Head of Algorithms- Chronic Disease Management

About Us:

How many companies can say they've been in business for over 179 years?!

Here at ZEISS, we certainly can! As the pioneers of science, ZEISS handles ever-changing environments in a fast-paced world, meeting it with cutting edge of technologies and continuous advancements.

ZEISS believes that innovation and technology are the key to a sustainable future and solutions for global change.

We have a diverse range of portfolios throughout the ZEISS family in segments like Industrial Quality & Research, Medical Technology, Consumer Markets and Semiconductor Manufacturing Technology.

We are a global company with over 46,000 employees and have over 4,000 in the US and Canada alone! Make a difference, come join the team!

Location/Region: This position is located in Dublin, CA

What's the role?

This role will drive the development and deployment of advanced algorithms for ophthalmic imaging and chronic disease management, including AI-powered diagnostics, predictive analytics, and multimodal data fusion.

You will lead a team of algorithm engineers and data scientists, collaborate with cross-functional stakeholders, and shape the future of ZEISS's AI strategy in ophthalmology.

This position reports directly to the Head of R&D - Chronic Disease Management and plays a critical role in defining the technical roadmap and innovation strategy for the division.

You will also work closely with the Advanced Development of the Strategic Business Unit Ophthalmology (OPT) and the Digital Business Unit of Carl Zeiss Meditec (DBU) to align long-term research initiatives with product development and strategic innovation goals.

Sound Interesting?

Here's what you'll do:

Algorithm Development & Innovation


* Lead the design and implementation of algorithms across key areas:
+ Image segmentation (e.g., retinal layers, optic disc, macula)
+ Disease detection and classification (e.g., glaucoma, AMD, diabetic retinopathy)
+ Progression prediction models for chronic conditions
+ Multimodal fusion algorithms integrating OCT, fundus, and angiography data
+ Oculomics-based systemic disease prediction (e.g., cardiovascular, neurodegenerative)

AI/ML Strategy & Execution


* Define and execute the AI strategy for chronic disease management within ophthalmology.


* Apply advanced machine learning techniques:
+ Deep learning (CNNs, transformers)
+ Self-supervised and semi-supervised learning
+ Federated learning for privacy-preserving model training
+ Explainable AI (XAI) for clinical interpretability


* Ensure responsible AI practices, including bias mitigation, transparency, and clinical safety.


* Utilize frameworks such as TensorFlow, PyTorch, ONNX, and OpenCV.


* Collaborate on AI deployment pipelines, model optimization, and real-time inference on embedded platforms.

Leadership & Team Management


* Build, mentor, and lead a high-performing team of...