IT Professional

Information Technology Professional (Open Rank: Entry-Intermediate)

University of Colorado Anschutz Medical Campus – Department:
Neurology

Position #:  – Requisition #: 38989

Job Summary:

Work on machine‑learning driven digital biomarkers from wearable sleep electroencephalography (EEG) to assess neurodegenerative changes. Projects involve exploratory data analysis, feature engineering, model development, and documentation for sleep‑EEG and related signals.

• 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 (cross‑validation, regularization, calibration, 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, focusing on 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 as assigned.

• Bachelor’s degree in Computer Science, Electrical/Computer Engineering, Data Science, Statistics, Applied Mathematics, Neuroscience, or a related field.
• One (1) year of professional IT project management experience, or an advanced degree (master’s or doctorate) may substitute for experience on a year‑for‑year basis if the degree is in a directly related field.

• Master’s degree in a related field.
• Applied math methods relevant to biosignals: coursework or project experience in time‑series analysis, statistical learning, signal processing, numerical optimization, inverse problems, or stochastic processes—especially applied to noisy real‑world data.
• Biosignal/EEG experience: exposure to EEG (sleep or otherwise) or related physiological signals (ECG, actigraphy, respiration); familiarity with common preprocessing/feature concepts (filtering, spectral features, artifact handling). Experience with tools such as MNE‑Python, YASA, or comparable MATLAB/R toolboxes is a plus.
• Practical model evaluation skills: experience designing train/test splits and cross‑validation for subject‑level/time‑series data; structured error analysis; calibration/thresholding concepts; ability to compare baseline statistical models and communicate tradeoffs.
• Research tooling & workflow maturity: experience with reproducible workflows (clean repo structure, scripted runs, configuration files), basic environment management, and/or experiment logging.
• Human‑subject/regulated data awareness: experience working with IRB‑governed datasets, data use agreements, or privacy constraints (HIPAA‑aligned handling where applicable).
• Interest in sleep neurophysiology, brain aging, and neurodegeneration; enthusiasm for building scalable digital biomarkers from wearable data.

• Ability to communicate effectively, both in writing and orally and follow through.

Remote – employee must be located in the United States.

• Entry Level: $28.95–$36.84 per hour.
• Intermediate: $31.52–$40.00 per hour.

The University of Colorado Anschutz Medical Campus is an equal opportunity employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. The University provides reasonable accommodations to applicants with disabilities and encourages vaccination against COVID‑19 where required.

February 16, 2026.