Senior Clinical Data Engineer at McKesson designing and implementing data solutions and analytics. Collaborating with clinical teams and technical experts for effective data management with scalable solutions.
Responsibilities
play a pivotal role in designing, implementing and managing our data solutions and advanced analytics
analyzing data, designing solutions
partnering with other data experts to architect complex solutions
implementing data systems and development of scalable solutions that support business goals
bridge the gap of clinical and technical for the Data Enablement team
collaborate with subject matter experts, department leaders and stakeholders
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
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
7+ years of relevant experience
Bachelor’s degree in Computer Science or related field with clinical work experience or Pharmaceutical Sciences 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
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