Senior Research Scientist - Biomedical ML & AI

University of Washington Medical Center; Seattle (WA); Ibrido; USD 108.000 - 156.000; Tempo pieno

Descrizione del lavoro

The Department of Biostatistics at the University of Washington seeks a Research Scientist/Engineer 4 in Biostatistics and Biomedical Data Science to develop new statistical machine learning and AI methods for diverse biomedical data and to apply them to diseases such as ADRD and CVD.

This limited-term role supports methodological innovation and collaboration with UW researchers, with a hybrid work arrangement and regular engagement in in-person activities at the Seattle campus.

Competenze

• Master’s degree in biostatistics, statistics, computer science, or a related field and four years of experience with machine learning/AI for biomedical data and health applications.
• Demonstrated research independence through high-quality publications.
• Excellent oral and written communication skills for disseminating scientific findings.
• Strong programming skills in a statistical language (e.g. R, Python).

Mansioni

• Develop and deploy statistical machine learning and AI methods and software tools for analysis of diverse biomedical data (40%).
• Lead and contribute to scientific investigations by biomedical scientists to analyze multi-modal biomedical data to discover new biomarkers and investigate mechanisms of complex diseases (25%).
• Disseminate study findings through reports and presentations for progress reports and peer-review publications (10%).

Conoscenze

Machine learning

AI methods

Programming in R

Programming in Python

Communication skills

Formazione

Master’s degree in biostatistics, statistics, computer science, or related field

Doctoral degree in biostatistics, statistics, computer science, or related field

Strumenti

R

Python

Descrizione del lavoro

The Department of Biostatistics at the University of Washington seeks a Research Scientist/Engineer 4 in Biostatistics and Biomedical Data Science to develop new statistical machine learning and AI methods for diverse biomedical data and to apply them to diseases such as ADRD and CVD.

This limited-term role supports methodological innovation and collaboration with UW researchers, with a hybrid work arrangement and regular engagement in in-person activities at the Seattle campus.