Ofertas › Novartis
Novartis · Cambridge, United Kingdom · £60,000 - 100,000 per year
Salary: £60,000 - 100,000 per year Requirements: We require a PhD in computer science, AI, machine learning, biomedical image analysis, computational imaging, data science, or a related quantitative field, with 3+ years of applied experience in AI for bioimaging and computer vision. We require demonstrated experience developing and validating image analysis algorithms for biological, biomedical, or pharmaceutical research applications, with practical experience in image segmentation, feature extraction, phenotypic profiling, object classification, or representation learning applied to high-content or high-throughput imaging data. We require practical expertise in designing benchmarking and evaluation strategies to compare image analysis methods and guide rigorous, evidence-based model selection. We require ability to work effectively in Linux-based high-performance computing, cloud, or large-scale data processing environments, with a strong commitment to reproducible research, version control, testing, and data provenance. We require strong proficiency in Python and the scientific deep learning stack, along with hands-on experience using image analysis tools such as scikit-image, OpenCV, napari, Cellpose, StarDist, InstanSeg, and OME-Zarr. We require a self-motivated, experienced contributor who thrives in a collaborative, multidisciplinary environment with biologists, imaging scientists, software engineers, and bioinformatics partners, working with appropriate independence and helping shape project direction through both technical expertise and scientific judgment. We require excellent scientific communication and stakeholder engagement skills, including the ability to explain complex AI and image analysis concepts to experimental scientists, project teams, engineers, and non-technical audiences. We prefer experience developing or adapting foundation models, self-supervised learning approaches, multimodal AI models, or embedding-based analysis methods for biological imaging data. We prefer familiarity with the drug discovery pipeline, phenotypic screening, translational biology models, or pharmaceutical research processes. We prefer demonstrated success in turning project-specific solutions into reusable, scalable workflows or standardized analysis products integrated into enterprise platforms, production pipelines, or user-facing tools. We prefer a track record of scientific publication, conference presentations, open-source contributions, or internal t