Curate Partners
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with 5+ years of experience in healthcare data science, proficient in SQL, Python, and machine learning. Contract length is "unknown" with a pay rate of "unknown." Location is "remote." Advanced degree preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 17, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Python #SQL (Structured Query Language) #Statistics #Cloud #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Compliance #Deployment #Data Science #SageMaker #Data Wrangling #Datasets #FHIR (Fast Healthcare Interoperability Resources) #Scala #NLP (Natural Language Processing) #TensorFlow #Azure #"ETL (Extract #Transform #Load)" #MLflow #Documentation #ML (Machine Learning) #Computer Science #Automation #GCP (Google Cloud Platform)
Role description
Overview:
Our healthcare client is seeking a Senior Data Scientist with deep expertise in SQL, Python, Generative AI, and Machine Learning to join their growing data team. This role will play a critical part in transforming healthcare data into actionable insights, powering smarter decisions across clinical operations, population health, and patient engagement initiatives.
Responsibilities:
• Design, develop, and deploy ML models to support predictive analytics, risk scoring, and personalized patient care.
• Build scalable ETL pipelines using SQL and Python to process large healthcare datasets (EHR, claims, lab data, etc.).
• Lead initiatives in Generative AI (e.g., LLMs, NLP) to drive innovation in patient communications, documentation, and clinical summarization.
• Partner with stakeholders to define data science use cases and present complex findings in a clear, actionable manner.
• Mentor junior team members and contribute to model governance and deployment best practices.
Requirements:
• 5+ years of professional experience in data science or advanced analytics, ideally in the healthcare or life sciences space.
• Expert in SQL and Python for data wrangling, modeling, and automation.
• Strong background in machine learning frameworks (e.g., Scikit-learn, TensorFlow, XGBoost).
• Hands-on experience applying Generative AI / LLMs to real-world problems.
• Familiarity with healthcare data types (e.g., HL7, FHIR, ICD codes, CPT codes) is a plus.
• Experience working in cloud environments (e.g., AWS, Azure, GCP) preferred.
• Advanced degree in Data Science, Computer Science, Statistics, or related field.
Nice to Have:
• Knowledge of HIPAA and healthcare regulatory compliance.
• Experience with MLOps tools (e.g., MLflow, SageMaker).
• Exposure to clinical decision support systems or digital health platforms.
Why Join?
• Mission-driven work impacting real patient outcomes
• Collaborative, innovative team environment
• Opportunities to lead and influence next-gen GenAI and ML solutions in healthcare
Overview:
Our healthcare client is seeking a Senior Data Scientist with deep expertise in SQL, Python, Generative AI, and Machine Learning to join their growing data team. This role will play a critical part in transforming healthcare data into actionable insights, powering smarter decisions across clinical operations, population health, and patient engagement initiatives.
Responsibilities:
• Design, develop, and deploy ML models to support predictive analytics, risk scoring, and personalized patient care.
• Build scalable ETL pipelines using SQL and Python to process large healthcare datasets (EHR, claims, lab data, etc.).
• Lead initiatives in Generative AI (e.g., LLMs, NLP) to drive innovation in patient communications, documentation, and clinical summarization.
• Partner with stakeholders to define data science use cases and present complex findings in a clear, actionable manner.
• Mentor junior team members and contribute to model governance and deployment best practices.
Requirements:
• 5+ years of professional experience in data science or advanced analytics, ideally in the healthcare or life sciences space.
• Expert in SQL and Python for data wrangling, modeling, and automation.
• Strong background in machine learning frameworks (e.g., Scikit-learn, TensorFlow, XGBoost).
• Hands-on experience applying Generative AI / LLMs to real-world problems.
• Familiarity with healthcare data types (e.g., HL7, FHIR, ICD codes, CPT codes) is a plus.
• Experience working in cloud environments (e.g., AWS, Azure, GCP) preferred.
• Advanced degree in Data Science, Computer Science, Statistics, or related field.
Nice to Have:
• Knowledge of HIPAA and healthcare regulatory compliance.
• Experience with MLOps tools (e.g., MLflow, SageMaker).
• Exposure to clinical decision support systems or digital health platforms.
Why Join?
• Mission-driven work impacting real patient outcomes
• Collaborative, innovative team environment
• Opportunities to lead and influence next-gen GenAI and ML solutions in healthcare
