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Postdoctoral In Bayesian Statistics Jobs in Glendale, AZ

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

... Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the ... Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum ...

Showing results 21-40

Postdoctoral In Bayesian Statistics information

See Glendale, AZ salary details

$24.9K

$58.7K

$83K

How much do postdoctoral in bayesian statistics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for postdoctoral in bayesian statistics in Glendale, AZ is $58,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,700.00 and $66,100.00 per year, depending on experience, location, and employer.

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?

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 cities near Glendale, AZ are hiring for Postdoctoral In Bayesian Statistics jobs?

Cities near Glendale, AZ with the most Postdoctoral In Bayesian Statistics job openings:

Infographic showing various Postdoctoral In Bayesian Statistics job openings in Glendale, AZ as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $58,692 per year, or $28.2 per hour.

Postdoctoral Research Associate, Department of Child Health (College of Medicine - Phoenix)

University of Arizona

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 22 days ago


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Company rating: 7.3 out of 10

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Job description

Postdoctoral Research Associate, Department of Child Health (College of Medicine - Phoenix)
Posting Number
req26234
Department
COM Phx Child Health
Department Website Link
https://phoenixmed.arizona.edu/
Location
Greater Phoenix Area
Address
Phoenix, AZ USA
Position Highlights
The Department of Child Health at the University of Arizona College of Medicine-Phoenix is looking for a Postdoctoral Research Associate to join the Pulmonary Hypertension laboratory of Dr. Laszlo Farkas. The lab studies the molecular and immunological mechanisms underlying pulmonary arterial hypertension (PAH), with a particular focus on the role of endosomal dysfunction (deficiency in the GTPase RAB7) and its protein interaction partners, including CSDE1, in regulating pulmonary vascular remodeling and immune responses. Using mouse and rat models of pulmonary vascular disease and human cell-based systems, this research investigates how RAB7 deficiency via the RNA binding protein CSDE1 contributes to pulmonary vascular dysfunction, inflammatory signaling, and disease progression. The candidate will be mentored in career development toward independent research and training to become a principle investigator. Enthusiastic applicants with PhD, MD, or PhD/MD degree with expertise in cardiovascular and pulmonary biology and experience in molecular and cellular biology techniques are encouraged to apply.
This position is eligible for visa sponsorship.
Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and cultural activities; and more! The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here.
Duties & Responsibilities
  • Perform independent research experiments under the direction of the Principal Investigator.
  • Design, implement, and manage independent and collaborative research projects focused on the molecular and immunological mechanisms of pulmonary hypertension.
  • Conduct in vivo studies, including mouse handling, chronic hypoxia/SU5416 exposure protocols, physiological assessments, and tissue harvesting.
  • Perform in vitro experiments using endothelial, smooth muscle cell, fibroblast and immune cell models, including gene knockdown, proliferation (BrdU), migration, and angiogenesis assays.
  • Analyze and interpret experimental data, including high-throughput datasets such as bulk and single-cell RNA sequencing, proteomics (proximity-based biotinylation, secretomics).
  • Investigate inflammatory and immune signaling pathways, including interferon-regulated gene expression and immune cell dynamics.
  • Maintain mouse colonies.
  • Analyze research data and statistics.
  • Laboratory record keeping and general laboratory activities.
  • Participate in the acquisition of research funding by initiating and writing grant proposals.
  • Participate or author articles in peer-reviewed journals, books or chapter publications.
  • Participate or present at meetings and research conferences.
  • May co-author and may co-present results with principal investigators at meetings or conferences.

Assist with laboratory management including:
  • Maintain and service laboratory equipment.
  • Laboratory purchases and budgeting.
  • Manage biosafety requirements.
  • Organize laboratory and implement procedures.
  • Coordinate with building/facilities management, gas delivery, and other key research infrastructure.

Knowledge, Skills, and Abilities:
  • Knowledge of coordinating experiments, and completing analysis, statistics, and interpretation. A strong team player.
  • Ability to communicate in a clear, concise manner orally and in writing.
  • Ability to participate at scientific conferences and present findings.
  • Knowledge of grant writing and manuscript preparation.
  • Demonstrated ability to independently develop reports and manuscripts and present findings in tabular, oral, written, and/or graphic formats.

Minimum Qualifications
  • PhD, MD or PhD/MD in Biological Sciences, Medicine, or relevant field of study.

Preferred Qualifications
    Experience with AI models.
  • Experience with bioinformatic methods including Omics analysis, flow cytometry, cell sorting, cell culture, and confocal microscopy.
  • Experience working with mice colonies and mouse and rat models of disease. Experience with in vivo assessment and analysis of cardiopulmonary physiology.

FLSA
Exempt
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Job FTE
1.0
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
NIH salary guidelines, Depends on Experience
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
1
Target Hire Date
Expected End Date
Contact Information for Candidates
Office of Human Resources, Talent Acquisition
talent@arizona.edu
Open Date
6/9/2026
Open Until Filled
Yes
Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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