What are the responsibilities and job description for the Advisor - Information Technology - Analytics and Data Sciences position at Eli Lilly and Company?
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. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Position Overview
The Statistician/Data Science role is responsible for technical contributions and consulting in the fields of causal inference, statistics, and machine learning for LillyUSA.
The Statistician/Data Scientist will be part of a growing and dynamic team of analytics professionals whose main goal is to help our business partners achieve their goals through data analytics enablement. You will use your deep understanding of causal inference, statistics, and AI/ML to develop innovative analytics solutions driving business impact across LillyUSA. The position will be responsible for partnering and collaborating across a wide group of cross functional partners. This analytics professional will be responsible for ensuring business decisions are backed by data driven insights and recommendations from analytics.
The position will report to the Sr. Director - Business Insights & Analytics (BI&A) HCP Data Science.
Key Objectives
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
$142,500 - $209,000
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
At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Position Overview
The Statistician/Data Science role is responsible for technical contributions and consulting in the fields of causal inference, statistics, and machine learning for LillyUSA.
The Statistician/Data Scientist will be part of a growing and dynamic team of analytics professionals whose main goal is to help our business partners achieve their goals through data analytics enablement. You will use your deep understanding of causal inference, statistics, and AI/ML to develop innovative analytics solutions driving business impact across LillyUSA. The position will be responsible for partnering and collaborating across a wide group of cross functional partners. This analytics professional will be responsible for ensuring business decisions are backed by data driven insights and recommendations from analytics.
The position will report to the Sr. Director - Business Insights & Analytics (BI&A) HCP Data Science.
Key Objectives
- Be an inspiring leader in data and advanced analytics aligned with the critical objectives of LillyUSA.
- Effectively answer data science questions, build ML pipelines, and integrate results that align to improving patient reach and outcomes. Align advanced AI/ML techniques with stakeholder objectives and goals.
- Build and maintain testing frameworks and embed a testing culture that rapidly tests, measures, and iterates. Promote and plan designed variance (prospective designed experiments, A/B tests, natural or business case variance) to test engagement impact and outcomes.
- Provide input on patient outcomes/impact, biases, and trade-offs between types of models and tools and support analytics team in validating assumptions and interpreting models and outputs
- Translate analytics outcomes into business insights to guide business decisions.
- Articulate analytics value proposition to stakeholders and identify novel analytics use case opportunities to expand the use of analytics.
- Foster analytics innovation for LillyUSA by sourcing innovative analytics concepts from external partners, other functions in the organization, etc.
- Stay current with latest statistics and AI/ML methodologies.
- PhD in Statistics, Economics, or equivalent quant degree
- Master’s with 3 additional years of full-time hands-on experience in Statistics/Data Science.
- Strong analytical skills, coupled with business acumen, and an ability to think strategically in an ambiguous environment.
- Proficiency with relevant programming languages (R and/or Python).
- No CPP or GPP violations over the most recent two-year period
- Expertise in causal inference or designed experiments.
- Ability to use statistics and machine learning techniques to solve real-world business problems.
- Experience with healthcare data is a plus.
- High level of motivation and a strong desire to find creative solutions to challenging situations.
- Demonstrated ability to translate and communicate advanced analytics concepts to a variety of stakeholders.
- Excellent prioritization skills with attention to detail.
- Ability to work across teams and build Team Lilly culture.
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
$142,500 - $209,000
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
Salary : $142,500 - $209,000
