Principal Data Science Engineer - HealthTech

Company Description CytoCync™ is an industry leader in delivering innovative technology solutions for the healthtech, biotech, pharmatech, and medtech sectors. Our streamlined, HIPAA-compliant platform simplifies complex software development processes, supporting companies in accelerating their growth while protecting sensitive health data. With a strong focus on data privacy, security, and regulatory compliance, CytoCync leverages AI and the latest technology stacks to deliver cutting-edge, user-friendly services. Our approach addresses inefficiencies in traditional software development, ultimately reducing healthcare costs and expediting product lifecycle development. Role Description This is a remote contract position for a Principal Data Science Engineer in the HealthTech sector. The ideal candidate will specialize in designing and implementing robust data pipelines, developing comprehensive data models, and ensuring the security and compliance of data solutions. Daily responsibilities include leading data engineering projects, designing efficient ETL workflows, managing data warehousing systems, and delivering actionable insights through advanced analytics solutions. Qualifications • Strong proficiency in Data Engineering and Data Modeling • Experience with Extract Transform Load (ETL) processes and Data Warehousing • Capability to perform advanced Data Analytics and derive actionable insights from large datasets • Strong understanding of data privacy and regulatory compliance, particularly in the healthcare industry • Proficiency with modern programming languages and tools for data science and engineering • Ability to work independently in a fully remote, contract-based environment • Master's or higher degree in Data Science, Computer Science, or related fields preferred