Lead Data Scientist - Healthcare Domain

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About The Role

• Lead the design, development, and deployment of scalable machine learning and statistical models for healthcare use cases such as patient outcomes prediction, risk modeling, clinical decision support, and claims analytics.
• Collaborate with cross-functional teams (product, engineering, clinical experts) to translate healthcare business challenges into data science solutions.
• Provide technical leadership and mentorship to junior data scientists and analysts.
• Work with large-scale healthcare datasets (EHR, clinical trial, claims, genomic, IoT/medical device data) ensuring compliance with HIPAA and other relevant regulations.
• Build and optimize data pipelines and frameworks for real-time and batch processing.
• Communicate findings effectively to non-technical stakeholders through data storytelling and visualizations.
• Stay up to date with the latest advancements in healthcare analytics, AI/ML, and regulatory Skills & Qualifications :
• 712 years of proven experience in data science, machine learning, or AI, with at least 3+ years in healthcare analytics or life sciences domain.
• Advanced proficiency in Python/R, SQL, and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of healthcare data standards (HL7, FHIR, ICD, CPT) and clinical workflows.
• Expertise in building predictive models, natural language processing (NLP), and statistical analysis.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Spark, Hadoop).
• Excellent leadership, stakeholder management, and communication Qualifications :
• Advanced degree (M.S./Ph.D.) in Computer Science, Data Science, Biostatistics, or related field.
• Knowledge of healthcare regulations and compliance frameworks (HIPAA, GDPR).
• Experience with real-world evidence (RWE), clinical trial data, or medical imaging analytics.
• Familiarity with MLOps tools and production deployment best Join Us :
• Work on cutting-edge healthcare data science projects with meaningful real-world impact.
• Fully remote role with flexible work culture and opportunities for professional growth.