Senior Scientist, Research Microscopy, Computational Biology and Medicine

Senior Scientist, Research Microscopy, Computational Biology and Medicine 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. The Position A healthier future is what drives us to innovate. In Roche’s Pharma Research and Early Development (pRED) organization, we make transformative medicines for patients to tackle some of the world’s toughest unmet healthcare needs. The Computational Sciences Center of Excellence’s Computational Biology and Medicine (CBM) department focuses on utilising and creating the latest Analytics & AI/ML approaches to improve our understanding of disease and patient response, by leveraging the largest Pharma R&D datasets in the world. This position ensures that pRED is supported with world‑leading computational biology capabilities. You will contribute to the BEAT (Biological Exploration and Analytics Technologies) subunit of CBM, responsible for developing, optimising and standardising workflows and advanced analytics approaches for core and emerging technologies in close collaboration with functional units including the pRED 360 Labs. The goal is to develop a competitive advantage for pRED by applying computational biology to research microscopy. Responsibilities Actively shape and execute the data and analytics strategy for your subunit in collaboration with primary stakeholders. Commit to fostering an inclusive, purpose‑driven, and collegiate workplace with a focus on collective action. Represent BEAT as a trusted partner to the wider stakeholder ecosystem. Develop collaborative relationships with critical stakeholders to realise and elevate their strategic ambitions. Collaborate with cross‑enterprise expert teams to refine, implement and deliver novel methodologies for research microscopy. Generate objective, high‑value insights that inform and influence a continuously evolving strategy designed to ensure CBM is a competitive advantage for pRED. Prioritise, together with stakeholders, the most critical and highest value activities. Qualifications Ph.D. in a scientific or technical field with 3+ years of experience in pharmaceutical R&D with deep knowledge in bioinformatics, biostatistics, data science or related field. Demonstrable evidence of contributing to high‑performing and multidisciplinary teams and fostering an inclusive workplace. History of building effective and business‑oriented relationships across the enterprise and the wider research ecosystem. Strong ability to communicate and advise within a dynamic setting from domain expertise. Expertise in using biological data analysis to impact decision‑making along the value chain; demonstrated ability to quickly grasp topics, formulate problem statements, and achieve successful outcomes. Process‑oriented approach with critical stakeholders in mind. Toolbox Microscopy image processing: noise reduction, segmentation, feature extraction from fluorescence, confocal, and electron microscopy. High‑content/optical‑pooled screening and multiplexed imaging techniques. Familiarity with common light microscopy platforms for confocal, live‑cell imaging, super‑resolution and Raman instruments. Knowledge of proprietary, platform‑specific image formats. Proficiency in Python for data analysis and machine learning (NumPy, SciPy, scikit‑learn, TensorFlow, PyTorch). Experience with R or MATLAB for statistical modelling and algorithm development. Familiarity with open‑source platforms: Imaris, CellProfiler, Halo, Fiji/ImageJ, Napari, scikit‑image. High‑performance computing experience: parallel computing frameworks for large‑scale imaging. Workflow development for deployment in distributed environments; familiarity with automation engineering principles. Familiarity with machine learning and AI applications to research microscopy. Capacity to integrate and execute AI applications for image processing, labelling and data integration. Unwavering focus, collaborative teamwork, and exceptional delivery are key behaviors that drive our mission of doing now what patients need next. Together, we can be transformative. Roche is an Equal Opportunity Employer. #J-18808-Ljbffr