Data Scientist - Computer Vision

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.

Business Insights & Analytics (BI&A) – Data Scientist (Computer Vision)

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 39,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease. We are looking for people who are determined to make life better for people around the world. This team is part of the BI&A - Commercial Services organization and works very closely with business analytics team based in India.

As a Computer Vision Data Scientist, you will be part of a growing and dynamic team of business analysts, statisticians, and data/ML engineers using data and analytics to help Lilly patients. The position will be pivotal in designing, implementing, and deploying computer vision algorithms and systems that will drive innovation within our organization. The position will require expertise in computer vision algorithms for various applications, including object detection, image segmentation, and image recognition. You will implement deep learning techniques, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), and transformer-based models to solve complex computer vision problems. The position will report to the Sr. Director - Business Insights & Analytics (BI&A) Consumer Data Science.

Basic Qualifications

• PhD + 1-3 years’ experience in Statistics, Computer Science, Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, Machine Learning, and/or Computer Vision research and development.

Additional Preferences

• Has a good understanding of computer vision techniques and algorithms, such as image recognition, object detection, and video processing, and experience with computer vision libraries. e.g., OpenCV, TensorFlow, PyTorch, Keras, CT Imaging, TensorRT, ResNet, Inception VGG, Efficient Net etc.
• Has strong expertise in areas such as Machine Learning, Deep Learning, Large Language Models, Recurrent and Convolutional Neural Networks, Generative Adversarial Networks, Graph Neural Networks, Causal Inference, or similar frameworks for developing machine learning models.
• Proficient in Programming Languages including Python, R, C++, Java, or similar languages commonly used in machine learning and computer vision.
• Contribution to peer-reviewed journals, conferences, public domain codebases and/or significant GitHub portfolio to demonstrate mastery and impact.
• Ability to manage and process large datasets, including data cleaning, augmentation, and annotation.
• Ability to think strategically and work independently in a dynamic and ambiguous environment.
• Experience using Github or other tools for technical collaboration.
• Ability to work across teams and build Team Lilly culture.
• Publish novel findings in scientific workshops, conferences, and journals.

Responsibilities

• Along the way, you will investigate concepts from their fundamentals (theoretical and empirical) to their prototype and creation as new solutions that change the marketing landscape.
• You will develop algorithms & systems and act as technical consultant and thought leader for computer vision projects.
• Develop data science and ML solutions for the application of Artificial Intelligence to marketing and AdTech programs, ultimately impacting the product and service offerings.
• Employ software libraries, tools, and practices to implement efficient, scalable, and reusable solutions.
• Collaborate with Eli Lilly’s other AI / CV experts to define and pursue strategic advancement of new technologies.
• Develop in technical and leadership skills in preparation for future work.

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.