Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4326500903&distance=25.0&f_AL=true&f_TPR=r86400&f_WT=2&geoId=103644278&keywords=machine%20learning&origin=JOB_SEARCH_PAGE_KEYWORD_AUTOCOMPLETE&refresh=true&start=25 Job Description: CytoCync Share Show more options Senior Data Science Engineer - BioTech United States · 3 hours ago · 12 applicants No response insights available yet Remote Matches your job preferences, workplace type is Remote. Contract Easy Apply Save Save Senior Data Science Engineer - BioTech at CytoCync Senior Data Science Engineer - BioTech CytoCync · United States (Remote) Easy Apply Save Save Senior Data Science Engineer - BioTech at CytoCync Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Practice mock interviews personalized to every role and get custom feedback Try Premium for PKR0 About the job Company Description CytoCync™ is transforming the healthtech, biotech, pharmatech, and medtech industries by simplifying software development through a secure, HIPAA-compliant request portal. Our solutions address inefficiencies in traditional software development, reducing healthcare costs and expediting product development timelines. Dedicated to data privacy and regulatory compliance, we utilize advanced AI and technology stacks to deliver intuitive, secure, and user-friendly technology services. Our comprehensive platform ensures a seamless user experience while maintaining the highest standards of security and performance for sensitive health data. Role Description The Senior Data Science Engineer - BioTech is a contract-based, remote role focused on building and optimizing data solutions for complex biotech and health applications. Responsibilities include designing and developing scalable data pipelines, performing advanced data modeling, transforming and integrating data (ETL), and maintaining robust data warehousing systems. Collaboration with cross-functional teams, creating strategies for data analytics, and ensuring compliance with data security and privacy standards will also be central to this role. Qualifications Strong expertise in Data Engineering, including the ability to build and maintain scalable data pipelines. Proficiency in Data Modeling techniques to create flexible and efficient database structures. Experience with Extract, Transform, Load (ETL) processes and integrating complex datasets. Knowledge of Data Warehousing solutions for large datasets and business intelligence purposes. Proven ability to design and execute Data Analytics strategies to support operational decision-making. Familiarity with advanced machine learning and AI technologies is a plus. Strong programming skills, particularly in Python, SQL, or other data processing languages. Proven understanding of healthcare data privacy and regulatory compliance frameworks, such as HIPAA or GDPR. Advanced degree (Master's or PhD) in Data Science, Computer Science, Bioinformatics, or a related field is preferred.