{"id":169382,"url":"https://alion.io/job/roche-machine-learning-scientist-quantum-chemistry","title":"Machine Learning Scientist - Quantum Chemistry","company":{"id":13531,"name":"Roche","domain":"roche.com","url":"https://alion.io/company/roche","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":180,"ghost_share":0,"stale_share":0.672,"repost_share":0.022,"time_to_fill_p50_days":19,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Basel, Switzerland","United Kingdom"],"countries":["CH","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2026-06-23T00:00:00Z","employer_posted_date":"2026-06-23","last_verified_at":"2026-10-24T23:50:01Z","board_verified":true,"closed_at":null,"days_open":124,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":124},"description":"At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.\nThe Position\nJoin 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.\nThe Opportunity\nCreate 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.\nBuild synthetic datasets using quantum mechanics and related methods to shape novel research directions in ML.\nDevelop deployable pipelines that are robust, scalable and reproducible, and feed directly into molecular-design tools used across Roche.\nDrive scientific impact through publications, open-source releases, and talks at internal and external conferences.\n Collaborate widely with world-class computational and experimental researchers at Roche and with academic partners.\nWho you are\nYou bring deep machine-learning expertise with a strong theoretical foundation in linear algebra, probability and optimization, and you build models from first principles.\nYou have hands-on quantum chemistry experience and fluency in toolkits such as Psi4, PySCF and ORCA, as well as semi-empirical methods like xTB.\nYou are fluent in Python and modern ML frameworks such as PyTorch or JAX.\nYou hold a PhD or equivalent research depth in machine learning, computational chemistry, chemical engineering or a related quantitative field such as physics or statistics.\nYou 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).\nPreferred\nExperience in scientific software development, scaling ML training, and applying models to drug discovery. \nExperience generating large-scale synthetic datasets.\nLocation & Travel Requirements\nThis position must be based in either Welwyn Garden City in the United Kingdom (preferred) or Basel, Switzerland. Although this can be a hybrid role, there is an expectation of ongoing and sustained site presence, in compliance with local company site requirements.\nIf 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.\n#tech4lifeAI\nWhere pay transparency applies, details are provided based on the primary posting location. For this role, the primary location is Welwyn. If you are interested in additional locations where the role may be available, we will provide the relevant compensation details later in the hiring process.Who we are\nA 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.\nLet’s build a healthier future, together.\nThe 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. 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