
Healthcare Data Science Professional
1 day ago
We are seeking a highly skilled Healthcare Data Engineer to join our team. The ideal candidate will have expertise in healthcare data engineering, with a strong background in data cleaning, normalization, aggregation, and feature extraction.
">Key Responsibilities- Design, develop, test, and integrate data solutions to support automated workflows, bots, and AI Agents.
- Perform data cleaning: identify and resolve errors, inconsistencies, duplicates, and missing values.
- Conduct data rationalization and normalization to align with healthcare data standards and structures.
- Aggregate and consolidate datasets from multiple systems (EHRs, claims, third-party vendors).
- Execute data extraction workflows to generate AI-ready features.
The successful candidate will collaborate closely with data scientists and AI/ML teams to ensure the delivery of high-quality, compliant data pipelines for predictive analytics, risk stratification, fraud detection, and other use cases.
">Requirements- Strong experience in healthcare data engineering (claims, EHR, clinical datasets).
- Proficiency in data cleaning, normalization, aggregation, and feature extraction.
- Knowledge of healthcare standards and coding systems (ICD-10, CPT, SNOMED, HL7, FHIR).
- Proficiency with SQL, Python, and automation frameworks for data workflows.
- Hands-on experience integrating data from multiple healthcare systems and vendors.
Additionally, the successful candidate will have knowledge of cloud-based solutions, APIs, and specialized payer platforms.
">Benefits- A competitive salary and benefits package.
- A dynamic and supportive work environment.
- Opportunities for professional growth and development.
The company is committed to providing a positive and inclusive work environment, fostering collaboration and innovation among its employees.
">How to ApplyInterested candidates should submit their resumes and cover letters to apply for this exciting opportunity.
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