Description

You will design and develop data pipelines for Real-World Evidence and Next-Generation Sequencing data. You manage the full lifecycle of genomic and clinical datasets within the AWS cloud.

Responsibilities

• Build data pipelines using Python, Pandas, SQL, and NoSQL for genomic and clinical datasets.
• Perform data cleaning, preprocessing, and exploratory data analysis.
• Operate within AWS cloud services for pharmaceutical research and development.
• Ensure high code quality through linting, documentation, static analysis, and unit testing.
• Maintain source control with Git and implement CI/CD pipelines for automated deployment.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Python and Pandas.
• Strong SQL and NoSQL database management skills.
• Hands-on experience with AWS cloud services.
• Experience with Docker for containerization.
• Working knowledge of Git, PR processes, and CI/CD pipelines.
• Experience working in Agile/Scrum environments.
• Familiarity with GxP (FDA, EMA, ISO) and HIPAA compliance.
• Bachelor's degree.

Key Skills

Education

Bachelor's degree