Senior Clinical Data Engineer

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. As a Senior Clinical Data Engineer, you will play a pivotal role in designing, implementing and managing our data solutions and advanced analytics, collaborating with clinical teams and driving better data solutions.

Responsibilities:

• Bridge the gap of clinical and technical for the Data Enablement team as we interface and meet the goals of various clinical teams within US Oncology
• Collaborate with subject matter experts, department leaders and stakeholders, leveraging expertise to help drive better solutions
• Drives development of ETL code, metadata definitions and models, queries and reports, schedules, work processes and maintenance procedures
• Basic data set analytics to support review of data quality, understanding of KPIs, and associations with other 3rd party data sets
• Task automation with a focus on limiting risk by limiting manual activities
• Leverage clinical subject matter expertise to enhance data sets
• Self-start who can work independently and prioritize development and enhancement requests
• Assist with various documentation tasks supporting data solutions
• Ensures compliance with regulatory requirements for data transmission, storage, and data access including documentation, testing, and remediation

Requirements:

• Degree or equivalent and typically requires 7+ years of relevant experience
• Bachelor's degree in Computer Science (or related) with clinical work experience or Pharmaceutical Sciences (or related) with data analytics work experience
• 7+ years of experience in data analytics, ETL development, computer science or related field
• 7+ years of experience working with clinical data
• 7+ years' experience in database systems
• Experience with modern database systems such as Snowflake or Databricks
• Experience in dashboard creation in systems like Tableau and PowerBI
• Experience working with clinical data sets such as claims data, in-office dispensing data, or EHR data
• Must be comfortable and proficient working with large and/or complex databases
• Ability to manage and prioritize many diverse technical tasks
• Self-starter with proven care for managing sensitive data assets
• Ability to interface with both technical and business resources
• Ability to translate clinical requirements into technical solutions
• Up to 10% travel
• Experience with Databricks a plus
• Knowledge of HIPAA, deidentification or other health informatics areas a plus