $34.67, according to ZipRecruiter salary data. Most workers in this role earn between $23.30 and $39.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Statistics Postdoc position, and why are they important?

To thrive as a Statistics Postdoc, you need an advanced degree (usually a Ph.D.) in statistics or a closely related field, with strong analytical, mathematical, and research skills. Familiarity with statistical software such as R, Python, SAS, or MATLAB, and experience in data management or computational modeling are typically expected. Excellent problem-solving skills, effective communication, and the ability to work collaboratively enhance your effectiveness in multidisciplinary research teams. These skills are important because postdoctoral researchers must generate rigorous scientific results while contributing to scholarly publications and advancing ongoing research projects.

What types of projects and collaborations can a Statistics Postdoc typically expect to be involved in?

As a Statistics Postdoc, you will likely contribute to a range of research projects, often partnering with faculty, graduate students, and professionals from diverse disciplines such as public health, engineering, or biology. These collaborations may involve developing new statistical methodologies, analyzing large or complex data sets, and publishing findings in peer-reviewed journals. You may also have opportunities to mentor junior researchers and present your work at conferences. This collaborative and dynamic environment offers valuable experience for building a strong academic or industry-focused research career.

What is a Statistics Postdoc job?

A Statistics Postdoc is a temporary research position for individuals who have recently earned a Ph.D. in statistics or a related field. It typically involves conducting advanced research, developing new statistical methods, analyzing complex data, and collaborating with faculty and other researchers. Postdocs may also teach, publish papers, and contribute to grant writing. The position helps early-career researchers gain experience before pursuing faculty or industry roles.

What are the most commonly searched types of Statistics Postdoc jobs in California? The most popular types of Statistics Postdoc jobs in California are:
What are popular job titles related to Statistics Postdoc jobs in California? For Statistics Postdoc jobs in California, the most frequently searched job titles are:
What job categories do people searching Statistics Postdoc jobs in California look for? The top searched job categories for Statistics Postdoc jobs in California are:
What cities in California are hiring for Statistics Postdoc jobs? Cities in California with the most Statistics Postdoc job openings:
Statistics Postdoc jobs near you
Infographic showing various Statistics Postdoc job openings in California as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $72,104 per year, or $34.7 per hour.
Postdoctoral Scholar/Researcher in Statistical Genetics - Human Genetics - Young Lab

Postdoctoral Scholar/Researcher in Statistical Genetics - Human Genetics - Young Lab

University of California, Los Angeles

Los Angeles, CA • On-site

Other

Posted yesterday

UCLA rating

8.0

Company rating: 8.0 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

149th of 537 rated colleges and universities

Job description

Position description
Applications are invited for a full-time Postdoctoral Researcher position to work with Dr. Alexander Young on the development of mathematical theory, statistical methods, and software in statistical genetics. This role is ideal for a researcher with strong quantitative and computational skills interested in foundational research exploring how genetic variation influences human traits, diseases, behaviors, and social outcomes.
A central theme of Dr. Young's research is how we can use the randomisation of genetic material within-families to disentangle nature and nurture. This then enables us to understand how genetic and cultural transmission from parents to offspring, combined with mating patterns, shape the distribution of traits in the population. The successful candidate will play a central role in developing new statistical methods, software, and theoretical frameworks.
Dr. Young is on the steering committee member of the Social Science Genetic Association Consortium (SSGAC), a cooperative enterprise between medical researchers and social scientists that coordinates genetic association studies across the biomedical and social sciences, fostering interdisciplinary collaboration. The successful candidate will have the opportunity to collaborate with Prof. Daniel Benjamin (UCLA Human Genetics and Anderson School of Management), as well as other prominent SSGAC researchers including Patrick Turley (USC) and Aysu Okbay (Amsterdam UMC).
Key Responsibilities
• Develop and apply mathematical and statistical models for analyzing genetic data.
• Design and implement computational tools and software to support statistical genetics research.
• Lead and contribute to academic publications and present findings at scientific conferences.
Qualifications
Basic qualifications
• Ph.D. in statistics, mathematics, computational biology, statistical genetics, quantitative genetics, or a closely related field.
• Strong background in quantitative methods, statistical modeling, and computational approaches.
• Experience in programming (e.g., Python, R, C++, Julia) and working with large-scale genetic datasets.
• Demonstrated research excellence, evidenced by publications or working papers.
• Ability to work independently and collaboratively in an interdisciplinary environment.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Research Paper or Other Writing Sample
  • Statement of Research (Optional)
  • Reference check authorization release form - Complete and upload the reference check authorization release form
  • Misc / Additional (Optional)

Reference requirements
  • 2 required (contact information only)

Please provide the names and contact information of two references.
Apply link: https://recruit.apo.ucla.edu/JPF10842
Help contact: jkeh@mednet.ucla.edu
About UCLA
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, Students and Third Parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Job location
Los Angeles, CA

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