Remote Postdoc: Alzheimer’s Research & Bayesian Modeling

The University of Tennessee Medical Center Graduate School of Medicine; San Francisco (CA); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Remote collaboration

Job summary

The University of Tennessee Medical Center Graduate School of Medicine seeks a motivated Post-Doctoral Research Associate to join an international program studying Alzheimer's disease progression. You will lead large-scale data harmonization and develop Bayesian progression modeling within a transatlantic team spanning neuroimaging, omics, epidemiology, and genomics.

Applicants should hold a Doctorate in Biostatistics or a related field and have expertise in Bayesian modeling, survival analysis,

Qualifications

• Doctorate in Biostatistics, Statistics, Computational Biology, or a related field.
• Expertise in one or more core research areas: Bayesian modeling, survival analysis, missing data, or measurement error.
• Virtual work: strong communication, organization, and ability to manage complex workflows remotely.

Responsibilities

• Execute large-scale data harmonization across multi-cohort datasets.
• Develop and apply Bayesian biomarker progression modeling frameworks.
• Build survival models and multi-task learning architectures.
• Implement missing data harmonization and measurement error methods.
• Collaborate with international team across time zones and publish results.

Skills

Bayesian modeling

Survival analysis

Missing data

Measurement error

Education

Doctorate in Biostatistics or related field

Job description

The University of Tennessee Medical Center Graduate School of Medicine seeks a motivated Post-Doctoral Research Associate to join an international program studying Alzheimer's disease progression. You will lead large-scale data harmonization and develop Bayesian progression modeling within a transatlantic team spanning neuroimaging, omics, epidemiology, and genomics.

Applicants should hold a Doctorate in Biostatistics or a related field and have expertise in Bayesian modeling, survival analysis,