Data Scientist

Overview

Essential Selection Criteria

• Master’s degree (or higher) in:
• Data Science
• Statistics
• Computer Science

• Biomedical And Health Informatics

• Applied Mathematics or related discipline
• Strong proficiency in

Python

• for data analysis and modeling.
• Advanced

Sql

• skills and experience working with relational databases.
• Solid grounding in
• statistics and machine learning
• (e.g., regression, classification, clustering, time-series analysis).
• Experience with
• data visualization and dashboards
• (e.g., Power BI, Tableau, or equivalent).
• Ability to build
• reproducible analytical workflows
• (version control, documentation, testing).
• 3–6 years’ experience in a data science, analytics, or applied research role.
• Experience working with
• complex, real-world datasets
• (healthcare, education, or research data preferred).
• Demonstrated ability to translate stakeholder questions into analytical solutions.

Desirable Attributes

• Experience working with
• health or clinical data
• (EHRs, outcomes data, registries).
• Familiarity with
• data governance, privacy, and confidentiality
• in regulated environments.
• Exposure to:
• Predictive modeling and forecasting
• Optimization or operational analytics
• Text, imaging, or omics data (advantageous but not required)
• Experience supporting
• research projects
• , publications, or grant-funded studies.
• Familiarity with cloud-based analytics platforms (e.g., Azure, AWS, GCP).

Key Responsibilities

• Develop and maintain analytics pipelines for clinical, education, and research datasets.
• Build dashboards and visualizations to support operational, academic, and research decision-making.
• Perform statistical analyses and machine learning to identify trends, patterns, and opportunities for improvement.
• Work closely with clinicians, faculty, and administrators to understand analytical needs.
• Support research projects with data preparation, analysis, and publication-ready outputs.
• Contribute to cross-functional analytics initiatives within the Oral Health Ecosystem.
• Ensure data accuracy, consistency, and documentation.
• Apply best practices in data security, privacy, and ethical use of health data.
• Support institutional standards for reproducible and auditable analytics.
• Contribute to departmental initiatives, working groups, and task forces as required.
• Engage in continuous professional development to stay current with data science best practices.

Application Process

• Interested candidates should submit:
• A full curriculum vitae.
• A cover letter addressing the selection criteria.
• Contact details for at least three referees.
• Apply via Interfolio: apply.interfolio.com/181502