Lead Data Engineer

Job Description

Design and develop data pipelines using Python, Pandas, SQL, and NoSQL for Real-World Evidence (RWE) and Next-Generation Sequencing (NGS) data.
Perform data cleaning, preprocessing, and exploratory data analysis (EDA) on genomic and clinical datasets.
Manage and operate within AWS cloud services for pharmaceutical research and development
Ensure high code quality through linting, documentation, and static code analysis tools
Develop unit tests for high code coverage of drug discovery and development pipelines
Maintain source control using Git, including daily commits and PR processes for collaborative drug development
Utilize Docker for containerization of drug formulation and delivery applications
Implement CI/CD pipelines for automated deployment of pharmacogenomics and ADME analysis tools
Work within Agile processes, particularly in Scrum teams, for efficient drug development lifecycle management
Ensure compliance with GxP (FDA, EMA, ISO, etc regulations) and data privacy laws like HIPAA for clinical trials and post-market surveillance