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Phd In Statistics Jobs in Kansas (NOW HIRING)

Genentech

Expert Imaging Lead, CVRM

Bern, KS

... Statistical Science, Biomarker Development, and others * Asset Teams, including Lifecycle Lead ... You hold a PhD, MD, or equivalent in Radiology, Imaging Science, AI/ML, or a related discipline ...

Pfizer

Sr. Manager, Validations

Mcpherson, KS

... statistical analyses of testing results and process anomalies, and writing, reviewing, approving ... OR a PHD with 1+ years of experience. * Strong technical expertise in GMP validation and ...

Pfizer, Inc.

Sr. Manager, Validations

Mcpherson, KS · On-site

... statistical analyses of testing results and process anomalies, and writing, reviewing, approving ... OR a PHD with 1+ years of experience. * Strong technical expertise in GMP validation and ...

Cybercoders

Data Scientist

Leawood, KS

Bachelors or Masters degree in Computer Science, Data Science, Statistics, Engineering, or a related field; PhD preferred but not required. * 3+ years experience in applied machine learning, data ...

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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.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and consulting 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 modeling, programming, and data management. The degree also enables careers in academia and research institutions, often requiring proficiency in tools like R, Python, or SAS.

How much can you make with a PhD in statistics?

A PhD in statistics typically leads to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries often ranging from $90,000 to over $150,000 annually depending on experience, industry, and location. Advanced skills in programming, statistical software, and data analysis increase earning potential in this field.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, 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.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling, but it does not replace the need for expert statistical judgment, interpretation, and domain knowledge. Statisticians are increasingly using AI tools and programming languages like R or Python to enhance their work, making their skills still essential in designing studies and ensuring data quality.
What are popular job titles related to Phd In Statistics jobs in Kansas? For Phd In Statistics jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Phd In Statistics jobs in Kansas look for? The top searched job categories for Phd In Statistics jobs in Kansas are:
Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Kansas as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.
Assistant Professor - Internal Medicine (Nephrology and Hypertension)

Assistant Professor - Internal Medicine (Nephrology and Hypertension)

University of Kansas Medical Center

Kansas City, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Department:
SOM KC Internal Medicine - Nephrology and Hypertension
Medicine - Nephrology and HypertensionPosition Title:
Assistant Professor - Internal Medicine (Nephrology and Hypertension)Job Family Group:
Academic, Professional StaffJob Description Summary:
The Assistant Professor in the Division of Nephrology and Hypertension within the Department of Internal Medicine at the University of Kansas Medical Center will also serve as the Assistant Director of the Evidence-Based Practice, Outcomes & Impact Center (EPIC). This position provides leadership in the design, analysis, and reporting of health services evaluation projects, including defining project scope, identifying resources, establishing timelines, and producing summary reports.
The Assistant Professor expands EPIC's research portfolio by partnering with existing collaborators and pursuing new research and contract opportunities, including those offered by the Agency for Healthcare Research and Quality (AHRQ). The role also serves as a co-investigator and project manager for studies focused on practice patterns, healthcare utilization, cost-effectiveness, and variations in clinical practice across the health system. In addition, the Assistant Professor coordinates multidisciplinary teams, contributes health services research expertise to institutional and interinstitutional projects, and participates in the education and training of learners within the Department of Internal Medicine.Job Description:
Job Description
  • Conduct systematic reviews and meta-analyses of the published literature (evidence reports or technology assessment reports) under the supervision of the Principal Investigator. Responsibilities include drafting protocols, screening and appraising studies, extracting and analyzing data, and preparing results reports or manuscripts.
  • Lead a team of researchers conducting systematic reviews by monitoring progress, providing feedback, and developing systems to triage, prioritize, and track project activities.
  • Review and respond to Request for Applications and write grant proposals.
  • Produce relevant, timely, and actionable evidence synthesis products for different clinical, public health and health services topics with experience presenting in formats tailored to different audiences.
  • Train, educate and mentor graduate/doctoral students and postdoctoral fellows through research engagement and formal and informal teaching activities.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.
Required Qualifications
Education: MD or PhD in Clinical Epidemiology, Public Health, Health Economics, Health Research Methodology, or a related discipline, or equivalent degree.
  • This position requires a formal degree in the cited discipline area(s) to ensure that candidates have the foundational knowledge and skill set required to perform the duties of the position. The level of degree is based on accreditation requirements, institutional standards of academic and professional excellence, alignment with peer institution benchmarks, and contributes to the credibility and effectiveness of the role within the university community.

Work Experience:
  • Experience with the collection, analysis, and interpretation of quantitative data.
  • Experience with statistical software such as SAS, STATA, MPlus, HLM6 or SPSS.
  • Research experience in evidence synthesis and methodology
  • Experience managing several ongoing projects and coordinate research efforts.
  • A record of successful program of research and extramural grant funding as demonstrated by application materials.

Preferred Qualifications
Work Experience:
  • Expertise in systematic review methodology and guideline development as demonstrated by application materials.
  • Five (5) years of experience in conducting systematic reviews and evidence synthesis work.
  • Experience preparing manuscripts for peer-reviewed publication and/or presentations for local, national or international conferences.

Skills
  • Interpersonal skills
  • Project management
  • Communication
  • Problem-solving
  • Time management
  • Multitasking
  • Computer skills

If selected as a final candidate for this position, you may be required to complete the Association of American of Universities Representations and Warranties document and sign a release of records that will allow the University of Kansas Medical Center to conduct a further background check with former employers. A copy of the Representations and Warranties document can be found here.
Comprehensive Benefits Package:
Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html
Employee Type:
RegularTime Type:
Full time

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