2

Part Time Phd Statistics Jobs (NOW HIRING)

... RD or RD/PhD to teach. A full listing of undergraduate courses is available at: Salary is ... CAMPUS SECURITY CRIME STATISTICS: Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

Part Time Educator (Graduate Program) DESCRIPTION | QUALIFICATIONS: Cleary University seeks ... PhD, JD, DBA) degrees in the following disciplines: Analytics amp; Statistics Accounting amp;

next page

Showing results 1-20

Part Time Phd Statistics information

What are the key skills and qualifications needed to thrive as a Part-Time PhD Statistician, and why are they important?

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 jobs can I get with a PhD in statistics?

A PhD in statistics qualifies individuals for roles such as data scientist, quantitative analyst, biostatistician, research scientist, and statistical consultant. These positions often require strong analytical skills, proficiency in statistical software like R or SAS, and the ability to interpret complex data for decision-making across industries including healthcare, finance, technology, and academia.

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 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.

What are some 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.

Can I work on a PhD part-time?

Part-time PhD Statistics programs are available at many universities, allowing students to balance research, coursework, and employment. These programs typically require flexible scheduling and self-motivation, and students often work in related fields or teaching roles while completing their degree.

How much can you make with a PhD in statistics?

A Part Time PhD in Statistics can lead to earning $50,000 to $120,000 annually, depending on experience, industry, and location. Advanced skills in data analysis, statistical software, and research can increase earning potential, especially in consulting, academia, or specialized industries.

Is it worth doing a part-time PhD?

A part-time PhD in statistics allows professionals to gain advanced research skills while working, but it typically takes longer to complete and requires strong time management. It can enhance career prospects in data analysis, research, or academia, especially if combined with relevant experience and skills in statistical software. The decision depends on individual goals, workload capacity, and the ability to balance work and study commitments.
More about Part Time Phd Statistics jobs
What cities are hiring for Part Time Phd Statistics jobs? Cities with the most Part Time Phd Statistics job openings:
What are the most commonly searched types of Phd Statistics jobs? The most popular types of Phd Statistics jobs are:
What states have the most Part Time Phd Statistics jobs? States with the most job openings for Part Time Phd Statistics jobs include:

Remote | Advanced Physics Research Consultant -- $100-$200/hour

24-MAG

New York, NY • On-site, Remote

$100 - $200/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

We are sharing a specialised part-time consulting opportunity for accomplished physics researchers experienced in research-grade problem authoring, advanced physics reasoning, analytical derivation, numerical modeling, experimental design, literature reasoning, reference solution review, and technical evaluation.

This role supports current and upcoming remote consulting opportunities focused on advanced physics task design, scientific reasoning evaluation, research-level solution review, model output assessment, failure analysis, and high-quality project execution. Selected professionals will contribute deep physics expertise to author and review challenging tasks that reflect the reasoning level of active researchers across major physics subfields.

Key Responsibilities

Professionals in this role may contribute to:

Research-Level Physics Task Authoring

  • Author and review challenging physics problems used to evaluate advanced scientific reasoning
  • Create tasks involving analytical derivation, mechanism prediction, numerical modeling, experimental design, or literature-based reasoning
  • Develop rigorous problem statements, reference solutions, and evaluation criteria
  • Ensure tasks reflect real research-level physics reasoning rather than textbook-style exercises

Advanced Output Evaluation & Failure Analysis

  • Evaluate outputs on physics tasks across theoretical, computational, experimental, and literature-driven contexts
  • Surface areas where reasoning fails, especially subtle mistakes that experienced PhD-level physicists would catch quickly
  • Classify issues involving flawed derivations, weak assumptions, incorrect physical interpretation, or incomplete scientific reasoning
  • Provide clear written feedback grounded in active research expertise

Physics Review & Expert Collaboration

  • Collaborate with project teams and other senior contributors to maintain high standards of accuracy and rigor
  • Review challenging physics tasks across subfields such as theoretical physics, condensed matter, quantum information, particle physics, high-energy theory, astrophysics, cosmology, AMO physics, plasma physics, biophysics, statistical physics, computational physics, and mathematical physics
  • Help refine evaluation criteria and review standards for advanced physics reasoning
  • Maintain strong documentation, consistency, and scientific precision across submitted work

Ideal Profile

Strong candidates may have:

  • Current or recent active research role as a PhD candidate, postdoc, instructor, faculty member, principal scientist, or industry researcher
  • Strong research output in physics or a closely related field
  • Deep expertise in one or more advanced physics subfields
  • First-author or co-first-author publications in highly respected journals such as Physical Review Letters, Physical Review X, Reviews of Modern Physics, Nature Physics, Nature, Science, PNAS, Nature Communications, Physical Review A/B/C/D/E, Physics Letters B, JHEP, ApJ, MNRAS, Quantum, Communications Physics, or top specialty journals
  • Doctoral or postdoctoral training at a highly selective research institution
  • Ability to write rigorous physics problems, evaluate advanced solutions, and explain subtle reasoning gaps clearly
  • Strong written communication skills and ability to work independently in a remote, project-based environment

Educational Background

  • Current PhD enrollment, completed PhD, postdoctoral training, faculty role, industry research role, or comparable advanced research background in physics is highly relevant
  • Outstanding senior PhD students and recent graduates with strong publication records are encouraged to apply
  • Research backgrounds in theoretical physics, condensed matter, quantum information, particle physics, high-energy theory, astrophysics, cosmology, AMO physics, plasma physics, biophysics, statistical physics, computational physics, or mathematical physics may be especially valuable

Nice to Have

  • Competitive fellowships, awards, or recognitions such as NSF GRFP, Hertz, DOE CSGF, Sloan, Packard, Simons, Moore Foundation, Hubble, Einstein, Sagan, Kavli, Marie Curie/MSCA, Fulbright, Rhodes, Marshall, Gates Cambridge, Schmidt Science Fellow, Knight-Hennessy, SNSF Postdoc, NSF CAREER, APS Fellow, or equivalent
  • Issued patents, spin-out companies, or grants where the contributor was a named PI or co-PI
  • International Physics Olympiad medalist background or comparable competitive physics achievement
  • Experience reviewing advanced derivations, research manuscripts, physics benchmark tasks, or graduate-level problem sets
  • Ability to contribute approximately 4–16 hours per week depending on project scope

Why This Opportunity

  • Apply advanced physics research expertise to structured remote scientific evaluation work
  • Contribute to high-quality research-grade physics tasks, reference solutions, and expert review materials
  • Work on flexible assignments aligned with your physics subfield and research background
  • Use your scientific judgment to identify subtle reasoning failures and improve advanced physics evaluation standards
  • Remote structure with competitive hourly compensation

Contract Details

  • Independent contractor role
  • Fully remote with flexible scheduling
  • Eligible professionals should be based in the United States depending on project needs
  • Expected commitment of approximately 4–16 hours per week depending on project availability
  • Competitive rates between $100–$200 per hour depending on research seniority, credentials, and project scope
  • Weekly payments via Stripe or Wise
  • Projects may continue on an ongoing basis, or may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.