Collect, clean, and analyze large and complex healthcare and operational datasets.
Build, test, and deploy statistical and machine learning models to support business and scientific initiatives.
Work closely with cross-functional teams — including IT, clinical, operations, and business leaders — to translate data into actionable insights.
Support the development of data pipelines and workflows that ensure scalable and reproducible analytics.
Contribute to data visualization and reporting dashboards for internal and external stakeholders.
Document methodologies, analyses, and model results to ensure transparency and reproducibility.
Stay current with new tools, technologies, and best practices in data science and healthcare analytics.

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Information Systems or Information Technology
6 months or more experience (academic, internship, or professional) programming in Python, R, or SQL
6 months or more experience (academic, internship, or professional) applying machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch
6 months or more experience (academic, internship, or professional) building data visualizations using tools such as Tableau, Power BI, matplotlib, or seaborn
6 months or more experience (academic, internship, or professional) applying statistical modeling, hypothesis testing, or predictive analytics

Associate Data Scientist

Key skills