Data Scientist

• Utilize NLP techniques to interpret clinical notes, diagnoses, and other medical texts.
• Handle structured and unstructured data effectively.
• Integrate data from multiple sources into cohesive patient profiles.
• Automatically generate concise summaries of patient history, treatment, and outcomes.
• Develop customizable summarization templates based on user needs.
• Develop data extraction and NLP modules.
• Establish basic data normalization and integration functionalities.
• Implement initial user authentication and role-based access.
• Build and deploy models (including LLMs) in GCP.
• Work collaboratively with cross-functional teams to deliver solutions.
• Experience working in the healthcare domain.

• Proven experience as a Data Scientist or similar role, preferably in the healthcare domain.
• Strong proficiency in programming languages such as Python or R.
• Experience with data manipulation and analysis libraries.
• Knowledge of machine learning techniques and algorithms (e.g., regression, classification, clustering).
• Experience with natural language processing (NLP) tools and libraries.
• Experience with Using Vertex AI.
• Experience developing and deploying generative AI models Vertex AI API using models (like PaLM 2, MedLm)
• Developing & exploring a multi-model.
• Experience with cloud platforms, particularly GCP.
• Excellent communication and interpersonal skills.
• ML Deployment

Good to have:

• Familiarity with healthcare data standards and protocols, such as FHIR.
• Ability to work independently and collaboratively in a fast-paced environment.