Summary
About the Role
Key Responsibilities
- We want you to explore novel machine learning methods, extract reliable insight from Whole-slide images (WSI) and identify correlations with multiple related data sources helping us to better understand the mechanisms of toxicity and clinical translatability.
- Provide us with guidance on analysis methods, data visualization, data integration, computational infrastructure, HPC/Cloud workflows for computational pathology.
- Work with different line functions with a focus on digital pathology, secondary pharmacology and multi-modal data integration.
- Join our safety assessment teams with the responsibility of accelerating the application of computational pathology data annotation, analysis and building decision support algorithms.
- Share knowledge with colleagues and train them on ML and computational approaches including model understanding/interpretability.
- Represent us in external and intra-departmental collaborations.
- Engage with the broader data science community within Translational Medicine, with data science partners in functions across Novartis, as well as external partners.
Essential Requirements:
- PhD. with 2+ years or MS/M.E/M.tech in computer science, engineering, statistics, mathematics, or related field ideally with applications in applied biology/ toxicology
- Strong knowledge of mathematical foundations of machine learning (including deep learning), signal processing and image processing.
- Solid experience in histo(patho)logy image analysis including applications of convolutional neural networks.
Desirable Requirement:
- Practical experience in one or more field-relevant programming languages such as Python, C/C++ and R. Hands-on experience with commonly used deep learning frameworks (e.g. TensorFlow, Pytorch) and model architectures.
- Good technical experience and organizational skills to lead complex machine learning projects/initiatives. Demonstrated ability to design, implement and rollout analysis solutions.
- Experience in data visualization and in designing custom practical interactive visual data exploration interfaces for domain specialists (incl. web-based GUI).
- Extensive experience designing and scaling up/implementing large data workflows (especially image data) using a scientific computing environment on Unix/Linux (HPC, AWS/Azure).
- Shown experience in pulling and consolidating data from multiple systems, geographical locations and in varied formats, database design and management.
Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our
people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture
You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards
Commitment to Diversity and Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
