1

Bayesian Phd Jobs in Kansas (NOW HIRING)

Bayesian Phd information

What is a Bayesian PhD?

A Bayesian PhD typically refers to an individual who has completed a doctoral program with a focus on Bayesian statistics or Bayesian methods in their research. Bayesian statistics is a branch of statistics that uses probability distributions to represent uncertainty about unknowns, updating beliefs as new data becomes available. Students in this field learn to develop and apply Bayesian models to a wide range of problems in science, engineering, and social sciences. A PhD program with a Bayesian focus often involves advanced coursework in probability theory, statistical inference, and computational methods, as well as original research using Bayesian approaches.

What are the key skills and qualifications needed to thrive as a Bayesian PhD?

To thrive as a Bayesian PhD, you need advanced knowledge of probability theory, statistical inference, and mathematics, typically supported by a doctoral degree in statistics, mathematics, or a related field. Proficiency with statistical programming languages like R, Python, and specialized Bayesian tools such as Stan or BUGS is essential. Strong critical thinking, problem-solving, and clear communication skills help in articulating complex analyses and collaborating across disciplines. These capabilities are crucial for developing rigorous models, conducting impactful research, and translating statistical insights into actionable solutions.

What are some common challenges faced by a Bayesian PhD researcher during collaborative projects?

Bayesian PhD researchers often collaborate with interdisciplinary teams, which can present challenges such as communicating complex statistical concepts to non-specialists and integrating Bayesian methods with other analytical frameworks. Balancing the depth of theoretical work with practical problem-solving, managing computational demands, and aligning project goals with collaborators' expectations are also common hurdles. Successful collaboration typically requires strong communication skills, adaptability, and a willingness to bridge methodological gaps between disciplines.

What is the difference between Bayesian Phd vs Data Scientist?

AspectBayesian PhdData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, academic or specialized industry rolesBusiness-focused, tech companies, or consulting firms
Industry UsageAcademic research, advanced analytics, specialized modelingData analysis, machine learning, business insights
Common Search/ComparisonYesYes

While a Bayesian PhD specializes in advanced statistical modeling and research, a Data Scientist applies data analysis and machine learning techniques in practical business contexts. Both roles require strong analytical skills, but the Bayesian PhD typically focuses on theoretical development, whereas the Data Scientist emphasizes application and implementation.

What are popular job titles related to Bayesian Phd jobs in Kansas?

For Bayesian Phd jobs in Kansas, the most frequently searched job titles are:

Assistant/Associate Professor - Biostatistics & Data Science (AI Focus)

Kansas City, KS • On-site

University of Kansas Medical Center
Colleges, Universities, and Professional Schools • 11 - 50 employees

$110 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Department: SOM Department of Biostatistics ----- Faculty Position Title: Assistant/Associate Professor - Biostatistics & Data Science (AI Focus) Job Family Group: Academic

Job Description Summary

The Department of Biostatistics & Data Science at the University of Kansas Medical Center (KUMC) is partnering with The University of Kansas Cancer Center (KUCC) to invite applications for a tenure-track faculty position in Statistical Artificial Intelligence (AI) and Biomedical Data Science. The incumbent will establish and maintain external funding while collaborating with investigators across KUMC's nationally recognized research centers and institutes. The incumbent will join a collaborative department with internationally recognized expertise in biostatistics, statistical omics, bioinformatics, Bayesian methodology, clinical trials, and data science, and will have opportunities to collaborate with investigators across the University of Kansas Cancer Center, Kansas Institute for Precision Medicine, Frontiers Clinical and Translational Science Institute, the Alzheimer's Disease Research Center and the newly established Enhanced Artificial Intelligence Center for Human-Focused Research. In addition to developing an innovative research program, the faculty member will contribute to the Department's educational mission through excellence in teaching and mentoring graduate students in biostatistics, data science, and related disciplines.

Job Duties
  • Develop and maintain external funding in statistical artificial intelligence and biomedical data science.
  • Develop novel statistical and AI methodologies motivated by important biomedical problems.
  • Collaborate with KUCC investigators, as well as investigators across KUMC’s research centers and institutes.
  • Teach graduate courses in biostatistics, statistics, artificial intelligence, machine learning, and data science.
  • Participate in the mentoring of graduate students, postdoctoral fellows, and staff.
  • Participate in departmental, institutional, and professional service activities.
  • Contribute to strategic initiatives involving the Enhanced Artificial Intelligence Center for Human-Focused Research and other interdisciplinary programs across KUMC.

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: PhD in Biomedical Informatics, Computer Science, Biostatistics, Statistics, Data Science, or related field. 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 artificial intelligence, machine learning, or statistical learning.
  • Experience developing or applying statistically principled AI methodologies.
  • Experience with interdisciplinary collaboration in biomedical research.
Preferred QualificationsWork Experience
  • Teaching experience in statistics, biostatistics, machine learning, artificial intelligence, or data science.
  • Research collaboration experience in cancer, obesity/ metabolic disease, or precision medicine.
  • Experience with one or more of the following: medical image analysis, computational pathology, multi-omics integration, electronic health record analysis, Spatial 'omics, Reinforcement learning for healthcare, explainable AI, machine/deep learning, Bayesian machine learning, or causal AI.
Skills

Communication skills Required Documents Resume/CV Cover Letter

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.

Employee Type: Regular Time Type: Full time

Mission

The mission of the University of Kansas Medical Center is to improve lives and communities in Kansas and beyond through innovation in education, research, and health care.

Equal Opportunity

The University of Kansas Medical Center is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, gender expression, national origin, ethnicity, ancestry, age, protected veteran or disability status, marital status, parental status, or genetic information.

http://policy.ku.edu/IOA/nondiscrimination https://kumc-publicpoliciesandprocedures.policystat.com/policy/8446235/latest/ Under Kansas state law, certain KUMC positions are subject to disability preference. For positions subject to this requirement, KUMC will offer an interview to a person who has applied for an open position who is qualified, with or without reasonable accommodation, to meet the performance standards of the position and who has presented acceptable proof of disability. If the position you apply for is subject to the disability preference requirement, you will be asked to provide information in support of your request for disability preference when you complete the application for employment.

https://civilrights.ku.edu/annual-security-and-fire-safety-report https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf https://www.laborposters.org/federal/1606-federal-pay-transparency-poster.htm

#J-18808-Ljbffr