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• No of position :- ( 1 )

• Post :- 30th Jul 2025

•            Lead and manage healthcare-focused data science projects from conceptualization to deployment.

•            Develop and implement advanced machine learning, natural language processing, and generative AI models to solve healthcare problems.

•            Develop and implement advanced generative AI models (e.g., GANs, VAEs, transformers) to solve complex problems.

•            Use Python to build, test, and deploy data science solutions.

•            Utilize the GCP software stack (Vertex AI, Big Query, AI Platform, Dataflow, etc.) to manage and analyze large healthcare datasets.

•            Collaborate with cross-functional teams, including clinical experts, to integrate data-driven insights into healthcare processes.

•            Mentor and provide guidance to junior data scientists.

•            Stay current with the latest advancements in data science, machine learning, generative AI, and healthcare analytics.

•            Present findings and recommendations to stakeholders, including healthcare professionals and senior leadership.

•            Ensure best practices in data science and AI are followed across the team.

Requirements:

•            Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related field.

•            4-8 years of experience in data science or a related field, with a focus on healthcare applications.

•            Experience within a healthcare setting (hospital, ambulatory or ancillary services), preferred.

•            Expertise in machine learning, deep learning, and generative AI.

•            Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).

•            Extensive experience with the Google Cloud Platform (Vertex AI, BigQuery, AI Platform, Dataflow, etc.).

•            Strong understanding of healthcare data sources, healthcare informatics, and clinical data standards.

•            Excellent problem-solving skills and the ability to work on complex, multidisciplinary projects.

•            Strong communication and leadership skills.

•            Proven track record of leading successful data science projects in the healthcare industry.

•            Ability to collaborate effectively with cross-functional teams, including clinicians and healthcare professionals.