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Postdoctoral In Bayesian Statistics Jobs in Indiana

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN

$45K - $61K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type ... in R, SASS, and/or Python, Bayesian computing, statistical modeling, and clinical data analysis ...

Indiana University

Postdoctoral Fellowship

Bloomington, IN · On-site

$60K/yr

We are particularly interested in candidates with disciplinary homes in Geography, Psychological ... The Annual Security and Fire Safety Report, containing policy statements, crime and fire statistics ...

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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.
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Postdoctoral In Bayesian Statistics jobs near you

Postdoctoral Fellows

Jobs for Humanity

Bloomington, IN

$45K - $61K/yr

Full-time

Re-posted 29 days ago

Job description

Company Description
Jobs for Humanity is collaborating with Upwardly Global and with Indiana University to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: Indiana University
Job Description

Title: Postdoctoral Fellow in Biostatistics and Health Data Science
Specific Title Appointment Type: Postdoctoral Fellow
Department: IUSM - Biostatistics
Campus: IU School of Medicine Indianapolis
Position Summary: We are seeking multiple highly motivated Postdoctoral Fellows interested in developing and implementing novel Bayesian adaptive designs for oncology clinical trials. The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian computing, statistical modeling, and clinical data analysis methods development. Prior knowledge with clinical trial development is a plus. The fellows will work with an interdisciplinary team spanning multiple departments, centers, and institutes with a common goal of creating and evaluating novel statistical designs in clinical research. The selected candidate will have the opportunity to learn and develop new statistical methods and designs in clinical research, write and co-author manuscripts for high-quality peer-reviewed journals, and co-submit grant proposals to secure external funding. In addition, this position will have many opportunities to collaborate with other interesting relevant projects within the Indiana University School of Medicine and MD Anderson Cancer Center. IUSM is committed to being an institution that reflects the learners we teach and the patient populations we serve and pursues the values of equity and inclusion that inform academic excellence. We desire candidates whose work contributes to equitable and inclusive learning and working environments for our learners, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.
Basic Qualifications: The minimum qualifications for a successful candidate include: Completed PhD in biostatistics, statistics, computer science, or a related discipline. Strong skills in statistical model development and implementation. Prior knowledge in clinical trial research is a plus. Strong programming skills in R, SASS, and/or Python, experience with Bayesian computing software.
Department for Questions: Yong Zang zangyiu
Additional Qualifications:
Special Instructions:
Priority Application Review Deadline:
Expected Start Date:
OAA #IUSM-01797-2023
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