Data Scientist – Healthcare Analytics & AI
Burtch Works · United States
- On site
- Temporary
- United States
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About the role
Job Title: Data Scientist – Healthcare Analytics & AI (Junior Level)
Location: Remote
About The Company
We are a large-scale healthcare enterprise focused on transforming healthcare operations through data, analytics, and technology. Our teams partner closely with the business to build AI-driven solutions that improve accuracy, efficiency, and decision-making across complex operational domains.
Job Summary
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.
The ideal candidate is a recent Master’s graduate or early-career professional (0–3 years experience) with strong technical fundamentals in Python and SQL and an interest in applying data science within regulated, production environments.
This role operates within an agile team structure under the guidance of a Tech Lead and Product Manager and offers hands-on exposure to real-world healthcare analytics and AI systems.
This is a contract-to-hire opportunity with long-term strategic impact.
Key Responsibilities
Location: Remote
About The Company
We are a large-scale healthcare enterprise focused on transforming healthcare operations through data, analytics, and technology. Our teams partner closely with the business to build AI-driven solutions that improve accuracy, efficiency, and decision-making across complex operational domains.
Job Summary
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.
The ideal candidate is a recent Master’s graduate or early-career professional (0–3 years experience) with strong technical fundamentals in Python and SQL and an interest in applying data science within regulated, production environments.
This role operates within an agile team structure under the guidance of a Tech Lead and Product Manager and offers hands-on exposure to real-world healthcare analytics and AI systems.
This is a contract-to-hire opportunity with long-term strategic impact.
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
- 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
- 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.
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