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Part Time Statistics Jobs in California (NOW HIRING)

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Part Time Statistics information

What is the difference between Part Time Statistics vs Part Time Data Analyst?

AspectPart Time StatisticsPart Time Data Analyst
Required CredentialsTypically a degree in statistics, mathematics, or related fieldOften a degree in data analysis, statistics, or computer science
Work EnvironmentResearch firms, government agencies, educational institutionsBusinesses, tech companies, consulting firms
Industry UsageUsed in research, academia, government projectsApplied in business analytics, marketing, finance
Common Search IntentUnderstanding statistical roles, part-time opportunities in statisticsPart-time data analysis jobs, data analyst roles

Part Time Statistics focuses on roles centered around statistical theory and research, often in academic or research settings. Part Time Data Analyst involves analyzing data to support business decisions, typically in corporate environments. While both roles require analytical skills, their work environments and industry applications differ significantly.

What is a part-time statistician?

Part-time statistics jobs involve working fewer hours than a full-time role, often offering flexible schedules suitable for students, professionals seeking side income, or those balancing other commitments. These positions typically require analyzing data, creating statistical models, and interpreting results to support business decisions or academic research. Duties may include gathering data, using statistical software, and preparing reports. Part-time statistics jobs can be found in sectors like education, healthcare, government, and private industry.

What are some typical challenges faced by part-time statistics professionals, and how can they effectively manage their workload?

Part-time statistics professionals often navigate challenges such as balancing project deadlines with limited working hours and managing multiple assignments simultaneously. They may also encounter difficulties staying fully integrated with full-time teams and accessing ongoing project updates. To manage these challenges, clear communication with supervisors, setting realistic expectations, and making efficient use of data analysis tools are key. Regular check-ins and proactive time management can help ensure successful project delivery and maintain a collaborative team environment.

Are part time statisticians still in demand?

Part-time statisticians are still in demand as organizations seek flexible data analysis support for projects, especially those skilled in statistical software like R or SAS. Opportunities exist across industries such as healthcare, finance, and marketing, often requiring strong analytical skills and the ability to work independently. The demand for part-time roles depends on industry needs and the ability to deliver timely insights.

What are the key skills and qualifications needed to thrive as a part-time statistician?

To thrive as a Part-Time Statistician, you need a strong background in statistics, mathematics, and data analysis, usually supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, SPSS, or Python, and proficiency in spreadsheet tools like Excel, are commonly required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data accurately and share insights with non-technical stakeholders. These skills ensure reliable data-driven decision-making and contribute to successful project outcomes.

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

The most popular types of Statistics jobs in California are:

Part Time Statistics jobs near you
Infographic showing various Part Time Statistics job openings in California as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Assistant, Statistical Research Programmer PT, Limited Term

Chapman University

Orange, CA • On-site

$30/hr

Full-time, Part-time

Re-posted 18 days ago

Chapman University rating

7.7

Company rating: 7.7 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

260th of 618 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 SaTScan™).
  • 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
At Chapman University, we believe collaboration thrives through in-person engagement. This position is fully on campus, and employees work alongside colleagues, faculty, students, and staff each day to support our vibrant university community.
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
Maximum Number of References

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