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How much do python developer parttime jobs pay per hour?

As of May 29, 2026, the average hourly pay for python developer parttime in Riverside, CA is $61.16, according to ZipRecruiter salary data. Most workers in this role earn between $50.38 and $69.47 per hour, depending on experience, location, and employer.

What is the difference between Python Developer Parttime vs Python Developer Fulltime?

AspectPython Developer ParttimePython Developer Fulltime
Work HoursLess than 30 hours/week40 hours/week or more
CredentialsTypically similar, may require basic Python certificationsSame as parttime, often with more experience
Work EnvironmentRemote or flexible, project-basedOffice or remote, steady employment
Industry UsageFreelance, startups, part-time projectsEstablished companies, full-time roles

The main difference between a Python Developer Parttime and a Python Developer Fulltime lies in work hours, commitment, and employment structure. Parttime roles offer flexibility and fewer hours, often suitable for freelancers or students, while fulltime positions provide consistent hours and benefits. Both roles require similar skills and credentials, but the work environment and job stability differ.

What are popular job titles related to Python Developer Parttime jobs in Riverside, CA? For Python Developer Parttime jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Python Developer Parttime jobs in Riverside, CA look for? The top searched job categories for Python Developer Parttime jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Python Developer Parttime jobs? Cities near Riverside, CA with the most Python Developer Parttime job openings:
Assistant, Statistical Research Programmer PT, Limited Term

Assistant, Statistical Research Programmer PT, Limited Term

Chapman University

Orange, CA

$30/hr

Full-time, Part-time

Posted 28 days ago


Chapman University rating

7.4

Company rating: 7.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

281st of 529 rated colleges and universities


Job description

Posting Details
Position Information
Position Title
Assistant, Statistical Research Programmer PT, Limited Term
Position Type
Limited-Term
Job Number
SA74224
Full or Part Time
part-time 0-19 hours weekly
Fair Labor Standard Act Classification
Non-Exempt
Anticipated Pay Range
$30.00
Pay Range Information
Chapman University is required to provide a reasonable estimate of the compensation range for this position. This range takes into account a variety of factors that are considered in making compensation decisions, including experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. Salary offers are determined based on the final candidate's qualifications and experience, as well as internal equity and other internal factors. The anticipated pay range is not a promise of a particular wage.
Position Summary Information
Job Description Summary
The role of the Assistant Statistical Research Programmer is integral in a dynamic multidisciplinary setting, supporting research initiatives encompassing a diverse array of critical subjects, including healthcare and health policy. This position will work closely with the PI and collaborators in creating, managing, and analyzing large and complex data sets.
This position is part-time up of up to19 hours a week.
Responsibilities
  • Work closely with the PI and collaborators in creating, managing, and analyzing large data sets, for example, using Python on IQVIA databases that contain billions of claims records and dispensing records.
  • Assist faculty and graduate researchers with statistical modeling, including regression, survival analysis, cost-effectiveness modeling, and multilevel modeling.
  • Contribute to continuous improvement of departmental data infrastructure and workflow efficiency.
  • Support research projects involving large administrative claims, EHR, survey, or clinical trial data.
  • Collaborate with external collaborators in implementing machine learning algorithms.
  • Perform other duties as assigned.
Required Qualifications
  • Bachelor's degree in Statistics, Biostatistics, Data Science, Computer Science, or a related field.Python, SAS, or R for data management and statistical analysis.
  • Exceptional problem-solving abilities with a solid understanding of statistical methods
  • Good, Strong interpersonal and communication skills
  • Ability to produce careful and detail-oriented work
  • Ability to work in a team environment.
  • A minimum of one year of experience in statistical programming with Python, SAS, or R, with a preference for candidates proficient in at least two of the mentioned languages.
Desired Qualifications
  • Master's Degree in related field.
  • A good understanding of statistical methods for geospatial epidemiology (e.g., ArcGIS and
    preferably SaTScanTM).
  • Experience in writing and preparing manuscripts for publication.
  • Thorough understanding and knowledge of epidemiological study design.
  • Previous clinical or research training.

  • Special Instructions to Applicants
    Chapman University is an equal opportunity employer that provides equal employment opportunities to all individuals, regardless of their protected characteristics. All qualified applicants and employees are encouraged to apply and will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law.
    Applicants for Staff and Administrator positions must be currently authorized to work in the United States on a full-time basis.
    The offer of employment is contingent upon satisfactory completion and outcomes of a criminal background screening and returning to the Office of Human Resources a signed original acceptance of the Chapman University Agreement to Arbitrate.
    Minimum Number of References