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Postdoctoral In Bayesian Statistics Jobs in Los Angeles, CA

Lead, Statistician

Canoga Park, CA · On-site

$127K - $236K/yr

Graduate Degree in Engineering, Mathematics, or Statistics and a minimum of 7 years of prior ... Familiarity with machine learning, Artificial Intelligence, and Bayesian methods * ASQ Certified ...

Postdoctoral Fellow - Pancreatic Cancer

Duarte, CA · On-site

$51K - $69K/yr

The Beckman Research Institute of City of Hope is seeking a highly motivated Postdoctoral Fellow to ... Proficiency in one or more statistical or scripting languages, preferably R or MATLAB. * Knowledge ...

Postdoctoral Fellow - Pancreatic Cancer

Duarte, CA · On-site

$51K - $69K/yr

The Beckman Research Institute of City of Hope is seeking a highly motivated Postdoctoral Fellow to ... Proficiency in one or more statistical or scripting languages, preferably R or MATLAB. * Knowledge ...

Showing results 21-40

Postdoctoral In Bayesian Statistics information

See Los Angeles, CA salary details

$26.9K

$63.6K

$90K

How much do postdoctoral in bayesian statistics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for postdoctoral in bayesian statistics in Los Angeles, CA is $63,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $71,700.00 per year, depending on experience, location, and employer.

What is a postdoctoral position in Bayesian statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in Bayesian statistics?

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.

What are popular job titles related to Postdoctoral In Bayesian Statistics jobs in Los Angeles, CA?

For Postdoctoral In Bayesian Statistics jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Los Angeles, CA look for?

The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Postdoctoral In Bayesian Statistics jobs?

Cities near Los Angeles, CA with the most Postdoctoral In Bayesian Statistics job openings:

Infographic showing various Postdoctoral In Bayesian Statistics job openings in Los Angeles, CA as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $63,597 per year, or $30.6 per hour.

$64K - $72K/yr

Full-time

Re-posted 11 days ago


Job description

A postdoctoral research position in cancer and genetic epidemiology is available at the USC Center for Genetic Epidemiology within the Department of Population and Public Health Sciences at USC. The applicant must have a Ph.D. (or equivalent qualification) with training in epidemiology, biostatistics and/or statistical genetics. The postdoctoral fellow will work directly with Drs. Chris Haiman and David Conti on analyzing risk factors, genetic and other omics data from diverse cohorts including the Multiethnic Cohort study, the RESPOND African American prostate cancer study and other large-scale genetics consortia (e.g. NHGRI PAGE and PRIMED. In addition to cancer, non-cancer outcomes will also be examined including anthropometric traits, diabetes and biomarkers, such as lipids, glucose, insulin or inflammatory markers. Studies focused on polygenic risk score development, rare variant analysis and health disparities research will be available. Desired is an applicant familiar with many of the most common analytic tools for genetic association studies. In addition, s/he will participate in the presentation of their research and in the writing of publications. The position requires a highly motivated individual with excellent written and verbal communication skills.

Preferred Experience: Training in epidemiology, biostatistics and/or statistical genetics

Preferred Field of Expertise: Epidemiology, biostatistics and/or statistical genetics

The annual base salary range for this position is $64,480- $72,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

Minimum Education: Ph.D. or equivalent doctorate within previous five years
Minimum Experience: 0-1 year
Minimum Field of Expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods.
Preferred Experience: Training in epidemiology, biostatistics and/or statistical genetics
Preferred Field of Expertise: Epidemiology, biostatistics and/or statistical genetics

USC 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, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to theBackground Screening Policy Appendix Dfor specific employment screen implications for the position for which you are applying.

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email atuschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.

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