Source description
About the role
Experience in pharma or life sciences,working with structured data (LAAD,lab,sales) and unstructured sources (market research,physician notes,publications). Proficiency in R / RShiny and exposure to modern data platforms (Databricks,AWS,Azure,Snowflake). Hands-on experience with MLOps tools (MLflow,Docker,Airflow,CI / CD) for scalable model training,deployment,and monitoring.
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