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Phd In Statistics Jobs in Pennsylvania (NOW HIRING)

Lead Data Scientist

Chadds Ford, PA · On-site +1

$144K - $250K/yr

Master's Degree or PhD in Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, or other quantitative fields * Advanced machine learning modeling and/or technical expertise ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Showing results 21-40

Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. 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 can you do with a 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 to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

What are popular job titles related to Phd In Statistics jobs in Pennsylvania?

For Phd In Statistics jobs in Pennsylvania, the most frequently searched job titles are:

Infographic showing various Phd In Statistics job openings in Pennsylvania as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Faculty.Professor.Associate - Full-Time

University of Pittsburgh

Pittsburgh, PA

Full-time

Re-posted 3 days ago


Job description

Statistician / Biostatistician (Psychiatry Research)

University of Pittsburgh, Department of Psychiatry

Pittsburgh, United States

Job description

A full-time Associate Professor position within the appointment stream is available within the Department of Psychiatry at the University of Pittsburgh for a statistics/biostatistics researcher with a wide range of statistical expertise.

The successful candidate will have an interest in:

Engaging in statistical collaborations with both clinical and basic science investigators who direct internationally recognized research programs in multiple domains of psychiatry. 

Primary selection criteria are a history of productivity and collaboration, as well as the ability to enhance an interactive and dynamic research community within and across departments in the greater Pittsburgh academic environment. Collaborative scientific work requires a mix of organizational, interpersonal, and scholarly skills, and successful candidates will be proficient in all these aspects.

The successful candidate will be provided with resources and support to develop their career. They will join a vibrant and highly collaborative research community with a long history of excellence in basic, translational, and clinical research.

Our Department welcomes applicants from a wide range of backgrounds and experiences. We aim to create a respectful and supportive environment for all who work here.

Qualifications:

  • PhD in Statistics, Biostatistics, or related areas such as Quantitative Psychology, Statistical Genetics, and Bioinformatics.
  • Demonstrated interest in research, e.g., as shown through both individual and collaborative peer-reviewed publications, including original research and review articles. The quality of the journals themselves and the position of authorship will be considered.
  • Success in developing and submitting collaborative grant applications to external funding sources. Funding from the National Institutes of Health (NIH) is a priority in our Department.
  • Demonstrated research and collaborative skills.
  • Strong organizational skills, given the demands of working with multiple investigators.
  • Flexibility and the ability to work in a rapidly changing/growing educational institution.
  • Experience in collaborative research that reflects the ability to work on multiple projects with multiple collaborators at the same time and with tight deadlines.
  • Experience in developing tutorial and consultation resources that enhance the ability of collaborators to analyze data and to write effective manuscripts and funding applications, e.g., primers on statistical topics and new methods relevant to specific areas of scientific work.
  • Experience in a supervisory role, e.g., supervision of masters-level statisticians (preferred but not required).

Job Responsibilities:

         Collaborate with clinical and research investigators on study design, analysis, and interpretation of psychiatric research.

         Publish collaborative and methodological research in peerreviewed journals and present findings at scientific meetings.

         Contribute to teaching, mentoring, and service activities consistent with rank and departmental needs.

About the employer

At the University of Pittsburgh Department of Psychiatry, we excel in our mission to:

  • provide superb behavioral health services to our patients and their families;
  • pursue the development of better diagnostic techniques and therapeutic interventions through innovative research;
  • provide a stimulating learning environment for medical and graduate students, residents, psychology interns, and postdoctoral fellows.

Our success in each of these areas depends on an interactive community of clinicians, scientists, and educators who bring a range of backgrounds, experiences, expertise, and perspectives to our mission.

An essential partner in this work is UPMC Western Psychiatric Hospital, a national leader in innovative treatment of mental health and addiction disorders. Moreover, Pitt Psychiatry's preeminent academic faculty of more than 200 members trained in multiple basic and clinical science disciplines is at the heart of our success in providing superior behavioral health care and in training the next generation of innovative researchers and clinicians.

Areas of Research

         Statistics

         Biostatistics

         Psychology

         Psychiatry

         Neuroscience

         Clinical Biomarkers

How to Apply

Please apply by going to our job site (https://cfopitt.taleo.net/careersection/pitt_faculty_external/jobsearch.ftl), searching job code 26003322 in the keyword search, and submitting your materials through our Pitt system.