Machine Learning Scientist - Quantum Chemistry

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The Position

Join the small-molecule team within AI for Drug Discovery (AI4DD), formerly Prescient Design, at Roche and Genentech’s Computational Sciences Center of Excellence as a Machine Learning Scientist / Senior Machine Learning Scientist in Quantum Chemistry. You will combine machine learning methods and quantum chemistry to build fast, accurate models that power small-molecule drug discovery. You will work with world-class computational and experimental scientists and leverage proprietary datasets and state-of-the-art compute.

The Opportunity:

• Create cutting-edge solutions that combine quantum chemistry and machine learning algorithm development to model small-molecule energetics and protein–ligand interactions, from conformation and reactivity to binding affinity and free energy.
• Build synthetic datasets using quantum mechanics and related methods to shape novel research directions in ML.
• Develop deployable pipelines that are robust, scalable and reproducible, and feed directly into molecular-design tools used across Roche.
• Drive scientific impact through publications, open-source releases, and talks at internal and external conferences.
• Collaborate widely with world-class computational and experimental researchers at Roche and with academic partners.

Who you are:

• You bring deep machine-learning expertise with a strong theoretical foundation in linear algebra, probability and optimization, and you build models from first principles.
• You have hands-on quantum chemistry experience and fluency in toolkits such as Psi4, PySCF and ORCA, as well as semi-empirical methods like xTB.
• You are fluent in Python and modern ML frameworks such as PyTorch or JAX.
• You hold a PhD or equivalent research depth in machine learning, computational chemistry, chemical engineering or a related quantitative field such as physics or statistics.
• You have a record of scientific excellence evidenced by journal and conference publications or a public portfolio of relevant projects (e.g. hosted on GitHub/GitLab)..

Preferred:

• Experience in scientific software development, scaling ML training, and applying models to drug discovery. 
• Experience generating large-scale synthetic datasets.

If building physics-grounded machine learning models that bring better medicines to patients faster is your calling, apply now and help shape the future of small-molecule drug discovery.

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Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.

The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.