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Job DescriptionJob Description
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’s
whole, 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
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
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 , , , , , , , , expression, ancestry, , marital status, physical or mental or any other protected class, political affiliation or belief.
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’s
whole, 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
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
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 , , , , , , , , expression, ancestry, , marital status, physical or mental or any other protected class, political affiliation or belief.