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Phd Statistics Jobs in Raleigh, NC (NOW HIRING)

A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.

PhD in Statistics or a related quantitative field with at least 4 years post-degree experience or MS/MSc in Statistics (or related quantitative field) with 7+ years of clinical development experience

A Masters' degree in Statistics or Biostatistics specialty is preferred. * PhD with experience in research is a strong asset. * Experience in the industry, or in an academic setting is preferred.

Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters or PhD preferred. * 5-7 years of experience in the application of medical statistics ...

PhD or Master's in statistics or related area, or equivalent degree globally Experience * PhD + 7-10 years (or MS + 10 years) experience in pharmaceutical, CRO, or related environment. Skills ...

Collaborate with epidemiologists to define specifications for descriptive and complex statistics (e ... PhD with 3 years relevant experience required * Strong experience with patient-reported outcomes ...

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Phd Statistics information

See Raleigh, NC salary details

$22.7K

$89.8K

$166.3K

How much do phd statistics jobs pay per year?

As of Jun 12, 2026, the average yearly pay for phd statistics in Raleigh, NC is $89,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,745.00 and $117,439.00 per year, depending on experience, location, and employer.

What can I do with PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

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.

How much do PhD statisticians make?

PhD statisticians typically earn between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles or those in specialized fields such as data science or research can offer higher salaries, often exceeding $150,000.

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 the Phd Statistics position, and why are they important?

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.

Are statisticians highly paid?

Statisticians with a PhD often earn higher salaries compared to those with lower degrees, with median annual wages typically exceeding national averages for related fields. Their compensation depends on experience, industry, and location, and advanced skills in data analysis and statistical software can lead to higher-paying opportunities.

What is a PhD Statistics job?

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 job categories do people searching Phd Statistics jobs in Raleigh, NC look for? The top searched job categories for Phd Statistics jobs in Raleigh, NC 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 June 2026, with employment types broken down into 11% Internship, 62% Full Time, 11% Part Time, and 16% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $89,770 per year, or $43.2 per hour.
Principal Statistician, (Safety Statistics), Raleigh, NC

Principal Statistician, (Safety Statistics), Raleigh, NC

UCB

Raleigh, NC

Other

Posted 7 days ago


Job description

Make your mark for patients

We are looking for a Principal Statistician who is collaborative, influential, and innovation-minded to join us in our Biometrics and Data Science team, based in our Raleigh, NC, Slough, UK, Brussels, Belgium or Monheim, Germany.

This is a hybrid position and requires employees to be in the office 40% of the time. This is not a remote role.

About the role

In this global role, you'll be a key contributor to one or more compounds for SafetyStatistics, reporting to a (Senior) Project Lead Statistician. You will help shape development strategy and drive the direction for quantitative analytics, innovation, and reportingwith a focus onsafety outcomes, while ensuring quality-by-design andfirst time-right delivery of Biometrics and Data Science deliverables across programs.

What you'll do

  • Provide statistical leadership at indication/compound level across development stages
  • Translate strategy into tactical plans, operations, and quality delivery
  • Partner with leaders on development and regulatory strategy and design
  • Be accountable for biometrics deliverables supporting project decision making
  • Drive continuous improvement and transformation of the statistics operating model
  • Represent Biometrics/Statistics internally and externally to enhance reputation

Who you'll work with

  • Biometrics and Data Science colleagues across statistics and programming
  • Cross-functionalindication (orcompound)teams across Development and Regulatory
  • Statistical Innovation partners to bring modern analytics and digital solutions
  • Internal and external stakeholders, including health authorities as needed

Interested? For this role we're looking for the following education, experience and skills

Minimum Qualifications

  • Master's degree.
  • Minimum of 6 years pharma industry experience (4 years with PhD).

Preferred Qualifications

  • PhD (preferred) in Statistics/Biostatistics (or equivalent)
  • Clinical trial design, analysis, and reporting experience in relevant phases
  • Experience withpreparingregulatory submissions
  • Proficient in statistical programming (e.g., SAS or R) and simulation tools
  • Strong stakeholder skills; explain complex quantitative concepts to non-experts
  • Knowledge of CDISC standards (SDTM/ADaM); submission experience

Internal applicants should be in their current job for at least 12 months, must meet performance standards and are not on formal corrective/disciplinary process (PIP), warning, final warning, or compliance warning letters within the last 12 months. Please inform your Manager or your Talent Partner before applying to any internal job opportunities.

Unlessexplicitlystated in the description, this role is hybrid with 40% of your time spent in the office,regardlessof your current contractual agreement. If your current working arrangements differ, please contact your Talent Partner to discuss before submitting your application.

UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations.


Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.

Requisition ID:93033

Recruiter:Kelly Dickinson

Hiring Manager:Katy White

Talent Partner:Natacha Tassier

Job Level:MM II

Please consult HRAnswers for more information on job levels.

Employment Type: OTHER