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Sr. Principal - Clinical Data Strategist

Job in Indianapolis, Hamilton County, Indiana, 46262, USA
Listing for: BioSpace
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Job Description & How to Apply Below
Location: Indianapolis

Sr. Principal - Clinical Data Strategist

Join to apply for the Sr. Principal - Clinical Data Strategist role at Bio Space

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first.

We’re looking for people who are determined to make life better for people around the world.

At Lilly, we serve an extraordinary purpose. For more than 140 years, we have worked tirelessly to discover medicines that make life better. These discoveries start in Lilly Research Laboratories, where our scientists work to create new medicines that will help solve our world’s greatest health challenges.

Purpose

The Clinical Data Strategist is a cross functional Data and Analytics scientific leader and key partner with other Data and Analytics Leaders and cross functional staff. The Clinical Data Strategist is accountable for setting end to end clinical data strategy, driving cross functional alignment, and realizing improvements in drug development data solutions, technologies, data processes, data products and/or services for a Business Unit and Therapeutic Area.

The scope of the Clinical Data Strategist role includes elements of clinical research from early clinical development to post launch clinical research activities.

Primary Responsibilities Portfolio Delivery
  • Partner with internal and external teams to provide proactive strategic, scientific and technical input for clinical data planning and execution that enable efficient delivery of data
  • Accountable for driving project decisions related to clinical data execution options, including integrated functional sourcing, technology, automation, analytics and data collection modality
  • Ensure strong linkages exist between clinical design, execution, analytics, delivery and submission
  • Ensure data from different sources are consistent and easily consumable
  • Map collected data into predictable source/raw data
  • Collaborate with Clinical Data Associate and other Data and Analytics staff on data collection design
  • Understand inconsistencies in data and provide feedback to standards team
  • Support submission, inspection and regulatory response activities
People Management and Development
  • Contribute to an agile organization that continuously meets the needs of a changing portfolio
  • Coach up staff who demonstrate expertise in drug development, therapeutic area science, project management and all aspects of clinical data sciences and solutions
  • Demonstrate and encourage judgment-based scientific decision making, and provide leadership in clinical data strategy, standardization, integration, analytics, automation and data submission
  • Provide scientific and technical leadership, coaching, and example to the community of Data & Analytics professionals
  • Foster inclusion, innovation and promote diversity
Basic Qualification
  • Master’s degree with minimum 3 years of experience in data management (or Bachelor’s degree with 7 or more years of experience)
  • Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B or TN status) for this employment position
Other Information / Additional Preferences
  • Advanced degree (e.g. MSc, PhD) in a scientific or health care field
  • Experience in clinical drug development with expertise in clinical data management, leading asset level clinical data strategies, defining clinical data flows, determining data modalities and/or defining requirements for data integration, mapping and normalization.
  • Demonstrated ability to effectively partner/influence to deliver results
  • Demonstrated ability to understand and apply clinical data management skills, including data flow, data structures, data quality & integrity, data interchange, data mining, and data representation principle
  • Demonstrated knowledge…
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