Data Scientist – Healthcare Analytics & AI

About the role

We are seeking a junior-level Data Scientist to support analytics product development and AI-driven initiatives within healthcare operations. This role will contribute to building data pipelines, analytical models, and AI-enabled solutions that improve operational efficiency, decision quality, and workflow automation across complex healthcare processes.

Key Responsibilities

• Query, analyze, and transform healthcare operational data to support analytics product development
• Build and maintain data pipelines using Python and SQL, including joins, aggregations, and data validation logic
• Contribute to AI and machine learning initiatives, including experimentation and integration of GenAI capabilities
• Assist in developing analytical models and decision-support tools that enhance operational workflows
• Collaborate cross-functionally with data scientists, engineers, product managers, and business stakeholders
• Support testing, validation, and monitoring of models and data systems deployed in production

Requirements

• Education: Master’s degree preferred in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related technical field
• Experience: 0–3 years of experience in data science, analytics, data engineering, or applied AI (internships and academic research acceptable)
• Technical Skills: Strong Python programming skills, Solid SQL including joins, aggregations, and subqueries, Exposure to data pipelines and structured datasets, Familiarity with machine learning or GenAI concepts (academic or project-based experience acceptable)
• Other: Strong problem-solving skills and attention to detail, Comfortable working in agile, team-based environments, Ability to operate within secure, regulated data environments, Strong written and verbal communication skills

Benefits

• Competitive Salary: Market-aligned compensation during the contract period, with potential full-time offer upon successful completion
• Health and Wellness: Access to a comprehensive benefits package
• Professional Development: Work with a high-performing analytics team using modern technologies, with ongoing learning resources
• Additional Perks: Inclusive work environment, long-term career potential, and involvement in high-impact projects