Data Science & AI Innovation Postdoctoral Fellow Foundational & Multimodal Proteochemometrics models

Das ist der Job

Industrial large‑scale screening technologies such as DNA‑encoded libraries generate larger volumes of dense data.

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Postdoctoral Research Fellows benefit from: Guidance from accomplished scientific leaders and subject‑matter experts Access to advanced technologies, platforms, and research capabilities Collaboration across disciplines and organizational boundaries A global and diverse community of postdoctoral fellows Dedicated programming designed to help fellows thrive throughout their careers Personalized experiential learning opportunities through a Postdoc Practicum that empowers fellows to explore new scientific domains, build cross‑functional expertise, and expand their impact beyond their primary research project Opportunities to present research, publish in leading journals, and build an international scientific network Key Responsibilities Train and optimize foundational structure‑affinity models on high‑volume experimental data such as DNA‑encoded library screening data Fine‑tune models on high‑quality low‑volume affinity data Evaluate the performance of the models with and without fine‑tuning and compare it with state‑of‑the‑art models Apply and evaluate promising model architectures prospectively in small‑molecule hit‑finding projects Evaluate the performance of the models to predict off‑targets for pharmacology safety assessments Essential Requirements PhD (or equivalent doctoral degree) in a relevant scientific discipline completed prior to the fellowship start date Program intended for scientists immediately following their PhD training (graduated in 2026) Demonstrated record of scientific achievement (publications, presentations, patents, or equivalent) Strong commitment to learning, innovation, and professional development Hands‑on experience with cheminformatics workflows, familiarity with descriptors and machine learning and deep learning in the context of cheminformatics Expertise in Linux high‑performance computing and cloud environments Expertise in Python scientific and deep‑learning stacks, familiarity with best practices in computational reproducible research (version control, testing, documentation) Experience in training foundational models and/or processing huge datasets Demonstrated ability to work as part of an interdisciplinary team (e.g., biologists, chemists, data scientists), with proactive and results‑oriented communication skills Dedication to promoting mutual respect, empathy, and positivity in diverse professional settings Desirable Requirements Experience with ligand‑protein docking, ligand‑protein co‑folding, or drug‑target interaction models Experience using synthons and transformations to generate virtual spaces, or to interrogate virtual spaces Application Instructions Important: Please submit your CV and cover letter by July15,2026 end of day.

Salary Range: CHF 0.00 - CHF 0.00 Job Description Summary The Novartis Biomedical Research Postdoctoral Fellowship Program offers a 3‑year 100% position starting October1,2026, in Basel, Switzerland, focusing on foundational multimodal proteochemometrics models in drug discovery.

This opportunity enables early‑career scientists to work with cutting‑edge AI and biomedical research technologies in collaboration with data and wet‑lab scientists.

Fellows will train and optimize structure‑affinity models using high‑throughput experimental data and evaluate their predictive performance for drug‑target interactions in hit‑finding and safety assessments.

About the Role We are excited to invite applications for the Novartis Biomedical Research Postdoctoral Fellowship Program, a unique training opportunity designed for exceptional early‑career scientists eager to tackle some of the most challenging problems in biomedical research and drug discovery.

As a Postdoctoral Research Fellow, you will join Discovery Sciences in Basel and pursue an innovative research project at the forefront of biomedical science and drug discovery.

You will work alongside leading scientists in a highly collaborative, multidisciplinary environment while gaining exposure to the broader ecosystem that translates scientific discovery into medicines.

Our fellows are empowered to ask bold scientific questions, apply cutting‑edge technologies, and develop approaches that have the potential to transform patient care.

Research Opportunity Foundational structure‑activity models that can predict small‑molecule protein interactions from the small‑molecule structure and protein sequence have attracted scientific attention.

The practical suitability of such models trained on public structure‑activity data has been limited as this data is both low in volume and extremely sparse.

In this project we aim to train a large proteochemometrics model based on high‑throughput experimental data resulting from different read‑out modalities and assess how such models can be predictive for low‑volume high‑quality affinity data with and without fine‑tuning on a small number of such quality data points.

Why Join the Program The Novartis Biomedical Research Postdoctoral Fellowship Program is designed to develop the next generation of scientific leaders through rigorous research and immersive learning experiences, such as implementation of AI tools in biomedical research.

In your cover letter, please describe your research interests, career aspirations, and how participation in the Novartis Biomedical Research Postdoctoral Fellowship Program will support your long‑term development. The start date for the 2026 Novartis BR Postdoctoral Fellowship Program cohort is October1,2026.

Please confirm your availability to meet this date in your cover letter. Applicants must be eligible to work in Switzerland. #J-18808-Ljbffr