Neuro Data Science Analyst II - ML & Drug Repurposing

University of Arizona; Tucson (AZ); Hybrid; USD 59,000 - 74,000; Full time

Job summary

University of Arizona seeks a Scientific Analyst II to advance data science research in neurodegenerative diseases. You will develop ML pipelines, integrate genomic, clinical, lifestyle, and imaging data, and contribute to publications and grant projects.

Responsibilities include collaborating with interdisciplinary teams, managing large datasets, and advancing computational infrastructure within the Center for Innovation in Brain Science. A strong ML and data-wrangling skill set is essential.

Qualifications

• Master's degree in a data-related field.
• Minimum of 3 years of relevant work experience.
• Experience with UK Biobank, All of Us Research Program, or similar population cohorts (preferred).
• Experience with electronic medical records data analysis (preferred).

Responsibilities

• Design, develop, and execute ML pipelines for large biomedical datasets.
• Identify risk factors and biomarkers with supervised/unsupervised learning.
• Curate and harmonize UK Biobank, All of Us, and EMR data; ensure quality.
• Publish findings and present to teams; maintain reproducible methods.

Skills

Data science

Machine learning

Python

R

Big data

Collaboration

Education

Master's degree

Tools

Python

R

SQL

Git

Job description

University of Arizona seeks a Scientific Analyst II to advance data science research in neurodegenerative diseases. You will develop ML pipelines, integrate genomic, clinical, lifestyle, and imaging data, and contribute to publications and grant projects.

Responsibilities include collaborating with interdisciplinary teams, managing large datasets, and advancing computational infrastructure within the Center for Innovation in Brain Science. A strong ML and data-wrangling skill set is essential.