Senior Data Science Engineer - HealthTech

Company Description CytoCync™ is a trailblazer in transforming software development for the healthtech, biotech, pharmatech, and medtech industries. Focused on simplicity, security, and regulatory compliance, CytoCync’s HIPAA-compliant platform accelerates product development while prioritizing data privacy and reducing healthcare costs. By leveraging AI and advanced technology stacks, we deliver intuitive, secure, and efficient technology solutions tailored to meet the highest standards. With a customer-centric approach, CytoCync empowers organizations to innovate and grow with confidence in safeguarding sensitive health data. Role Description This is a remote contract role for a Senior Data Science Engineer at CytoCync. The role involves designing and implementing scalable data pipelines, developing robust data models, performing Extract, Transform, and Load (ETL) operations, and managing data warehousing activities. The candidate will also leverage analytical techniques to generate actionable insights and collaborate with cross-functional teams to optimize health data solutions. Qualifications • Expertise in Data Engineering, including designing and maintaining scalable data pipelines • Strong proficiency in Data Modeling and developing robust structures to support business needs • Hands-on experience with Extract, Transform, and Load (ETL) processes • Knowledge and experience in building and managing Data Warehousing solutions • Proficiency in Data Analytics for transforming data into actionable insights • Strong programming skills in languages such as Python, R, or SQL • Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) for data-related tasks • Understanding of healthcare data privacy regulations, such as HIPAA compliance, is an advantage • Ability to work independently in a remote setting while collaborating effectively with a diverse team