Senior Data Scientist, Generative AI

Senior Data Scientist, Generative AI – Roche Join to apply for the Senior Data Scientist, Generative AI role at Roche. 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. Position Overview A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Responsibilities Develop, fine-tune, and optimize generative AI models (e.g., LLMs, diffusion models, VAEs, transformers) for text, multimodal, and structured data generation. Architect scalable pipelines for data preprocessing, model training, and evaluation across large and complex datasets. Apply state‑of‑the‑art research in generative modeling to real‑world problems and drive novel applications across multiple domains. Collaborate cross‑functionally with engineers, scientists, and product teams to translate generative AI capabilities into impactful solutions. Design experiments to evaluate generative models for quality, robustness, and interpretability. Communicate technical findings clearly to both technical and non‑technical stakeholders. Stay up to date with the latest advancements in generative AI, foundation models, and multimodal learning, and identify opportunities for adoption. Qualifications Master degree with 5+ years of experience in Computer Science, Machine Learning, Electrical Engineering, Applied Mathematics, or a closely related field. Demonstrated proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Strong knowledge of generative modeling techniques (e.g., transformers, diffusion, GANs, VAEs). Proven ability to solve complex modeling challenges and innovate beyond standard approaches. Experience working with large‑scale datasets, including text, multimodal, or scientific data. Experience with efficient training techniques, such as LoRA, quantization, distillation, and model pruning. Background or hands‑on experience with DNA, protein, or other biological data. Familiarity with scalable computing environments (cloud platforms, GPU/TPU acceleration, distributed training). Excellent communication and interpersonal skills for effective collaboration in a multidisciplinary team. Preferred Experience with evaluation frameworks for generative AI, including human‑in‑the‑loop assessment. Hands‑on experience with Retrieval‑Augmented Generation (RAG) systems, including vector databases (FAISS, Milvus, Pinecone, Weaviate), indexing strategies, and hybrid retrieval pipelines. Experience with databases and querying (SQL/NoSQL), including data modeling, optimization, and efficient retrieval for large‑scale AI workflows. Experience with Protein/DNA language models (e.g., DNABert, Evo, ProtBERT, ESM, AlphaFold‑like approaches). Relocation Benefits Relocation benefits are not available for this posting. 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. Roche is an Equal Opportunity Employer. #J-18808-Ljbffr