"Open Rank Information Technology Professional (Entry-Senior)"

Open Rank Information Technology Professional (Entry-Senior)

University of Colorado Anschutz Medical Campus

Department: Neurology

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.

Qualifications:

Minimum Qualifications

• Senior Level
  • Bachelor's in Computer Science, Electrical/Computer Engineering, Data Science, Statistics, Applied Math, Neuroscience, or a related field from an accredited institution.
  • Two (2) years of professional IT project management experience, which included open source or AI/Machine Learning projects
  • Substitution: An advanced degree (Masters or Doctorate) may be substituted for experience on a year for year basis if the degree is in a field of study directly related to the work assignment.
• Intermediate
  • Bachelor's in Computer Science, Electrical/Computer Engineering, Data Science, Statistics, Applied Math, Neuroscience, or a related field from an accredited institution.
  • One (1) year of professional IT project management experience, which included open source or AI/Machine Learning projects
  • Substitution: An advanced degree (Masters or Doctorate) may be substituted for experience on a year for year basis if the degree is in a field of study directly related to the work assignment.
• Entry
  • Bachelor's in Computer Science, Electrical/Computer Engineering, Data Science, Statistics, Applied Math, Neuroscience, or a related field from an accredited institution.

Preferred Qualifications

• Master's degree in a related field
• Experience with time-series/signal data (EEG, ECG, accelerometry) and libraries like MNE-Python and YASA.
• Experience running or extending baseline machine learning workflows (scikit-learn; familiarity with PyTorch or TensorFlow is a plus).
• Experience using Tools that make research smoother: experiment tracking, data versioning, simple job scheduling (HPC/SLURM or equivalent).
• Experience with Packaging and simple APIs/CLIs to share analysis tools, basic containerization.

Competencies: Knowledge, Skills, and Abilities

• Ability to communicate effectively, both in writing and orally and follow through
• Ability to establish and maintain effective working relationships with employees at all levels throughout the institution.
• Outstanding customer service skills.
• Python 3 for data science: pandas/NumPy for wrangling; scikit-learn for modeling; experience with in Jupyter and modular code outside notebooks.
• Machine learning fundamentals: sound validation design (train/test splits, CV), prevention of leakage, metric selection, and interpretation.
• Frameworks: familiarity with PyTorch (preferred) or TensorFlow for deep learning; ability to read/modify training scripts.
• Software practices: Git/GitHub (branches, PRs), unit tests with pytest, environment management (conda/venv/poetry), Unix-like shell.
• Data skills: joins/reshapes, basic statistics, simple SQL or structured-data querying.
• Awareness of study design, uncertainty, and good reporting practices; experience with human-subjects data privacy.
• Interest in sleep neurophysiology, brain aging, and neurodegeneration.

How to Apply:

For full consideration, please submit the following document(s):

1. A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position
2. Curriculum vitae / Resume
3. Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address

Questions should be directed to: neurology-hr@cuanschutz.edu

Screening of Applications Begins: Applications will be accepted until finalists are identified, but preference will be given to complete applications received by January 5, 2026.

Anticipated Pay Range:

• Senior: $70,889-$90,171
• Intermediate: $65,572-$83,408
• Entry: $60,225-$76,645