Summary The Novartis Biomedical Research Postdoctoral Fellowship Program offers a 3‑year, 100% position starting October 1, 2026 in Basel, Switzerland. It focuses on foundational multimodal proteochemometrics models in drug discovery, providing early‑career scientists with training in cutting‑edge AI and biomedical research technologies.
About the Role 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.
Research Opportunity We aim to train a large proteochemometrics model based on high‑throughput experimental data from DNA‑encoded library screening and other modalities. The project will assess how such models can predict low‑volume, high‑quality affinity data, both with and without fine‑tuning on small datasets.
Why Join the Program The fellowship is designed to develop the next generation of scientific leaders through rigorous research, immersive learning experiences, and the implementation of AI tools in biomedical research.
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 and build cross‑functional expertise
Opportunities to present research, publish in leading journals, and build an international scientific network
Reimagining Medicine Together Through this program, you will grow as a scientist and future leader while contributing to discoveries that may ultimately benefit patients worldwide.
Key Responsibilities
Train and optimize foundational structure–affinity models using 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 them with state‑of‑the‑art models
Apply and evaluate promising model architectures prospectively in small‑molecule hit‑finding projects
Evaluate 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 (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 cheminformatic workflows, descriptors, and machine learning and deep learning in cheminformatics
Expertise working 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 large datasets
Demonstrated ability to work as part of an interdisciplinary team (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, co‑folding, or drug‑target interaction models
Experience using synthons and transformations to generate virtual spaces, or to interrogate virtual spaces
Important Please submit your CV and cover letter by July 15, 2026, end of day. 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. Confirm your availability to start on October 1, 2026.
Applicants must be eligible to work in Switzerland.
Why Novartis Helping people with disease requires innovative science and a community of smart, passionate people who collaborate, support, and inspire each other to achieve breakthroughs that change patients’ lives.
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About the Role 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.
Research Opportunity We aim to train a large proteochemometrics model based on high‑throughput experimental data from DNA‑encoded library screening and other modalities. The project will assess how such models can predict low‑volume, high‑quality affinity data, both with and without fine‑tuning on small datasets.
Why Join the Program The fellowship is designed to develop the next generation of scientific leaders through rigorous research, immersive learning experiences, and the implementation of AI tools in biomedical research.
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 and build cross‑functional expertise
Opportunities to present research, publish in leading journals, and build an international scientific network
Reimagining Medicine Together Through this program, you will grow as a scientist and future leader while contributing to discoveries that may ultimately benefit patients worldwide.
Key Responsibilities
Train and optimize foundational structure–affinity models using 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 them with state‑of‑the‑art models
Apply and evaluate promising model architectures prospectively in small‑molecule hit‑finding projects
Evaluate 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 (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 cheminformatic workflows, descriptors, and machine learning and deep learning in cheminformatics
Expertise working 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 large datasets
Demonstrated ability to work as part of an interdisciplinary team (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, co‑folding, or drug‑target interaction models
Experience using synthons and transformations to generate virtual spaces, or to interrogate virtual spaces
Important Please submit your CV and cover letter by July 15, 2026, end of day. 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. Confirm your availability to start on October 1, 2026.
Applicants must be eligible to work in Switzerland.
Why Novartis Helping people with disease requires innovative science and a community of smart, passionate people who collaborate, support, and inspire each other to achieve breakthroughs that change patients’ lives.
#J-18808-Ljbffr
Data Science & AI Innovation Postdoctoral Fellow Foundational & Multimodal Proteochemometrics models Arbeitgeber: Novartis
Novartis ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern in Basel, Schweiz, eine dynamische und innovative Arbeitsumgebung bietet. Mit einem starken Fokus auf Mitarbeiterentwicklung und einer Kultur der Zusammenarbeit ermöglicht das Unternehmen seinen Angestellten, ihre Fähigkeiten im Bereich KI und Technologie strategisch auszubauen. Die flexiblen Arbeitsoptionen und leistungsorientierten Boni machen Novartis zu einem attraktiven Arbeitsplatz für alle, die eine sinnvolle und lohnende Karriere anstreben.
