Machine Learning (ML) / Data Science Expert

Role Overview: As a Machine Learning / Data Science Expert at Max Institute of Healthcare Management, your main job is to evaluate, validate, and operationalize AI/ML models for real-world healthcare applications, ensuring accuracy, fairness, and compliance. This position offers you an opportunity to apply advanced analytical and technical skills in evaluating and deploying AI models within real-world healthcare settings. You will play a crucial role in reviewing AI solutions, benchmarking model performance, ensuring compliance with data security standards, and supporting pilot deployments. Key Responsibilities: - Conduct desk reviews of AI solutions including evaluation of training datasets, algorithm choices, and model construction - Assess retrospective performance metrics, calibration, and bias mitigation approaches; establish benchmarks - Ensure compliance with reporting standards and data security/privacy guidelines - Support pilot deployments by validating data pipelines and monitoring real-time model performance (with site-travel as required) - Facilitate training sessions for deployment teams on the interpretation and utilization of AI outputs - Work with on-site teams to test model outputs in real-world settings and integration into user workflows - Conduct hands-on validation of model performance at pilot sites (e.g., comparing outputs with clinical decisions) - Collaborate closely with clinical experts, operations specialists, and researchers to ensure models are relevant and actionable in real-world settings Qualification Required: - MS/PhD in Computer Science (preferred); OR a Postgraduate Diploma in Data Science combined with an undergraduate degree in Engineering, Statistics, Mathematics, or related discipline - Strong organizational and communication skills to work across diverse technical, clinical, and research teams - Excellent project management and organizational skills - Demonstrated ability to manage relationships with partner organizations - Minimum 3 years of experience in AI/ML model development, validation, and evaluation with large, real-world datasets - Hands-on experience building and validating AI/ML models in areas such as predictive modeling, classification, natural language processing, or computer vision applications - Experience in applying fairness, bias, and equity assessments in ML models - Familiarity with data management, ML pipeline development, and IT system integration processes - Knowledge of model explainability and interpretability tools - Knowledge of data security, privacy, and regulatory compliance requirements Additional Company Details: Max Institute of Healthcare Management is an interdisciplinary research center at ISB that provides insights on healthcare delivery and management to policymakers, public institutions, and corporates. The institute aims to enable the creation of better health systems through integrated elements of research, education, and outreach. Role Overview: As a Machine Learning / Data Science Expert at Max Institute of Healthcare Management, your main job is to evaluate, validate, and operationalize AI/ML models for real-world healthcare applications, ensuring accuracy, fairness, and compliance. This position offers you an opportunity to apply advanced analytical and technical skills in evaluating and deploying AI models within real-world healthcare settings. You will play a crucial role in reviewing AI solutions, benchmarking model performance, ensuring compliance with data security standards, and supporting pilot deployments. Key Responsibilities: - Conduct desk reviews of AI solutions including evaluation of training datasets, algorithm choices, and model construction - Assess retrospective performance metrics, calibration, and bias mitigation approaches; establish benchmarks - Ensure compliance with reporting standards and data security/privacy guidelines - Support pilot deployments by validating data pipelines and monitoring real-time model performance (with site-travel as required) - Facilitate training sessions for deployment teams on the interpretation and utilization of AI outputs - Work with on-site teams to test model outputs in real-world settings and integration into user workflows - Conduct hands-on validation of model performance at pilot sites (e.g., comparing outputs with clinical decisions) - Collaborate closely with clinical experts, operations specialists, and researchers to ensure models are relevant and actionable in real-world settings Qualification Required: - MS/PhD in Computer Science (preferred); OR a Postgraduate Diploma in Data Science combined with an undergraduate degree in Engineering, Statistics, Mathematics, or related discipline - Strong organizational and communication skills to work across diverse technical, clinical, and research teams - Excellent project management and organizational skills - Demonstrated ability to manage relationships with partner organizations - Minimum 3 years of experi