Neuro Data Scientist II — ML for Brain Health & Repurposing

Phase2 Technology; Tucson (AZ); Hybrid; USD 59,000 - 74,000; Full time

Job summary

The University of Arizona's Center for Innovation in Brain Science (CIBS) seeks a Scientific Analyst II to support data science research focused on neurodegenerative diseases. You will work with large biomedical datasets (UK Biobank, All of Us, Insight, EMR) to study MHT effects on brain health and identify drug repurposing candidates.

This role requires advanced data science, AI, and ML to develop analytical pipelines that integrate multi-modal data.

Qualifications

• Master's degree in data science, biostatistics, bioinformatics, computational biology, computer science, or related field.
• Minimum of 3 years of relevant work experience.
• Strong knowledge of ML, statistical modeling, and data wrangling for large datasets.

Responsibilities

• Design, develop, and execute ML/AI pipelines for large-scale biomedical datasets.
• Identify risk factors, biomarkers, and patterns related to neurodegenerative diseases.
• Integrate multi-omics and clinical data to prioritize drug candidates.
• Collaborate with wet lab and clinical teams for translational interpretation.
• Maintain reproducible data pipelines and contribute to publications.

Skills

Data science

Artificial intelligence

Machine learning

Python

Education

Master's degree

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

XGBoost

Job description

The University of Arizona's Center for Innovation in Brain Science (CIBS) seeks a Scientific Analyst II to support data science research focused on neurodegenerative diseases. You will work with large biomedical datasets (UK Biobank, All of Us, Insight, EMR) to study MHT effects on brain health and identify drug repurposing candidates.

This role requires advanced data science, AI, and ML to develop analytical pipelines that integrate multi-modal data.