Data Science Innovation Fellowship Opportunity at Novartis

Are you passionate about transforming the future of drug discovery? We are excited to announce the opening of applications for our Data Science Innovation Fellowship, an applied 3-year research program aimed at revolutionizing the biomedical field through data science and AI.

Program Overview

This unique fellowship program offers talented individuals the opportunity to apply their computational skills in the realm of biomedical research. You will work collaboratively within a multi-disciplinary team, gaining experience in Data Science and AI (DS&AI) for drug discovery. Over 300 data scientists globally will support your innovation efforts as you employ cutting-edge data methodologies to impact patient outcomes and reshape medicine at Novartis.

As a fellow, you will have access to an unparalleled platform to work on large-scale, real-world biomedical data, which is rarely available in academia. The program includes:

• Mentorship from seasoned professionals.
• A tailored training program with a mini-sabbatical at other Novartis departments.
• Opportunities to attend renowned conferences and workshops.

Our Biomedical Research department hosts a vibrant postdoctoral community, offering monthly seminars and an annual Research Day Symposium focused on your professional growth.

Key Responsibilities

As a Data Science Innovation Fellow, you will:

• Leverage proprietary data sets to advance AI models for protein-ligand structure predictions.
• Design and perform in silico experiments to guide wet lab research and enhance prediction models.
• Collaborate with cross-functional teams to apply the latest structural AI models to real-world drug discovery projects.
• Investigate and present new AI methods and their applications to drug discovery workflows.

Required Qualifications

Applicants should meet the following criteria:

• PhD in Computational Biology, Cheminformatics, Structural Biology, or a related field (PhD students in their final year are also eligible).
• Extensive computational experience, particularly in protein modeling, drug discovery, or small molecule design.
• Strong expertise in structural AI methods (e.g., Alphafold, Rosetta Fold, Openfold).
• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Jax) in high performance or cloud computing environments (e.g., AWS).
• Experience with protein-ligand interaction prediction and drug discovery workflows.
• A proven track record of scientific publications or achievements (e.g., awards, patents, grants).
• Excellent analytical, communication, presentation, and organizational skills.
• A passion for research and an insatiable curiosity.

How to Apply

To apply, please submit your CV and cover letter by July 15. In your cover letter, be sure to articulate how this training program aligns with your career objectives. Use the hashtag #DSIF when submitting your application.

This is your chance to join Novartis as a Data Science Innovation Fellow in Structural Bioinformatics and be at the forefront of data science and AI, shaping the future of drug discovery. Start date is Winter 2024.

Seize this opportunity to make a significant impact on human health and advance your career with Novartis!