Clinical Data Scientist

About the Client

Our client is a rapidly growing technology company at the intersection of healthcare and artificial intelligence. Founded by a team of industry veterans and academic leaders, this organization is on a mission to make high-quality clinical data more accessible for innovation in AI-driven healthcare. They are building a next-generation platform to support the development, training, and validation of responsible AI models with a strong emphasis on data quality and patient safety.

About the Role

The company is looking for a skilled Data Scientist to help shape, validate, and refine large-scale healthcare datasets for use in clinical research and AI product development. This role plays a crucial part in harmonizing complex, multimodal data from diverse healthcare environments into usable, well-documented formats for clinical and AI teams.

Responsibilities

• Design and maintain robust data transformation pipelines using tools such as dbt and Snowflake, prioritizing data integrity and transparency.
• Normalize and integrate various types of clinical data-including structured records, unstructured notes, imaging, and more-into a unified ontological model.
• Collaborate with engineering teams to optimize de-identification and ETL workflows from multiple cloud-hosted healthcare data sources.
• Partner with NLP experts to develop methods for extracting structured clinical information from text-based sources.
• Apply CI / CD and version control best practices within analytics codebases.
• Translate complex research and modeling requirements into scalable data engineering solutions in collaboration with technical stakeholders and external partners.

Requirements

Required :

Preferred :

Benefits & Why Join