1

Postdoctoral In Bayesian Statistics Jobs in Minnesota

Researcher 5

Minneapolis, MN · On-site

$70.91K - $85.93K/yr

... postdoctoral trainee with aspirations to become an independent scientist in academia or industry ... Analyze, interpret, and present complex experimental data, including performing statistical ...

next page

Showing results 1-20

People also search for

Postdoctoral In Bayesian Statistics information

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 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 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 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 popular job titles related to Postdoctoral In Bayesian Statistics jobs in Minnesota? For Postdoctoral In Bayesian Statistics jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Bayesian Statistics jobs in Minnesota look for? The top searched job categories for Postdoctoral In Bayesian Statistics jobs in Minnesota are:
What cities in Minnesota are hiring for Postdoctoral In Bayesian Statistics jobs? Cities in Minnesota with the most Postdoctoral In Bayesian Statistics job openings:
Post-Doctoral Associate - Department of Integrative Biology and Physiology

Post-Doctoral Associate - Department of Integrative Biology and Physiology

University of Minnesota

Minneapolis, MN • On-site

$51.10K - $69.40K/yr

Full-time

Medical, Dental, Life

This job post has expired today. Applications are no longer accepted.


Job description

About the Job
 

The Duca Lab (https://med.umn.edu/bio/frank-duca) in the Department of Integrative Biology and Physiology at the University of Minnesota is seeking a highly motivated Postdoctoral Associate to join our team. Funded by NIH and USDA, this position offers an exciting opportunity to conduct cutting-edge multidisciplinary research that combines physiology, neuroscience, nutritional sciences, and microbiology. 
The Duca lab is extremely interested in how dietary and environmental exposures impact the development of obesity and diabetes. Specifically, using a variety of sophisticated in-vivo approaches, our lab examines how gut-brain signaling influence both energy and glucose homeostasis either via the peripheral nervous system or acting at the brain via circulating factors. We are extremely interested in how different dietary components, like fat, sugar, and fiber, impact metabolic homeostasis, and how the gut microbiome mediates these impacts. We study how probiotics, prebiotics, or metabolites produced from the gut microbiome affect host metabolism either directly at the intestine, or remotely at the peripheral nervous system, liver, or brain. Additionally, we examine how exposure to different environmental xenobiotics, like herbicides, pesticides, or antimicrobials impact the gut microbiome and subsequent host health. More recently, we have begun exploring how the gut-brain axis bidirectionally regulates development of certain cancers. 
Position Overview:
We are looking for a motivated and enthusiastic scientist that is interested in learning more about the gut-brain axis and metabolic disease. In this role, you will have the opportunity to work on several exciting projects examining the impact of the gut microbiome on gut-brain signaling pathways, and learn sophisticated surgical techniques and in-vivo techniques for mice and rats, like vascular and intestinal cannulations, ganglia injections, glucose clamps, and use of Sable Promethion indirect calorimetry system. The Duca Lab is a very collaborative group and you will have opportunities to mentor undergraduate and graduate students. Previous experience in metabolic disease, neuroscience, or gut microbiome research is preferred. The majority of work will be in-vivo in rodent models, therefore experience with rodent surgery is preferred, especially stereotaxic or vascular cannulation.
Potential projects include but are not limited to: effect of bacterially derived metabolites on peripheral nervous system and CNS function, better understanding gut vagal sensory pathways, studying the impact of dietary fiber on enteroendocrine cell function and signaling, impact of diet and gut microbiome on success of GLP-1R agonists, and role of gut-brain axis in intestinal cancers.
Responsibilities Include:
Research- 90%
Conduct animal (rat and mouse) handling, husbandry, breeding, colony maintenance, behavioral testing, including, but not limited to metabolic phenotyping, body composition, food intake and preference measurements, glucose clamps, glucose tolerance tests, and cognitive and anxiety/addiction potency testing.
Assist with and eventually independently perform various survival surgeries: vascular surgery, intestinal cannulations, stereotaxic surgery, and nodose and dorsal root ganglia injections.
Chemogenetic and optogenetic studies
Inject various compounds and solutions into experimental animals.
Collect tissue and fluid samples (e.g., body fat, brain tissue, blood) from experimental animals; store and analyze the tissue (e.g., ESLISA kits, PCR, immunohistochemistry, RNAscope).
Potential multi-omic bioinformatic analyses: gut microbiome, RNAseq, scRNAseq, and metabolomics 
Keep meticulously detailed records of all experiments and procedures in a laboratory notebook; perform statistical analyses of data obtained from experiments and render interpretations of the data.
Mentoring - 10%
Mentor undergraduate and graduate students to help with various projects.
Instruct students, fellows and other inexperienced professional persons in proper laboratory methods and procedures.
Writing and Presenting - 10%
Present research summary in national and international meetings in oral and poster format by preparing abstracts and slides for presentation.
Write manuscripts
Apply for postdoctoral fellowships or external grants under the guidance of PI.

Qualifications
 

Required Qualifications:
A Doctorate Degree (PhD, which is completed within the last 3 years) in relevant scientific fields (neuroscience, physiology, nutrition, or related field)
Previous lab experience
Knowledge of the basic principles of biological science is required to assess observations, prepare specimens, run a variety of behavioral and biological assays, interpret the results of standardized tests, etc.
Sufficient knowledge of the physiology of rats and mice is necessary in order to induce anesthesia, perform surgeries, and collect tissue and/or fluid samples
Must possess or be able to readily obtain certification to perform animal studies and procedures
Sufficient knowledge of mathematics and statistics is required to analyze and interpret test results.
Knowledge and skill sufficient to maintain and operate standard instruments (fluorescence microscopes, pH meters, etc).
Preferred Qualifications:
Specific research experience in: metabolic disease and metabolism, neuroscience, gastrointestinal tract and gut microbiome
Prior survival surgical experience with rodents, like stereotaxic or vascular catheterization
Neuroscience techniques related to gut-brain axis: patch clamp, two photon microscopy, etc
Experience in histological techniques like immunohistochemistry and FISH (RNAScope)
Bioinformatic experience for RNAseq or gut microbiome analyses
Experience with manuscript and grant writing is a plus.

About the Department
 

The Department of Integrative Biology and Physiology's research centers on integrative systems biology of the heart and vasculature, including the close linkages among cardiovascular diseases and obesity, diabetes and metabolism at the whole animal level. The department is ideally positioned to bridge basic science discoveries to clinically relevant applications, spanning from academia to our neighbors in the biomedical industry.
 

Pay and Benefits
 

Pay Range: $63,480 - $69,180 annually; depending on education/qualifications/experience

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training
  • Medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and life insurance
  • Employee wellbeing program
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of Americas Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).