Intern - Advanced Intelligence and Research

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.

About Lilly:

At Lilly, we unite caring with discovery to make life better for people worldwide. We are one of the Top 10 most valued companies of the world, and global healthcare leader headquartered in Indianapolis, Indiana. Our 44,000 employees 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 globe.
 

We have pioneered the development of several significant drugs and treatments over the years – and strong pipeline including being the first to mass produce insulin, penicillin, tuberculosis (MDR-TB) and polio vaccines.

At Lilly, our research and product-oriented mindset and focus on Accelerate, Reach and Scale using new-gen technologies helps us redefine what is possible through technology in pharma. Impact driven growth combined with a commitment to make a real difference in lives makes Lilly the place of choice for the best talent to come together and be at the forefront of innovation and acceleration.
 

Join us to make significant difference in the well-being of people worldwide.
 

Job Title: Data Science

Job Level: Internship - Data - Advanced Analytics

Experience Level: Student pursuing B.Tech./Master’s/PhD in a related field. Qualification and Eligibility criteria: B.Tech./Master’s/PhD in Computer Vision and/or Medical Imaging

Location: India – Bengaluru

Purpose of the Role:

The Computer Vision Intern (Advanced Analytics) collaborates with business and technical stakeholders to prototype, experiment, and evaluate state-of-the-art machine learning, deep learning, optimization, and computer vision approaches. The intern will work on real-world problems such as medical imaging and vision-based inspection, and contribute to reproducible research artifacts (code, experiments, documentation) under guidance from the team.

Key Responsibilities:

1. Apply traditional and advanced computer vision algorithms to solve complex challenges through data exploration, model prototyping, and evaluation.

2. Handle imbalanced, noisy, and high-dimensional datasets, ensuring robust experimental results and well-documented data preprocessing pipelines.

3. Partner with cross-functional teams to understand requirements and translate them into CV experiments in medical imaging and/or manufacturing vision-based inspection.

4. Support configuration and integration of imaging systems (cameras/sensors) in collaboration with engineers, as applicable to the project.

5. Build and optimize models for scenarios such as real-time inference and batch processing, including benchmarking latency/throughput and accuracy trade-offs.

6. Contribute to the model lifecycle by packaging experiments, writing clean inference scripts/APIs, and supporting deployment handoff (as needed) under guidance from the team.

7. Leverage machine learning, optimization, and deep learning techniques to improve detection/segmentation performance and reduce manual review effort for selected use cases.

8. Use version control (e.g., Git) and Docker to ensure reproducible experiments; exposure to CI/CD workflows is a plus.

9. Leverage image annotation tools and image registration methods (especially for medical imaging workflows) for domain-specific challenges.

10. Collaborate with the team and communicate results through clear experiment reports, demos, and documentation.

Essential Tech knowledge:

1. Proficiency in traditional algorithms (e.g., edge detection, feature extraction) and modern deep learning approaches (e.g., CNNs, object detection, and segmentation).

2. Experience with image processing libraries such as OpenCV, PIL, and scikit-image.

3. Hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras.

4. Expertise in vision-based architectures like LeNet, ResNet, YOLO, UNet, EfficientNet, and SAM.

5. Familiarity with optimization techniques, including model quantization, pruning, and deploying real-time inference on edge devices.

6. Knowledge of various imaging modalities (RGB, thermal, histology, and microscopic) acquired from domains like manufacturing, medical imaging, finance, and robotics.

7. Familiarity with specialized medical imaging libraries (e.g., MONAI, ITK/Simple ITK) is preferred.

8. Experience with image annotation tools and image registration methods.

Desirable (Optional) Tech knowledge:

1. Knowledge of 3D point cloud processing, essential for LiDAR and object reconstruction tasks.

2. Advanced proficiency in Python; experience with C++ is a plus.

3. Familiarity with scalable software development practices and integration of hardware systems into software solutions.

4. Familiarity with tools for edge deployments (e.g., NVIDIA Jetson).

Essential Behavioral Skills:

1. Strong communication and critical thinking abilities, coupled with structured problem-solving and attention to detail.

2. Exceptional interpersonal skills, with a talent for building professional networks and collaborating within globally distributed teams.

3. A commitment to continuous learning, shared knowledge, and the adoption of industry best practices.

4. Excellent self-management and adaptability to thrive in ambiguous situation

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 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.