Advisor – HCP Data Science (R5-R6)

Eli Lilly and Company • Us, IN

1d • Hybrid

About The Position

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 – HCP Data Science (R5-R6) to identify, scope, and execute analytics efforts that answer business questions, solve scientific needs, and add value. Collaborate with the analytics team to review and provide feedback on the analytics performed, and seek feedback from stakeholders. Design, implement, and develop enterprise-level marketing analytics capabilities, including data engineering, technology platforms, algorithms, and change management. Evaluate and benchmark the performance of different analytical approaches and provide guidance on metrics and best practices. Perform cutting-edge research in an area of data science, marketing analytics, and decision analytics. #LI-DNI Position requires a Ph.D. degree in Statistics, Econometrics, Engineering, or a related field, and 3 years of experience with advanced statistical models and machine learning methods, including structured and unstructured techniques and mathematical optimization. Experience must include a minimum of: 3 years of experience with R or Python developing advanced analytical models; 3 years of experience performing end-to-end analysis of data using machine learning models to predict impact and identify insights; 1 year of experience with developing automation projects; 1 year of experience with version control, such as Github; and 1 year of experience with medical, healthcare, or pharmaceutical data. Part-time telecommuting permitted. Up to 5% domestic travel required. #LI-DNI Job location: Indianapolis, IN. To apply, please visit https://jobsearch.lilly.com/ and enter job requisition number R-103506 when prompted. Alternatively, please send your resume, cover letter, and a copy of the ad to: Matthew Tenaglio, Lilly Corporate Center, Indianapolis, IN 46285. Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) 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. Lilly is proud to be an 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. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $161,220.00 per year Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Requirements

• Ph.D. degree in Statistics, Econometrics, Engineering, or a related field
• 3 years of experience with advanced statistical models and machine learning methods, including structured and unstructured techniques and mathematical optimization.
• 3 years of experience with R or Python developing advanced analytical models
• 3 years of experience performing end-to-end analysis of data using machine learning models to predict impact and identify insights
• 1 year of experience with developing automation projects
• 1 year of experience with version control, such as Github
• 1 year of experience with medical, healthcare, or pharmaceutical data

Responsibilities

• Identify, scope, and execute analytics efforts that answer business questions, solve scientific needs, and add value.
• Collaborate with the analytics team to review and provide feedback on the analytics performed, and seek feedback from stakeholders.
• Design, implement, and develop enterprise-level marketing analytics capabilities, including data engineering, technology platforms, algorithms, and change management.
• Evaluate and benchmark the performance of different analytical approaches and provide guidance on metrics and best practices.
• Perform cutting-edge research in an area of data science, marketing analytics, and decision analytics.

Benefits

• company bonus
• company-sponsored 401(k)
• pension
• vacation benefits
• medical, dental, vision and prescription drug benefits
• flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
• life insurance and death benefits
• certain time off and leave of absence benefits
• well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees