Data Scientist

At Oracle Health, we are advancing healthcare through intelligent data-driven solutions. As a Data Scientist, you will contribute to model development and data analysis efforts that help transform clinical and operational data into meaningful insights.

You will work closely with senior scientists to prepare data, build models, and evaluate performance—developing hands-on expertise in AI/ML and learning how to translate data science into real-world healthcare applications.

Key Responsibilities

Prepare, clean, and analyze structured and unstructured healthcare data (EHR, claims, text).

Develop and test machine learning models under mentorship from senior data scientists.

Contribute to exploratory data analysis, feature engineering, and model evaluation.

Support deployment, testing, and documentation of AI/ML models.

Collaborate with cross-functional teams on data pipelines and analytical use cases.

Learn and apply best practices in healthcare data compliance and governance.

Required Qualifications

Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field.

1–3 years of hands-on experience in data analysis, ML, or AI.

Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, or PyTorch).

Foundational understanding of NLP and Generative AI concepts.

Strong analytical and problem-solving skills with attention to detail.

Preferred Qualifications

Exposure to healthcare data or interoperability standards (FHIR, HL7, ICD-10).

Familiarity with cloud-based ML environments (OCI, AWS, Azure, GCP).

Interest in AI research, publications, or open-source contributions.

Responsibilities
Contributes to the design and development of AI/ML models; supports data preparation and evaluation tasks; collaborates across teams to ensure accuracy and reproducibility; and builds foundational expertise to deliver high-quality healthcare AI solutions.