Principal Data Scientist - Computer Vision

7-10 years

Not Disclosed

Bangalore

10 Dec. 17, 2024

Job Description

Job Type: Full Time Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Job Title: Principal Scientist I/II - Data Science (Advanced Analytics)
Location: Bengaluru, India
Experience Level: 7 to 10 Years
Qualification: B.Tech./Masters/PhD. in Computer Vision or related field

Company Overview:
At Lilly, we unite caring with discovery to make life better for people around the world. As a global healthcare leader headquartered in Indianapolis, Indiana, Lilly has pioneered the development of many breakthrough treatments. We are one of the top 10 most valued companies globally, with 44,000 employees working to create life-changing medicines and improve disease management. Through our strong focus on research and technology, we are at the forefront of innovation, aiming to accelerate, reach, and scale advancements in the pharmaceutical industry. We invite individuals who are passionate about making a difference to join us on our journey.

About the Role:
The Principal Scientist I/II - Data Science (Advanced Analytics) will collaborate directly with business stakeholders to design and deploy state-of-the-art machine learning, deep learning, optimization, and computer vision algorithms. The role involves solving complex challenges in various domains such as manufacturing inspections, medical imaging, robotics, and finance. A proactive approach in developing and deploying algorithms is crucial for impactful results in diverse environments, including labs, manufacturing floors, and edge computing systems.

Key Responsibilities:

Develop and apply traditional and advanced computer vision algorithms to address complex problems.
Handle imbalanced, noisy, and high-dimensional datasets to ensure robust and scalable outcomes.
Partner with cross-functional teams in sectors like manufacturing, medical imaging, robotics vision, and finance.
Integrate imaging systems, including cameras and sensors, across diverse settings such as labs and robotics systems.
Build and optimize models for real-time inference, batch processing, and edge computing scenarios.
Oversee the end-to-end lifecycle of model development, deployment, and performance monitoring.
Use machine learning and deep learning techniques to enhance manufacturing processes, reducing downtime and improving line capacity.
Employ CI/CD workflows, version control systems (e.g., Git), and Docker for efficient research processes.
Leverage expertise in image annotation tools, image registration, and domain-specific challenges.
Mentor team members and foster collaboration within cross-functional teams to drive innovation.

Technical Knowledge Required:

Core Software Development and Programming:
- Advanced proficiency in Python, with C++ knowledge as a plus.
- Familiarity with scalable software development practices and hardware system integration.
Core Computer Vision Expertise:
- Proficiency in both traditional computer vision algorithms (e.g., edge detection, feature extraction) and modern deep learning approaches (e.g., CNNs, object detection, segmentation).
- Experience with OpenCV, PIL, scikit-image, and 3D point cloud processing.
Deep Learning and Machine Learning:
- Hands-on experience with PyTorch, TensorFlow, and Keras.
- Expertise in vision-based architectures like LeNet, ResNet, YOLO, UNet, EfficientNet, and SAM.
- Knowledge of real-time inference techniques, including model quantization and pruning.
Data Acquisition and Image Handling:
- Experience with different imaging modalities (e.g., RGB, thermal, histology, microscopic).
- Familiarity with specialized medical imaging libraries such as MONAI, ITK/Simple ITK is preferred.
Toolsets and Domain-Specific Knowledge:
- Expertise in image annotation tools, image registration, and edge deployment systems (e.g., NVIDIA Jetson).

Essential Behavioral Skills:

Strong communication, leadership, and critical thinking abilities, with effective decision-making skills.
Exceptional interpersonal skills, with a talent for building networks and collaborating within globally distributed teams.
A commitment to continuous learning and the adoption of best practices.
Excellent self-management skills, with the ability to thrive in ambiguous situations.

Additional Information:

Location: Bengaluru, India
Travel: Minimal (less than 10%)

Equal Opportunity Employer:
Lilly is committed to providing equal opportunities for individuals with disabilities. If you require accommodation during the application process, please visit the Workplace Accommodation Request Form. Lilly does not discriminate based on age, race, religion, gender, sexual orientation, gender identity, national origin, veteran status, disability, or any other legally protected status.

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Principal Data Scientist - Computer Vision

Job Description

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