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Associate Director - Safety Data Scientist

Eli Lilly

$111,000 - $162,800
Aug 25, 2025
Indianapolis, IN, US
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The purpose of the Associate Director - Safety Data Scientist is to manage and analyze complex Global Patient Safety (GPS) datasets across multiple platforms in order to understand data trends, assess business issues, and drive analytic solutions.

Requirements

  • Experience with data, reporting, and processes/systems.
  • Demonstrates experience with using data analysis and visualization tools (i.e. Excel, Business Objects, Power BI)
  • Demonstrates experience with Data Storage Technologies (e.g. SQL, Oracle, Access, etc.)
  • Demonstrates experience with Artificial Intelligence (e.g. Machine Learning, Natural Language Processing, etc.)
  • Demonstrates experience with Data Manipulation and Analysis Languages (e.g. VBA, SPARQL Python etc.)
  • Demonstrates experience with Visualization Technologies (e.g. PowerBI/Tableau/Spotfire/Advanced Excel etc.)
  • Demonstrates working knowledge and application of Computer System Quality (CSQ) requirements.

Responsibilities

  • Proactively assesses and advises GPS business on key upcoming/emerging technology trends (based on assessment of internal data/trends and external environmental changes).
  • Research new technologies and work with business, corporate analytics, and IT teams in building and deploying applications/analytics models.
  • Influences and drives GPS technology strategy through external/internal benchmarking, business process automation needs, and analytic trends.
  • Leads strategic cross-functional projects across GPS and GPS Partners for automation, technology and analytics needs.
  • Provides subject matter expertise for inspections and audits in relation to safety data, safety systems, and reporting.
  • Maintains deep technical understanding of safety process knowledge in order apply technology and automation to GPS processes.
  • Provides expertise to drive optimal data migrations/data transfer processes for GPS.

Other

  • Bachelor’s degree within a Health Science, Information Management, Mathematics, Statistics, Computer Science field or equivalent experience.
  • Demonstrates leadership in communicating effectively in written and verbal formats to various management levels.
  • Demonstrates effective collaboration with teams spanning multiple geographies to develop and deliver applications.
  • Experience in operational and workflow analysis.
  • Demonstrates ability to be a self-starter comfortable with creating structure in an ambiguous environment; possesses a proven history of being a quick learner.