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Statistical Programmer Part Time Jobs (NOW HIRING)

The Pennsylvania State University

$57/hr

... for a part-time programmer. The role: Help us build a focused, sharp system that turns peer ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

The Pennsylvania State University

AND POSITION REQUIREMENTS The Department of Computer Science and Engineering is seeking part-time ... Implement statistical and machine learning techniques to augment graph edge properties in ARAX;

The Pennsylvania State University

$21/hr

AND POSITION REQUIREMENTS The Department of Computer Science and Engineering is seeking part-time ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

The Pennsylvania State University

$21/hr

AND POSITION REQUIREMENTS The Department of Computer Science and Engineering is seeking part-time ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

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How much do statistical programmer part time jobs pay per year?

As of May 29, 2026, the average yearly pay for statistical programmer part time in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistical Programmer Part Time, and why are they important?

To thrive as a Statistical Programmer Part Time, you need a solid foundation in statistics, programming (often SAS, R, or Python), and a relevant degree such as statistics, mathematics, or computer science. Familiarity with statistical software, data management tools, and regulatory compliance standards like CDISC is typically required. Strong analytical thinking, attention to detail, and effective communication skills help distinguish candidates in this role. These skills ensure accurate data analysis, regulatory adherence, and clear reporting, which are crucial for supporting research and business decisions.

What are some common challenges faced by part-time statistical programmers, and how can they be managed?

Part-time statistical programmers often encounter challenges related to balancing workload and managing project deadlines, as they may have limited hours compared to full-time team members. Effective communication with supervisors and colleagues is crucial to ensure expectations are clear and tasks are prioritized appropriately. Additionally, staying updated with evolving statistical software and regulatory requirements can be demanding, so leveraging online training resources and regular team check-ins can help maintain productivity and professional growth.

What are Statistical Programmers (Part Time)?

Statistical Programmers (Part Time) are professionals who use specialized software, such as SAS, R, or Python, to manage, analyze, and report on data, often in fields like healthcare, pharmaceuticals, or research. Working part-time, they may assist with data cleaning, creating statistical reports, or supporting clinical trials, depending on the employer. Their work ensures that large and complex datasets are accurately processed and results are clearly communicated to stakeholders, even while working fewer hours than full-time staff.
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What cities are hiring for Statistical Programmer Part Time jobs? Cities with the most Statistical Programmer Part Time job openings:
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Statistical Programmer Part Time jobs near you
Infographic showing various Statistical Programmer Part Time job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 96% Physical, and 4% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.
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 29 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

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