University of Colorado Anschutz Medical Campus

Department: Neurology

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

Position #: 00843532 – Requisition #: 38541

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.

We’re seeking a Data Scientist who can analyze real‑world datasets and build well‑documented, reproducible machine‑learning pipelines in Python. You will drive exploratory data analysis, feature engineering, and model development (scikit‑learn and preferably PyTorch, or a similar framework), while applying solid software practices that make results reliable and repeatable. Some examples of projects that the finalist might work on include, brain aging phenotypes from EEG derived features, cognitive decline trajectories, linking oscillatory circuits to performance, and neuroimaging/biomarkers correlates, integrating EEG with Alzheimer’s molecular/structural measures.

Candidates with backgrounds in Biostatistics, Statistics, Computer Science, Applied Mathematics, Biomedical/Bioengineering, Electrical/Computer Engineering, Neuroscience, and/or Research Software Engineering who bring strong data‑analysis skills and practical ML experience are encouraged to apply. Equivalent real‑world experience is welcome.

Key Responsibilities:

• Document experiments and results clearly; draft brief model cards and dataset summaries.

• Perform exploratory data analysis on sleep EEG and related datasets; define targets, features, and baselines.

• Train, evaluate, and compare models (classification/regression, cross validation, regularization, calibration, error analysis).

• Implement and tune ML pipelines (scikit learn; PyTorch/TensorFlow preferred for deep learning tasks).

• Keep data steps reproducible with configuration, run scripts, and sensible versioning of code/data.

• Build and maintain robust workflows to ingest, validate, and transform data into analysis ready formats.

• Other duties as assigned

Work Location:

Hybrid – this role is eligible for a hybrid schedule of 3 days per week on campus and as needed for in-person meetings.

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, supported by