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Advisor – Advance Analytics

Employer
Eli Lilly and Company
Location
Indianapolis, Indiana
Start date
Nov 8, 2023

Job Details

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.

Eli Lilly and Company seeks an Advisor – Advance Analytics to perform advanced statistical analysis to solve our global business complex problems and to transform the way our company discovers and develops new treatments, identify personalized treatments regiments, drive efficiency in our operations, and optimize commercialization of our new products. Partner with key business partners and work within cross-functional teams to identify, scope, and execute analytics efforts that answer business questions, solve business needs, and add business value. Maintain a broad understanding of questions and be fully engaged with teams, bringing an objective voice to the table, and facilitating decision grounded in data. Collaborate with other analytics team members to review and provide feedback on the analytics work being done and seek feedback from other team members about your own work. Stay current with respect to machine learning, statistical, mathematical and informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected. #LI-DNI

This position requires a PhD in Statistics or related quantitative field, and 3 years of work experience with Data Science, Applied Statistics and Machine Learning Algorithms. Experience must include a minimum of: 3 years’ experience with programming in Python, R, C++, SQL, and Matlab; 3 years’ research experience with functional/longitudinal data, geospatial data, remote sensing data, change detection, and data imputation; 3 years’ experience with advanced statistical methods: multivariate and univariate functional data analysis, dense and sparse functional principal component analysis, kernel smoothing methods, time-varying coefficient model, longitudinal data imputation, kriging methods, change detection in mean functions, and bootstrap sampling; 2 years’ experience with developing and implementing machine learning, deep learning algorithms for real-world problems, familiar with tree-based methods and regularization methods in both theoretical and application levels; and experience with object-oriented programming, data structures and algorithm, space and time complexity. This position requires domestic travel approximately 10-20% of work week. Telecommuting is permitted.

Job Location: Indianapolis, IN. To apply, please visit https://jobsearch.lilly.com/ and enter job requisition number R-55994 when prompted. Alternatively, please send your resume, cover letter, and a copy of the ad to: Beth L. Berry, Lilly Corporate Center, Indianapolis, IN 46285.

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.

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.

Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.

#WeAreLilly

Company

Science has been our calling from the beginning. Colonel Eli Lilly founded the company in 1876 and charged employees to “take what you find here and make it better and better.” More than 147 years later, we remain committed to his vision through every aspect of our business and the people we serve, starting with discovering the best treatments for those who take our medicines and extending to health care professionals, employees and the communities in which we live. Moreover, you can also count on the team at Lilly to be incredibly civic-minded, supporting our communities through philanthropy, volunteerism, and a creative and innovative can-do spirit. 

Company info
Location
893 S Delaware St
Indianapolis
Indiana
46285
United States

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