Lilly Data Engineer - AADS in Indianapolis, Indiana
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 35,000 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.
How would you like a career where you get to use your best analytical skills to make a substantial difference in the well-being of people across the globe? Bring YOUR skills and talents to Lilly and our Advanced Analytics and Data Sciences organization where you’ll have the opportunity to make an impact on the lives of patients.
As an innovation driven company we 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.
As an Data Engineer at Lilly your responsibilities will include:
Partner with key business partners and work within team to identify, scope, and execute analytic efforts that leverage data to answer business questions, solve business needs, and add business value
Maintain a broad understanding of the pharmaceutical industry (from discovery to commercialization) and be fully engaged with teams, bringing an objective voice to the table, and facilitating decisions grounded in data
Collaborate with other analytics team members to review and provide feedback on the analytics work being done, and be willing to seek feedback from other team members about your own work
Streamline and prepare data for analysis through understanding of data flow and integration
Creating and driving standards for data capture, storage, and transformation.
- Master in Statistics, Computer Science, Biostatistics, Operations Research, MIS or related areas OR a Bachelors in Statistics, Computer Science, Biostatistics, Operations Research, MIS, or related areas with at least 2 years of related working experience
Proficiency with one or more relevant programming languages such as R, SQL, Python, C++ Deep knowledge of database structures
At least 4 years’ experience with text analytics and NLP processing
Strong communication skills
Lilly is a global health care leader that unites caring with discovery to make life better for people around the world. For more than a century, we have stayed true to a core set of values—excellence, integrity, and respect for people—that guide us in all we do: discovering medicines that meet real needs, improving the understanding and management of disease, and giving back to communities. We also are committed to investing in our employees and supporting a culture of well-being —through competitive pay, comprehensive employee benefit programs, and training and development resources.
We’re doing extraordinary things. Join us and you could be, too!
Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
As a condition of employment with Eli Lilly and Company and its subsidiaries in the United States and Puerto Rico, you must be fully COVID-19 vaccinated and provide proof of vaccination satisfactory to the company. If you would like to request an accommodation for medical or religious reasons, you may do so at email@example.com.
At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe!