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Principal Data Science Engineer - HealthTech

This role is a contract remote position for a Principal Data Science Engineer in HealthTech, requiring expertise in data engineering, ETL processes, and healthcare data systems. Key skills include Python, R, SQL, and AI technologies. Advanced degree required.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 11, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Python #Computer Science #Data Modeling #ML (Machine Learning) #R #Programming #AI (Artificial Intelligence) #Security #SQL (Structured Query Language) #Data Engineering #Data Privacy #"ETL (Extract #Transform #Load)" #Data Science
Role description
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Company Description

CytoCync™ is a leading technology service provider for the healthtech, biotech, pharmatech, and medtech sectors. The company offers a HIPAA-compliant request portal for streamlined and predictable monthly software development services. CytoCync focuses on simplicity, security, and data privacy in all its innovative technology solutions, leveraging AI and advanced technology stacks to deliver secure and intuitive services.

Role Description

This is a contract remote role for a Principal Data Science Engineer at CytoCync. The role involves day-to-day tasks such as data engineering, data modeling, ETL processes, data warehousing, and data analytics to support the company's technology services in the healthcare sector.

Qualifications
• Data Engineering and Data Modeling skills
• Experience in Extract Transform Load (ETL) processes
• Data Warehousing and Data Analytics skills
• Strong understanding of healthcare data systems and regulations
• Proficiency in programming languages like Python, R, or SQL
• Experience with AI technologies and machine learning algorithms
• Advanced degree in Data Science, Computer Science, or related field