AI Scientist - Simulation & Forecasting

BioSpace; Indianapolis (IN); Hybrid; USD 151,500 - 244,200; Full time

Benefits offered by this job

Comprehensive benefit program

401(k) and pension

Flexible benefits

Job summary

A global healthcare leader is seeking an AI Scientist in Indianapolis to analyze complex data and develop simulation models. Candidates must have a Ph.D. or MS with relevant experience, and proficiency in programming languages like Python or R. The position requires excellent communication skills and experience with deep learning. This hybrid role will require relocation, with anticipated compensation ranging from $151,500 to $244,200, along with comprehensive benefits.

Qualifications

• Ph.D. in Computer Science or quantitative related field.
• MS with 5 years of experience in simulation models.
• Proficiency in Python or R programming.
• Experience with machine learning and simulation.

Responsibilities

• Analyze complex data sets and develop simulation models.
• Develop scenarios for business decision-making.
• Collaborate with cross-functional teams.
• Ensure data quality and accuracy.

Skills

Simulation and AI problem-solving

Deep learning algorithms

Excellent communication skills

Programming in Python or R

Education

Ph.D. in Computer Science or related field

MS in Computer Science with 5 years experience

Tools

Anylogic simulation platform

Job description

Overview

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 put people first and strive to bring our best to the work we do. We’re looking for people who are determined to make life better for people around the world.

How You'll Succeed

As an AI Scientist in Indianapolis, IN, you will analyze complex data sets, develop simulation models, leverage foundation models, and identify insights that can drive business decisions. You will work closely with cross-functional teams across the enterprise to understand business problems, develop hypotheses, and test those hypotheses with data.

What You Will Do

• Frame and solve complex business problems with simulation and AI
• Develop and implement scenario planning models
• Communicate insights and recommendations to stakeholders
• Collaborate with cross-functional teams
• Stay up-to-date with emerging trends and technologies in simulation and AI
• Ensure data quality and accuracy

Your Basic Requirements

• Ph.D. in Computer Science, Applied Mathematics focusing on Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering, or a quantitative related field
• Or MS in Computer Science, Applied Mathematics focusing on Numerical Analysis, High Performance Computing, Operations Research, Physics, Engineering, or a quantitative related field with at least 5 years of related working experience developing simulation models and leveraging foundation models or forecasting
• Experience with simulation and machine learning
• Proficiency in programming languages such as Python or R

What You Should Bring

• Experience with deep learning algorithms and reinforcement learning
• Excellent communication and presentation skills
• People management or consulting experience
• Experience with simulation platforms like Anylogic
• Experience in consulting, bio-tech, finance, or pharmaceutical

Other

• Must be willing to relocate.
• Schedule will be hybrid (3 days onsite at the Lilly Corporate Center)

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 $151,500 - $244,200. 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.

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