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Phd Statistics Jobs in Raleigh, NC (NOW HIRING)

Conduct and QC analyses, identification of diagnosis and treatment codes and applying statistical ... PhD with 3 years relevant experience * Strong track record of analysis of RWD using claims, EMR ...

Postdoctoral

Chapel Hill, NC

$41K - $56K/yr

... statistical and data mining techniques, and strong programming skills. Experience with developing ... PhD in Bioinformatics or Cheminformatics Additional Information All your information will be kept ...

A PhD degree is required. Preferred Qualifications: * Experience with large-scale or high ... Have proficiency in statistical programming (e.g., R, SAS, STATA, or Python) * Have interest or ...

A PhD degree is required. Preferred Qualifications: * Experience with large-scale or high ... Have proficiency in statistical programming (e.g., R, SAS, STATA, or Python) * Have interest or ...

Statistical analysis and database management. * Conduct systematic reviews * Mixed-methods ... Earned a doctorate (PhD, MD/MPH, etc.) in implementation science * Demonstrated proficiency through ...

Statistical analysis and database management. * Conduct systematic reviews * Mixed-methods ... Earned a doctorate (PhD, MD/MPH, etc.) in implementation science * Demonstrated proficiency through ...

Perform advanced statistical and computational analyses to interpret complex datasets and derive ... PhD preferred * Strong verbal and written communication skills * Familiar with multiple next gen ...

... OR PhD with 6+ years of work-related experience. • Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field. • Have experience working directly ...

PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics ...

Biostatistician

Cary, NC · Remote

$60 - $100/hr

MS or PhD in biostatistics, statistics, or epidemiology. * 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts. * Demonstrated command of clinical ...

MS or PhD in biostatistics, statistics, or epidemiology. * 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts. * Demonstrated command of clinical ...

Showing results 41-60

Phd Statistics information

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data analysis, and academia, often requiring strong analytical and programming skills in tools like R or Python. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What are the typical projects or research areas for someone with a PhD in statistics?

A PhD in Statistics often works on projects involving the design and analysis of experiments, predictive modeling, advanced data analytics, and the development of new statistical methodologies. Depending on the industry, these may span sectors like healthcare, finance, technology, or government, requiring collaboration with diverse teams of subject matter experts. The role may also involve publishing research, presenting findings, and supporting organizational decision-making with evidence-based insights. This dynamic environment allows statisticians to solve real-world problems and continuously learn new analytical techniques.

What are the key skills and qualifications needed to thrive in a PhD statistics position?

To thrive as a PhD in Statistics, you need advanced knowledge of statistical theory, data analysis, and research methodologies, typically backed by a doctorate in statistics or a closely related field. Expertise with statistical software such as R, SAS, Python, or MATLAB, along with experience in data management systems, is crucial. Strong problem-solving abilities, clear communication, and the capacity to work both independently and as part of interdisciplinary teams are highly valued soft skills. These qualities enable you to devise rigorous solutions to complex data challenges, effectively collaborate with colleagues, and translate findings for stakeholders.

How much does a PhD statistician make?

A PhD statistician typically earns between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles or positions in finance, technology, or research institutions may offer higher salaries, especially with specialized skills in statistical programming and data analysis tools.

What is a PhD statistics?

A PhD Statistics job typically involves conducting advanced statistical research, developing new methodologies, and applying statistical techniques to solve complex problems in various fields such as healthcare, finance, or technology. Professionals in these roles may work in academia, government, or industry, analyzing data, designing experiments, and publishing findings. They often collaborate with interdisciplinary teams to extract insights from large datasets and improve decision-making processes.

What can I do with a PhD in statistics?

A PhD in statistics qualifies individuals for advanced roles such as data scientist, quantitative analyst, biostatistician, or research scientist. These positions often involve data analysis, modeling, and interpretation using statistical software like R or Python, and may require strong research and communication skills. Graduates can work in industries such as healthcare, finance, technology, or academia.

What are popular job titles related to Phd Statistics jobs in Raleigh, NC?

For Phd Statistics jobs in Raleigh, NC, the most frequently searched job titles are:

What cities near Raleigh, NC are hiring for Phd Statistics jobs?

Cities near Raleigh, NC with the most Phd Statistics job openings:

Infographic showing various Phd Statistics job openings in Raleigh, NC as of July 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Principal Research Scientist - (Physics) AI Reviewer

micro1 AI

Durham, NC • Remote

$80 - $160/hr

Part-time

Posted 14 days ago


Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.