Summary
About the Role
- Hands-on role developing and implementing innovative AI methods (use of an AI model on a specific dataset for a specific purpose) with minimal supervision as well as independently to deliver on highly visible projects
- Advanced development skills in Python and the ability to understand and internalizing AI models from published papers and repositories
- Train, test, and evaluate AI models on realistic internal and external data, and present results in an organized manner for team evaluation and input
- Work effectively within a cross-functional team for AI model development and implementation
- Develop and deliver various biological and chemical insights from applying AI models to a broader community.
- Stay up to date in the latest developments of AI methods through self-learning and using on-the-job opportunities
- Know and manage run time requirements of AI models, visualizations, and cloud-based computation to increase efficiency and quality of AI approaches
- Develop new AI models from scratch using TensorFlow or PyTorch, understanding and modifying learning objectives and training methods of the models
Essential Requirements:
- Extensive classroom learning as well as on-the-job, hands-on experience of advanced AI models, selecting and applying suitable AI models for a given purpose.
- Experience with AI is expected not just at the level of running the code but deep understanding models, their purpose, and the ability to interpret functioning of a model on given data
- Demonstrable deep experience in one or more of specific AI focus areas we are hiring: NLP and Generative Models (LLMs), and AI for medicinal chemistry and design of biological medicines
- Strong skills in Python, relevant Deep Learning frameworks such Transformers, advanced AI model training methods
- Experience with high performance computing systems and cloud-based services involving large and diverse biomedical data
- Running AI model using GPU is a must and the ability to scale a model to multi-GPUs is big plus
- Strong communication skills to explain technical details, decisions, consequences, and results to senior researchers and non-data science communities
- Deep understanding of biological and chemical datasets, knowledge repositories in the areas such Gene Ontology
- A humble and curious mind that can continuously learn while recognizing and applying internal resources to the overall vision and purpose of the team
Desirable Requirement:
- Bachelor’s degree (master’s or PhD is highly desirable) in a computational field including, but not limited to: AI, Computer Science, Applied Mathematics, Computational Biology/Chemistry, Engineering, Statistics, and Physics
- 3 - 5 years of deep, hands-on experience working on AI projects and either clear evidence of significant projects personally developed and delivered and/or publication track record
- 3 - 5 years of experience in working with large scale, realistic data sets and analyzing results towards specific business/scientific outcomes
- Experience in pharma, biotech, or healthcare is a big plus but strong tech background with the willingness to adapt to pharma is equally acceptable.
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
