| Novartis is thrilled to open applications for our Data Science Innovation Fellowship. This applied 3-year research program is set to change the way we approach drug discovery, offering fellows a unique chance to train in data science and AI for biomedical research. As a talented fellow, you will learn to apply your computational skills to make a difference for patients and reimagine medicine at Novartis.
Key responsibilities:
– Collaborate with AI scientists, data architects, biologists and cardiologists on applications of AI to the cardiovascular domain.
– Engage with diverse stakeholders in non-clinical as well as clinical settings.
– Develop multimodal AI models to analyze physiological signals and human genomic data to identify digital and biological biomarkers.
– Leverage proprietary data to develop and refine AI algorithms.
– Keep ahead of the latest developments in the field and bring curious and critical thinking to the projects.
Role requirements:
– PhD in AI/ML, computer science, mathematics, statistics, engineering or a related field with a strong focus on multimodal deep learning (PhD students in the last year of their thesis work, are eligible to apply).
– Proven experience in developing state-of-the-art deep learning algorithms.
– Strong programming experience in Python and proficiency in at least one main deep learning framework (e.g., PyTorch, TensorFlow, etc.).
– Familiarity with cloud/high-performance computing environments and version controlling.
– Strong publication record or other scientific achievements (i.e. awards, patents, grants).
– Ability to clearly communicate technical concepts to a variety of audiences, including scientists, engineers, and subject matter experts from other domains.
– Passion for research and boundless curiosity #DSIF
How to apply:
Please submit your CV and cover letter by July 29th for consideration. Please ensure that your cover letter explains how this training program will contribute to achieving your career goals. |
