Remote-Optional Postdoc: Neuroimaging Stats & Multiview ML

Statistics Interest Group; Indianapolis, New Haven (IN, CT); Remote; USD 55,000 - 65,000; Full time

Job summary

Indiana University School of Medicine and Yale School of Public Health jointly seek a Postdoctoral Fellow to develop and apply novel statistical methods for quantitative neuroimaging and multiview data integration, with applications to Alzheimer's disease and substance-related neurodevelopmental effects.

The candidate will work within an interdisciplinary team, coding in R, MATLAB, and Python, and will have opportunities to contribute to method development, data analysis, and translational

Qualifications

• PhD in biostatistics, statistics, or a related discipline
• Experience with neuroimaging data and statistical methodology development would be advantageous
• Proficiency in R, MATLAB, or Python and strong programming skills
• Ability to work in an interdisciplinary team across institutions

Responsibilities

• Develop and apply novel statistical methods for quantitative neuroimaging and multiview data integration
• Collaborate with an interdisciplinary team across departments and institutes
• Contribute to high-impact biomedical research focused on neurological and psychiatric disorders

Skills

R

MATLAB

Python

High-dimensional data analysis

Time series

Functional data

Bayesian statistics

Random object analysis

Optimal transport

Strong programming skills

Education

PhD in biostatistics or statistics

Tools

Imaging software

Job description

Indiana University School of Medicine and Yale School of Public Health jointly seek a Postdoctoral Fellow to develop and apply novel statistical methods for quantitative neuroimaging and multiview data integration, with applications to Alzheimer's disease and substance-related neurodevelopmental effects.

The candidate will work within an interdisciplinary team, coding in R, MATLAB, and Python, and will have opportunities to contribute to method development, data analysis, and translational