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Part Time Phd Statistics information

What are part-time PhD programs in statistics?

Part-time PhD programs in Statistics are doctoral degree tracks designed for students who wish to pursue advanced research and study while balancing other commitments, such as work or family. These programs typically offer flexible schedules, allowing candidates to complete coursework and research over an extended period compared to full-time study. Part-time PhD students engage in the same rigorous academic and research requirements as their full-time counterparts, but with more adaptable timelines. This pathway is ideal for professionals seeking to advance their careers or contribute to research without pausing their current employment.

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

To thrive as a Part-Time PhD Statistician, you need advanced expertise in statistical theory, data analysis, and research methodology, typically supported by a PhD in Statistics or a related quantitative field. Proficiency with statistical software such as R, SAS, Python, or SPSS and experience with data visualization tools are commonly required. Strong communication, critical thinking, and time management skills help you explain complex results and balance multiple responsibilities. These abilities ensure high-quality analytical work, effective collaboration, and the capacity to contribute valuable insights in academic or industry settings.

What are common challenges faced by part-time PhD statistics candidates, and how can they manage these effectively?

Part-time PhD Statistics candidates often balance academic research with professional or personal commitments, which can make time management a significant challenge. Coordinating with advisors and accessing campus resources may require extra planning due to limited on-campus presence. To manage these challenges effectively, candidates should establish a clear schedule, maintain regular communication with supervisors, and leverage online collaboration tools. Building a support network among peers and faculty can also provide guidance and encouragement throughout the program.

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

AspectPart Time Phd StatisticsPart Time Data Analyst
Required CredentialsPhD in Statistics or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentAcademic, research institutions, or specialized consultingBusiness, corporate, or tech companies
Employer & Industry UsageUniversities, research labs, government agenciesPrivate companies, finance, marketing, tech firms
Common Search & Comparison IntentAcademic research, advanced statistical analysisData interpretation, reporting, business insights

While a Part Time Phd in Statistics focuses on advanced research, theoretical development, and academic contributions, a Part Time Data Analyst applies statistical skills to analyze data for business decisions. Both roles require strong analytical skills, but differ in credentials, work environment, and industry focus.

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Part Time Phd Statistics jobs near you
Infographic showing various Part Time Phd Statistics job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Research Statistician (Part-Time)

Chapman University

Orange, CA • On-site

$40 - $50/hr

Full-time, Part-time

Posted yesterday

New

Chapman University rating

7.7

Company rating: 7.7 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

262nd of 620 rated colleges and universities

Job description

Posting Details
Position Information
Position Title
Research Statistician (Part-Time)
Position Type
Limited-Term
Job Number
SA89124
Full or Part Time
part-time 0-19 hours weekly
Fair Labor Standard Act Classification
Non-Exempt
Anticipated Pay Range
$40.00 - $50.00
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
Statistician will work in the area of psychosocial health. The position requires high-level expertise in psychology, research design, data preprocessing, and applied statistics. Key responsibilities include preprocessing data for analysis, performing complex data analysis, manuscript writing, publishing research findings in peer-reviewed journals, and mentoring junior researchers. This position requires an advanced degree (PhD [preferrable] or Masters) in a field related to research design and/or applied statistical analysis.
Responsibilities
Data Preprocessing
  • Cleaning data extracted from medical records and/or RedCap survey software
  • Restructuring data (e.g., going from wide to long or vice versa)
  • Identifying and reporting data errors through descriptives and frequency statistics
  • Calculating variables (e.g., sum scores, averages of scale items)
  • Ensuring data align with codebook

Statistical Analysis
  • Conducting advanced statistical models (e.g., multilevel modeling, structural equation modeling) to test hypotheses
  • Writing up statistical findings in both paragraph and table/figure form

Manuscript Writing
  • Crafting manuscript sections (e.g., introduction, methods, results, discussion) to convey the research question, study design, and outcomes of the results
  • Submit manuscript for publication in journal portal

Mentoring Junior Researchers
  • Guide other staff/students in conducting statistics (e.g., t-tests, linear regression)
  • Guide other staff/students in creating tables for statistical results (e.g., bar graphs, line graphs)

Participating in meetings
  • Meetings that regard data processing (including format of the data needed to match codebooks)
  • Meetings that regard planning and interpreting statistical analyses

Required Qualifications
  • Advanced degree in a related field conducting inferential/applied statistics
  • 4+ years of graduate-level research experience in psychology or a related field
  • Experience with statistical software (e.g., SPSS, R, Stata)
  • Advanced understanding of inferential statistical methods and applied data analysis
  • Excellent scientific writing and public presentation skills
  • Ability to work independently and manage multiple research tasks

Desired Qualifications
  • 5+ peer-reviewed publications in recognized scientific journals
  • Experience supervising or mentoring research assistants or students

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
2
Maximum Number of References
3

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