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

Novartis
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Location
Basel (City)
Job Type
Full-time
Posted
July 6, 2026
Views
3

Job Description

The Novartis Biomedical Research Postdoctoral Fellowship Program offers a 3-year 100% position starting October 1, 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 a collaboration with data and wet-lab scientists.

The 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 and safety assessments.About the RoleWe 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 OpportunityFoundational structure activity models that can predict small molecule protein interactions from the small molecule structure and protein sequence have attracted scientific attention.

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

In this project we aim at training a large- proteochemometrics model based on high-throughput experimental data resulting from different read-out modalities and will 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, powering the future of medicine, through rigorous research, and immersive learning experiences, such as implementation of AI tools in biomedical research.Postdoctoral Research Fellows benefit from:Guidance from accomplished scientific leaders and subject matter expertsAccess to advanced technologies, platforms, and research capabilitiesCollaboration across disciplines and organizational boundariesA global and diverse community of postdoctoral fellowsDedicated programming designed to help fellows thrive throughout their careers.Personalized experiential learning opportunities through a Postdoc Practicum that empower 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 networkWe are entering a new era of biomedical research breakthroughs through the convergence of biology, technology, and artificial intelligence tools, and fellows are also supported in engaging with these emerging approaches.This is a 100% training position of up to three years in duration.Reimagining Medicine TogetherAt Novartis, our purpose is to reimagine medicine to improve and extend people’s lives.

Through this program, you will grow as a scientist and future leader while contributing to discoveries that may ultimately benefit patients worldwide.Key ResponsibilitiesTrain 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 the 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 RequirementsPhD (or equivalent doctoral degree) in a relevant scientific discipline completed prior to the fellowship start date.

The Novartis Biomedical Research Postdoctoral Fellowship Program offers a 3-year 100% position starting October 1, 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 a collaboration with data and wet-lab scientists.

The 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 and safety assessments.About the RoleWe 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 OpportunityFoundational structure activity models that can predict small molecule protein interactions from the small molecule structure and protein sequence have attracted scientific attention.

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

In this project we aim at training a large- proteochemometrics model based on high-throughput experimental data resulting from different read-out modalities and will 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, powering the future of medicine, through rigorous research, and immersive learning experiences, such as implementation of AI tools in biomedical research.Postdoctoral Research Fellows benefit from:Guidance from accomplished scientific leaders and subject matter expertsAccess to advanced technologies, platforms, and research capabilitiesCollaboration across disciplines and organizational boundariesA global and diverse community of postdoctoral fellowsDedicated programming designed to help fellows thrive throughout their careers.Personalized experiential learning opportunities through a Postdoc Practicum that empower 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 networkWe are entering a new era of biomedical research breakthroughs through the convergence of biology, technology, and artificial intelligence tools, and fellows are also supported in engaging with these emerging approaches.This is a 100% training position of up to three years in duration.Reimagining Medicine TogetherAt Novartis, our purpose is to reimagine medicine to improve and extend people’s lives.

Through this program, you will grow as a scientist and future leader while contributing to discoveries that may ultimately benefit patients worldwide.Key ResponsibilitiesTrain 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 the 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 RequirementsPhD (or equivalent doctoral degree) in a relevant scientific discipline completed prior to the fellowship start date.

The program is 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 cheminformatic workflows, and familiarity with descriptors and machine learning and deep learning in the context of 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 huge datasetsDemonstrated ability to work as part of an interdisciplinary team (i.e., biologists, chemists, data scientists), with proactive and results-oriented communication skills. Dedication to promoting mutual respect, empathy, and positivity in diverse professional settings.

Desirable RequirementsExperience with some of the following: ligand protein docking, ligand protein co-folding, 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.The start date for the 2026 Novartis BR Postdoctoral Fellowship Program cohort is October 1, 2026.

Please confirm your availability to meet this date in your cover letter.Please note that we can only accept applicants who are eligible to work in Switzerland.

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Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The job is located in Basel, Switzerland. It is a 100% on-site training position based at the Discovery Sciences division in Basel.
What are the key responsibilities of this fellowship?
You will train and optimize foundational structure affinity models on high-volume experimental data, fine-tune models on high-quality low-volume data, and evaluate their performance. Additionally, you will apply these architectures to small molecule hit-finding projects and evaluate their performance in predicting off-targets for pharmacology safety assessments.
What qualifications and experience are required?
You must have a PhD in a relevant discipline completed in 2026, a record of scientific achievement, and hands-on experience with cheminformatic workflows, machine learning, and deep learning. Expertise in Linux high-performance computing, cloud environments, Python scientific/deep learning stacks, and training foundational models or processing huge datasets is also required.
Are there any visa sponsorship or eligibility restrictions for this role?
Novartis can only accept applicants who are already eligible to work in Switzerland. No visa sponsorship or relocation support is mentioned as being provided.
What benefits or development opportunities does the program offer?
Fellows benefit from guidance by scientific leaders, access to advanced technologies, and a global postdoc community. The program includes a Postdoc Practicum for personalized experiential learning, opportunities to present and publish research, and dedicated programming to support career development.
What is the application process and deadline?
You must submit your CV and a cover letter by July 15, 2026, end of day. Your cover letter must describe your research interests, career aspirations, how the program supports your development, and confirm your availability to start on October 1, 2026.

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Source: manual
AI Relevance: 95/100 (Highly relevant)
Remote Type: onsite
Allowed Locations: Worldwide
Skills & Tags:
novartis machine learning deep learning artificial intelligence cheminformatics drug discovery data science protein

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