Clinical Data Manager (P3)

Initial Therapeutics, Inc.

Indianapolis (IN)

Hybrid

USD 154,306 - 177,451

Full time

14 days+

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Benefits offered by this job

401(k) and pension
Comprehensive health benefits
Flexible spending accounts
Employee well-being programs

Job summary

Initial Therapeutics, Inc. is seeking a Clinical Data Manager in Indianapolis to oversee the clinical data sciences for clinical studies. The role requires ensuring the delivery and quality of data management while collaborating with study stakeholders.

The ideal candidate will have a strong background in data management, analytical skills, and experience with various data tools and programming languages. A comprehensive benefits package and competitive salary are offered.

Qualifications

  • 3 years of clinical data management experience including statistical analysis.
  • Experience developing solutions for data-related clinical development challenges.
  • Knowledge of data flow from participant to analysis.

Responsibilities

  • Accountable for end-to-end clinical data sciences delivery.
  • Build and maintain clinical databases; manage data acquisition and storage.
  • Monitor projects ensuring quality oversight of data management providers.

Skills

Statistical analysis
Data analytics
Machine learning
Deep learning algorithms
AWS
Azure
Python
SAS
PowerBI
Tableau

Education

Bachelor’s degree in Data Science or related STEM field
Master’s degree in a related STEM field

Tools

R
P-SQL
T-SQL

Job description

Overview

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life‑changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Role Summary

Eli Lilly and Company seeks a Clinical Data Manager (P3) to be accountable for the end‑to‑end clinical data sciences delivery for clinical studies, including clinical database build, data acquisition, storage, retrieval, and exchange. Execute project monitoring and quality oversight of sourcing providers for data management activities. Represent the clinical data sciences function and collaborate with and manage key study stakeholders in achieving study milestones and deliverables. Provide clinical data science leadership and ownership. Ensure that the clinical data science deliverables meet scope, cost, and time objectives. Continually seek and implement opportunities for process improvements, automation to drive efficiencies, reduction of cycle times, and improvements in quality.

Responsibilities
  • Accountable for end‑to‑end clinical data sciences delivery for clinical studies.
  • Build and maintain clinical databases; manage data acquisition, storage, retrieval, and exchange.
  • Monitor projects and ensure quality oversight of data management providers.
  • Collaborate with key study stakeholders to achieve milestones and deliverables.
  • Lead and own clinical data science initiatives, ensuring scope, cost, and time objectives are met.
  • Identify and implement process improvements, automation, and quality enhancements.
Qualifications
  • Bachelor’s degree in Data Science, Electronic Engineering, Computer Science, or related STEM field and 3 years of clinical data management experience, including statistical analysis and data analytics; OR Master’s degree in a related STEM field and 1 year of experience.
  • Minimum of 1 year developing solutions for data‑related clinical development challenges.
  • Minimum of 1 year articulating flow of data from participant to analysis and applying this knowledge to data solutions.
  • Minimum of 1 year developing analytics products using machine learning and deep learning algorithms.
  • Minimum of 1 year experience with AWS, Azure, Tableau, PowerBI, Python, SAS, R, Shiny, P‑SQL, and T‑SQL for DBMS.
  • Part‑time telecommuting may be permitted.
Job Location

Indianapolis, IN.

Compensation and Benefits

Annual salary: $154,306.00 - $177,451.90. Full‑time employees are eligible for company bonus and a comprehensive benefits program including 401(k), pension, vacation, medical, dental, vision, prescription drug coverage, flexible spending accounts, life insurance, leave benefits, and employee well‑being programs. Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs at its sole discretion.

Equal Employment Opportunity

Lilly is a proud EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Employee Resource Groups
  • Africa, Middle East, Central Asia (AMECA)
  • Black Employees at Lilly (BE@Lilly)
  • Chinese Culture Network (CCN)
  • EnAble
  • Evolve
  • Lilly Indian Network (LIN)
  • Organization of Latinx at Lilly (OLA)
  • Pride (LGBTQ+ Allies)
  • Veterans Leadership Network (VLN)
  • Women’s Initiative for Leading at Lilly (WILL)
Accommodations

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce. If you require an accommodation to submit a resume for a position at Lilly, please complete the accommodation request form for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Application Instructions

To apply, enter job requisition number R-107958 on https://jobsearch.lilly.com/ or send your resume, cover letter, and a copy of the ad to Eli Lilly and Company, Lilly Corporate Center, Drop Code 1093, Indianapolis, IN 46285.

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