Data Scientist (Healthcare AI)

Data Scientist (Healthcare AI) Location:Scottsdale, AZ Job Type:FTE Schedule: Hybrid - 3 days Onsite; Monday – Friday; 8:00 AM to 5:00 PM Salary range:$92,000 to $115,000 Our Story Our mission is to bring care that’swhole, human, and healing.Blending medical, behavioral, and lifestyle support into a single plan because restoring life takes more than a prescription. At Lifekind Health we strive every day to live up to that definition by providing the best care possible for our complex patient population. Our team of medical doctors, psychologists, chiropractors, acupuncturists, dietitians, and massage therapists work together within a revolutionary transdisciplinary model that addresses the quadruple aim of healthcare: enhancing patient experience, improving patient health, reducing healthcare costs, and increasing employee satisfaction. Learn more about us at www.Lifekindhealth.com. Our Data Science team leverages cutting-edge analytics and machine learning solutions to improve how healthcare is delivered. We’re looking for a curious and motivated Data Scientist to analyze clinical data, craft features, experiment with algorithms, and create initial prediction models, playing a key role in designing and deploying our PAS.ai platform that support clinical decision-making and operational efficiency. Job Duties: Data Analysis • Collaborate with clinical experts to interpret and analyze EHR, imaging, and procedural data • Exploratory Data Analysis: visualize patterns in procedural outcomes, identify biases, outliers, and imbalanced data • Identify key variables (e.g., comorbidities, previous procedures, medications) • Translate clinical procedural guidelines and appropriateness criteria into data logic. Data Acquisition & Data Quality • Data Collection: Acquire raw data from various sources and define data extraction and data mapping specs • Use basic NLP techniques to structure clinical notes: tokenization, entity extraction, etc. • Data Cleaning and Preparation: Ensuring data quality through preprocessing, transformation, and normalization. Feature Engineering • Transform raw clinical data into usable model features • Derive new variables (e.g., chronicity of pain, prior treatment attempts, risk scores) • Study feature relevance and recommend optimal features Predictive Models • Build and test ML models (e.g. XGBoost regression, decision trees) • Validate model output relevance and fairness • Evaluate with appropriate metrics including confidence scores, and SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations) • Provide feedback on model interpretation and usability. Visualizations • Translate technical findings into actionable insights through reports and visualizations • Document findings and present insights to stakeholders. Qualifications • Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, or a related field. • 4 years’ experience in data science with a proven track record of building and delivering impactful data-driven products • Experience with building and testing predictive ML models using one or more of the following: regression, tree-based algorithms, time series analysis, cluster analysis, classification, or neural networks • Experience with Python and SQL for data manipulation, analysis, and model development, with advanced knowledge of databases and data representation, and handling unstructured data • Knowledge of Python libraries (especially Pandas, PyTorch, scikit-learn, TensorFlow) • Excellent analytical, problem-solving, and communication skills Preferred Skills • Experience with Healthcare AI • Experience with Visualization using Python libraries (Matplotlib, Seaborn) and/or Power BI • Exposure to Explainable AI (XAI), LIME and SHAP for model interpretability • Exposure to NLP Benefits: • 3 weeks' vacation upon hire • Health, Dental, Vision Insurance (PPO- 90% paid by employer/50% for dependents) • 401k • Employee assistance program • Employee discount • Life insurance • Disability insurance • Flexible spending account • Health savings account Equal Opportunity Employer: Lifekind Health is an Equal Opportunity Employer. We encourage applications from all individuals regardless of race, religion, color, sex, pregnancy, national origin, sexual orientation, gender identity, gender expression, ancestry, age, marital status, physical or mental disability or any other protected class, political affiliation or belief.