Machine Learning Scientist

ppAt 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. /ppThe Position AI Biology Translation (AIBT) develops and applies state-of-the-art artificial intelligence to accelerate biomedical discovery across Research and Early Development in Genentech Roche. We combine advances in foundation models, multimodal machine learning, and large-scale biological data to advance target discovery, disease understanding, biomarker development, and translational science. We are seeking a (Senior) ML Scientist with deep expertise in modern machine learning to lead the development and application of next-generation AI technologies for designing DNA and RNA sequences for nucleic acid-based medicines. We work closely with stakeholders in Cell Therapy, Gene Therapy, and Vaccine Oncology on diverse projects, ranging from platform development for lab-in-the-loop refinement of sequence designs to lead optimization for portfolio projects. Representative work includes designing regulatory elements to confer cell-type-specific transcription and engineering synonymous coding sequences to enhance translational efficiency. As a Scientist / Senior Scientist, you will directly lead sequence design campaigns, translating biological questions into predictive and generative models, and driving iterative sequence optimization in close collaboration with wet-lab experimentalists. /pulliBuild, train, and fine-tune machine learning algorithms to optimize nucleic acid-based medicines for active portfolio projects /liliDesign candidate sequence libraries for lab-in-the-loop optimization cycles, analyze experimental readouts (e.g., MPRA, NGS), and iteratively update designs /liliCollaborate cross-functionally with wet-lab scientists and project leads to understand therapeutic constraints and tailor design algorithms accordingly /liliPresent technical findings, candidate designs, and model performance metrics to cross-functional team members and stakeholders /liliStay current with advancements in biological sequence modeling and nucleic acid therapeutics to bring state-of-the-art methods into our pipeline /liliContribute to scientific publications /li /ulh3Who You Are /h3ulliPh.D. in a quantitative discipline (Bioinformatics, Computational Biology, Computer Science, Machine learning, or a related field) with 0-4 years of post-doctoral or industry experience /liliDemonstrated research impact at the interface of machine learning and molecular biology, evidenced by publications in top-tier journals or ML conferences /liliStrong Python programming skills and proficiency in deep learning frameworks such as PyTorch /liliHands-on experience developing, training, or fine-tuning sequence-to-function models for biological molecules (preferably DNA/RNA) /liliExcellent communication skills in English, with the ability to speak to both computational and experimental scientists /li /ulh3Preferred Qualifications /h3ulliPrior experience applying machine learning in a biotech, pharma, or industry setting /liliDomain knowledge in nucleic acid-based therapeutics (e.g., mRNA design, AAV capsid/promoter engineering, cell therapy vectors) /liliExperience with advanced ML frameworks relevant to sequence design, such as generative modeling (diffusion, autoregressive sequence models, masked language models), active learning, model interpretability, or uncertainty quantification /liliFamiliarity with high-throughput functional genomics data processing (e.g., MPRA, RNA-seq, ribosome profiling) /li /ulh3About AI Biology Translation (AIBT) /h3pAI Biology Translation (AIBT) is part of the Computational Sciences Center of Excellence (CS-CoE). AIBT advances the development and application of cutting-edge artificial intelligence to accelerate biomedical discovery and translational science. By integrating expertise in machine learning, computational biology, and software engineering, AIBT develops AI capabilities that enable researchers to generate new biological insights, accelerate scientific decision-making, and transform research across Genentech Roche. /ph3Who we are /h3pA 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. /ppRoche is an Equal Opportunity Employer. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche. /p /p #J-18808-Ljbffr