Clinical AI Data Scientist

Your future role at a glance: Location: RemoteDepartment: Clinical and Population Health AnalyticsSchedule: Full-time | Day shiftSalary: $96,208.99 - $134,109.89 per year #ADSI #internalops How you'll make an impact in this role: * Build & Refine: Assist in building, testing, and refining predictive machine learning models and text-based Generative AI tools (utilizing Vertex AI and modern NLP frameworks) under the guidance of senior team members to address real-world clinical challenges. * Process & Analyze: Extract, clean, and preprocess structured healthcare data (EHR, billing, and claims), performing feature engineering to address noise, missingness, and complex clinical data structures. * Evaluate & Test: Conduct model evaluation, benchmarking, and error analysis, assessing performance metrics alongside clinical safety, fairness, and potential algorithmic bias. * Collaborate & Learn: Work alongside senior data scientists and clinical mentors to translate broad clinical questions into structured analytics problems and actionable technical tasks. * Document & Handoff: Write clean, well-documented code and maintain clear project documentation (in GitHub) to support model deployment and integration with MLOps pipelines.

What minimum qualifications you'll need:

Education:* High School diploma equivalency with 2 years of cumulative experience OR Associate's

degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required.

What additional requirements you'll need: * Education: A Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Health Informatics, Statistics, or a related STEM field. Healthcare Domain Interest: Familiarity with or strong eagerness to learn healthcare data standards and clinical coding structures (e.g., ICD-10, CPT codes). * Core Technical Skills: Solid foundational proficiency in Python (pandas, NumPy, scikit-learn), work