AI Scientist

Stack

Responsibilities

• ▹Design, develop, and deploy ML models to extract insights from clinical and healthcare data, including NLP tasks across publications, trial records, and medical claims
• ▹Build and optimize ML pipelines on large-scale distributed systems using Apache Spark and cloud-native tools
• ▹Work with structured and unstructured data to develop predictive models, classification systems, and entity resolution approaches
• ▹Collaborate with data engineers to integrate ML models into production ETL pipelines
• ▹Partner with MLOps teams to operationalize models: monitoring, retraining, versioning
• ▹Evaluate and benchmark model performance and present findings to stakeholders
• ▹Stay current with advances in NLP, deep learning, and healthcare AI applications

Requirements

• ▹5+ years of hands-on experience in machine learning, data science, or applied AI roles
• ▹Strong proficiency in Python; working knowledge of SQL and R
• ▹Deep experience with ML frameworks such as TensorFlow and PyTorch
• ▹Proven experience building models on large-scale data pipelines using Apache Spark (PySpark)
• ▹Exposure to NLP techniques: text classification, named entity recognition, information extraction, transformer-based models
• ▹Familiarity with cloud platforms (Azure preferred), Databricks, Delta Lake, Kubernetes
• ▹Experience working closely with data engineering and MLOps teams in production environments

Soft skills

About the company

H1 believes access to the best healthcare information is a basic human right. Its teams harness data and AI technology to unlock groundbreaking medical insights that improve patient outcomes and the drug development lifecycle.