Information Technology Professional; Entry-Senior
Listed on 2025-12-20
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IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer
University of Colorado Anschutz Medical Campus
Department: Neurology
Job Title: Open Rank Information Technology Professional (Entry‑Senior)
Position #: – Requisition #38541
Job SummaryAlzheimer'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 are seeking a Data Scientist who can analyze real‑world datasets and build well‑documented, reproducible machine‑learning pipelines in Python.
The role will involve 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. Projects may include brain aging phenotypes from EEG‑derived features, cognitive decline trajectories, linking oscillatory circuits to performance, and neuroimaging/biomarker correlates, integrating EEG with Alzheimer's molecular/structural measures.
- 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/Tensor Flow 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.
Hybrid – eligible for 3 days per week on campus and as needed for in‑person meetings.
Why Join UsThe 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 $704 million in research awards in fiscal year 2023, creating an overall economic impact to the state of Colorado of $11.5 billion.
We are the single largest health professions education provider in Colorado, awarding nearly 1,450 degrees annually. Powered by award‑winning faculty, renowned researchers, and a reputation for academic excellence, the CU Anschutz Medical Campus drives innovation from the classroom to the laboratory to the delivery of unparalleled patient care.
- Medical – multiple plan options
- Dental – multiple plan options
- Additional Insurance – disability, life, vision
- Retirement 401(a) – employer contributes 10% of your gross pay
- Paid Time Off – accruals over the year
- Vacation Days – 22/year (maximum accrual 352 hours)/li>
- Sick Days – 15/year (unlimited maximum accrual)/li>
- Holiday Days – 10/year
- Tuition Benefit – employees have access to this benefit on all CU campuses
- ECO Pass – reduced rate RTD bus and light rail service
Minimum Qualifications
Applicants must meet minimum qualifications at the time of hire.
- 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 (master’s 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 (master’s or…
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