University of Colorado Anschutz Medical Campus Department: Neurology

Job Title: Information Technology Professional (Open Rank: Entry-Intermediate)

Position # 00845149 – Requisition # 38989

Job Summary:

Alzheimer’s disease is a leading cause of death in the United States, and scalable digital tools for prevention and early detection are urgently needed. Our team is building machine learning–driven digital biomarkers from wearable sleep electroencephalography (EEG) to assess neurodegenerative changes before symptoms appear.

Some examples of projects include the following:

• Brain aging phenotypes derived from EEG-based digital features
• Cognitive decline trajectories linking sleep-related physiology to performance
• Multimodal correlates, integrating EEG with neuroimaging and Alzheimer’s molecular/structural measures

We’re seeking a Part-Time Data Scientist who can analyze real‑world datasets and build well‑documented, reproducible applied mathematical analysis pipelines in Python. You will drive exploratory data analysis, feature engineering, and model development, while applying solid documentation and coding practices that make results reliable and repeatable.

 

Candidates with backgrounds in Applied Mathematics who bring strong data‑analysis skills and practical ML experience are encouraged to apply. Equivalent real‑world experience is welcome.

Key Responsibilities:

• Perform exploratory data analysis on sleep EEG and related datasets; define targets, features, and baselines aligned with digital biomarker goals.
• Develop, evaluate, and compare models for classification/regression using sound validation design, including cross-validation, regularization, calibration, and structured error analysis.
• Translate scientific questions into measurable model objectives and evaluation criteria, balancing performance with robustness and interpretability.
• Document experiments and results clearly; draft brief model cards and dataset summaries, including assumptions, limitations, and intended use.
• Build and maintain robust workflows to ingest, validate, and transform sleep EEG and related signals into analysis-ready formats.
• Implement preprocessing and feature-generation steps appropriate for wearable biosignals, with attention to data quality, artifact handling, and consistent labeling/alignment.
• Implement data quality checks and lightweight reporting to catch issues early (e.g., missingness, signal quality variation, label inconsistencies).
• Other Duties assigned 

Work Location:

Remote – this role is eligible to work remotely, but the employee must be in the United States.

Why Join Us:

The University of Colorado Anschutz Medical Campus is a public education, clinical and research facility serving 4,500 students, and a world-class medical destination at the forefront of life-changing science, medicine, and healthcare. CU Anschutz offers more than 42 highly rated degree programs through 6 schools and colleges,