Manager, Clinical Data Software Management

BS degree in computer science, comparable program, or equivalent experience. 8+ years of overall software development experience, preferably building complex data or process management applications. Experience with SQL databases (Postgres, Snowflake, Redshift, Athena), SQL, and ETL. Experience with applications such as Excel/Macros, Quicksight and Tableau or similar applications. Experience with AWS services like Redshift and S3. Experience in manipulating, processing, and extracting value from large datasets. Knowledge of data management fundamentals and data storage principles. Experience building/operating highly available, distributed systems for data extraction, ingestion, and processing of large data sets. Proven success in communicating with users, technical teams, and senior management for requirements and data strategy. Experience providing technical leadership and mentoring engineers. Knowledge of software engineering best practices across the development lifecycle (agile, coding standards, code reviews, source management, build processes, testing, operations). Ability to work independently and as part of a team. Strong organizational and communication skills. In-depth attention to detail and a fast learner. Experience with object-oriented programming languages. Ability to apply analytical and problem-solving skills. Ability to understand complex data structures. AWS or other cloud infrastructure experience. Excellent communication skills, both written and verbal. Openness to new ideas, programming, and design paradigms. Commitment to diversity in engineering. Healthcare IT experience.

Supervise clinical data management and data software engineering staff. Oversee daily operations and serve as a subject matter expert in cross-functional meetings. Translate technical plans into operational processes and guide team execution. Oversee design alternatives, architectural proposals, code reviews, and verification. Write software specifications and implement software components. Analyze and fix defects in applications, services, solutions, data pipelines, or reports. Create unit tests and coordinate testing with teams. Write SQL, Python, and ETL code for clinical and genomic data. Leverage AWS services for scalable data pipelines, storage, and workflows. Create data marts, perform data transformation, and maintain/optimize Airflow. Perform code reviews and implement solutions. Implement department/organization policies, procedures, and best practices. Conduct performance 1:1s, evaluations, and provide feedback. Support hiring and onboarding new hires. Build and oversee automated solutions for department KPIs. Build and maintain working relationships with stakeholders. Other duties as assigned.