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Postdoctoral In Bayesian Statistics Jobs in Michigan

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

... in experimental methodologies, statistics, prompt engineering, and coding for tool building and ... Bayesian analysis, and deep learning methods, alongside prompt engineering, retrieval-augmented ...

... postdoctoral fellows to drive a project from conception through publication, integrating in vivo ... Analyze and interpret data using appropriate computational/statistical approaches; maintain ...

... Postdoctoral Fellow in Computational Biology. This is a limited-term position with an initial ... statistical analysis * Lead the design and execution of computational analyses for a primary ...

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Postdoctoral In Bayesian Statistics information

What is a Postdoctoral position in Bayesian Statistics?

A Postdoctoral position in Bayesian Statistics is a research-focused role for individuals who have recently completed their PhD in statistics, mathematics, or a related field. These positions involve conducting advanced research using Bayesian methods, which apply probability to infer statistical conclusions. Postdocs often work on developing new Bayesian models, collaborating on interdisciplinary projects, and publishing research findings. Such positions are typically temporary and designed to further prepare researchers for academic, industry, or governmental roles.

What are some common challenges faced by postdoctoral researchers in Bayesian statistics, and how can they be addressed?

Postdoctoral researchers in Bayesian statistics often encounter challenges such as managing complex, high-dimensional data, staying current with rapidly evolving computational methods, and balancing independent research with collaborative projects. Effective strategies include leveraging open-source statistical software, actively participating in seminars and workshops to stay updated, and establishing regular communication with interdisciplinary teams. Building a strong professional network and seeking mentorship within the department can also help in navigating research obstacles and advancing one's career.

What is the difference between Postdoctoral In Bayesian Statistics vs Postdoctoral In Data Science?

AspectPostdoctoral In Bayesian StatisticsPostdoctoral In Data Science
Required CredentialsPhD in Statistics, Mathematics, or related fieldPhD in Computer Science, Statistics, or related field
Work EnvironmentAcademic research, university labsResearch institutions, tech companies, industry labs
Employer & Industry UsageUniversities, research institutesTech firms, finance, healthcare, consulting
Common Search & Comparison IntentSpecialized research roles in Bayesian methodsBroader data analysis and machine learning roles

Postdoctoral In Bayesian Statistics focuses on advanced research in Bayesian methods within academic settings, requiring deep statistical expertise. In contrast, Postdoctoral In Data Science covers a broader range of data analysis techniques, including machine learning, often in industry environments. Both roles require a PhD but differ in application focus and work environment.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Statistics, and why are they important?

To thrive as a Postdoctoral Researcher in Bayesian Statistics, you need an advanced degree (typically a PhD) in statistics or a related field, with strong expertise in Bayesian inference and probabilistic modeling. Proficiency with statistical programming languages such as R, Python, or Stan, and experience with specialized Bayesian analysis software are highly valued. Excellent problem-solving skills, collaboration, and the ability to communicate complex statistical concepts clearly are standout soft skills for this role. These skills and qualities are crucial for conducting rigorous research, publishing impactful results, and contributing effectively to scientific teams.
What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Michigan look for? The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Michigan are:
Infographic showing various Postdoctoral In Bayesian Statistics job openings in Michigan as of June 2026, with employment types broken down into 29% Locum Tenens, 14% Internship, 14% Full Time, and 43% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
Research Assistant - Department of Oncology

Research Assistant - Department of Oncology

Wayne State University

Detroit, MI • On-site

$19 - $26.25/hr

Full-time

Posted 19 days ago


Wayne State University rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

248th of 544 rated colleges and universities


Job description

Research Assistant - Department of Oncology
Wayne State University is searching for an experienced Research Assistant - Department of Oncology at its Detroit campus location.
Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.
Essential functions (job duties):
Perform laboratory based scientific techniques or clinical/population science (human subjects) research. Design and perform experiments, recruit participants for studies by developing surveys and interviewing candidates. Participate in implementing research objectives, ensuring compliance with all legal, regulatory and protocol guidelines. Assist staff with experiments/research protocols as required. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research.
Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated. Proofread and edit research data and documents to ensure accuracy.
Assist principal investigator with writing methods and summarizing/organizing data to be used in preparing and presenting presentations for professional, scientific and academic conferences and submittal to academic and scholarly peer-reviewed journals.
Maintain the laboratory work areas including routine maintenance on laboratory equipment as required. Order and organize required research supplies and records. Maintain cleanliness and organization of work station.
Perform other related duties as assigned.
Unique duties:
Perform statistical and/or bioinformatics analysis and prepare reports based on plans devised by faculty members. - Assist in preparing manuscripts and abstracts, as well as proofreading accepted manuscripts prior to publication. - Stay up-to-date with statistical/bioinformatics and programming methodologies relevant to cancer research. - Implement assignments with excellence and work collaboratively with staff and faculty. - Compile information from clinical studies and report to ClinicalTrials.gov. - If required, participate in biostatistics/ bioinformatics educational activities related to cancer research for investigators, fellows, residents, and graduate students.
Qualifications:
Education: Bachelor's degree
Bachelor'sdegree in a related field of study, preferred. Requires advanced knowledge predominantlyintellectual in character in a field of science or learning acquired by aprolonged course of specialized intellectual instruction.
Experience: Entry level (less that a year of job-related experience)
Experience performing basic research techniques or interacting with humansubjects, preferred.
Knowledge,Skills and Abilities:
Abilityto work independently. Ability toanalyze, summarize and interpret research findings and data in reports and spreadsheetsand communicate results. Knowledgeof scientific integrity principles. Excellent timemanagement and organization skills. Excellent interpersonal and communication skills anddemonstrated ability to work with others in a collaborative environment. Microsoft office software skills.
Preferred qualifications:
- Master's degree in Biostatistics, Statistics, Biomedical Informatics, Artificial Intelligence, Machine learning, or closely related discipline preferred. - At least 2 years of work experience with R programming, demonstrating excellent proficiency. Any work experience gained during the completion of an MS/PhD degree will be considered as part of this requirement. Statistical and/or bioinformatics work experience in collaborative medical research highly desirable.The candidate must be able to support cancer research across a wide range of biostatistical/bioinformatics domains, provide methodological guidance as needed, and assist with requests received through the Core. A strong desire to learn new statistical/bioinformatics methods is highly expected, given the evolving analytical needs of cancer research. Experience with causal inference, particularly using structural equation modeling, is considered a plus.
School/College/Division:
H06 - School of Medicine
Primary department:
H0632 - Oncology
Employment type:
  • Regular Employee
  • Job type: Full Time
  • Job category: Research
Funding/salary information:
  • Compensation type: Annual Salary
  • Hourly rate:
  • Salary minimum:
  • Salary hire maximum:
Working conditions:
Typical work environment may include a laboratory and/ or office environment. May require working non-standard business hours including evenings and weekends. May be required to travel to scientific conferences.
Job openings:
  • Number of openings: 1
  • Reposted position: No
  • Reposted reason: None (New Requisition)
  • Prior posting/requisition number:
Background check requirements:
University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.

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