Postdoctoral Fellow

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 - Postdoctoral Fellow

Company Name Indiana University School of Medicine and Yale School of Public Health

Position Title Postdoctoral Fellow

Company Information

The Department of Biostatistics and Health Data Science at Indiana University School of Medicine advances biomedical research through innovative statistical methodology, interdisciplinary collaboration, and training of the next generation of biostatisticians and data scientists. Its faculty expertise spans neuroimaging, bioinformatics, causal inference, clinical trials, machine learning, and artificial intelligence, with extensive collaborations across basic science and clinical disciplines.
The Department of Biostatistics at Yale School of Public Health develops statistical and computational methods to address complex challenges in biology, medicine, and public health, with research strengths in complex data modeling, causal inference, health informatics, clinical trials, and machine learning. The department offers a collaborative research and training environment connecting statistics, computer science, and biomedical applications.
This postdoctoral opportunity brings together researchers from both departments in an interdisciplinary team focused on quantitative neuroimaging and multiview data integration, with applications to neurological and psychiatric disorders.

Duties and Responsibilities

We are seeking one highly motivated Postdoctoral Fellow interested in developing and applying novel statistical methodologies for quantitative neuroimaging and multiview data integration, as related to Alzheimer's Disease and the impact of substance exposure on neurodevelopment. The ideal individual will have a strong history of coding in R, MATLAB, and/or Python, and statistical skills in any of (but not limited to) the following areas, including high-dimensional data analysis, time series, functional data, Bayesian statistics, random object analysis, and optimal transport. Experience with neuroimaging data processing and analysis is a plus. The fellows will work with an interdisciplinary team spanning multiple departments and institutes with a common goal of creating and evaluating novel statistical algorithms in healthcare and neuroscience. Working remotely is optional.

Position Qualifications

The minimum qualifications for a successful candidate include:

• Completed PhD in biostatistics, statistics, or a related discipline
• Prior neuroimaging experience
• Strong skills in statistical methodology development and implementation
• Strong programming skills, experience with imaging software is a plus