or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker). Strong problem-solving and communication skills. Desirable More ❯
large image datasets Knowledge of modern data warehousing and data lake technologies Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods Linux system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in medical image analysis Working knowledge … of the DICOM standard, volume reconstruction, 3D rendering techniques, statisticalmodelling Experience with AI model training pipelines and architectures (transformers, diffusion models etc) Understanding of fundamental statistical concepts (p-values, effect sizes and confidence intervals) Experience with MLOps methodologies Experience with version control (e.g. GitLab, DVC) Experience More ❯
to design data-driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms and potential therapeutic targets. Apply statistical models and computational methods to identify biomarkers, drug targets, and other key biological insights. Stay up-to-date with the latest bioinformatics techniques, software … . Solid understanding of genomics, transcriptomics, proteomics, and other omics data. Familiarity with cloud platforms (AWS, GCP, Azure) and high-performance computing. Experience with statistical analysis, machine learning, or data visualization tools (e.g., R, MATLAB, Jupyter). Strong communication skills to collaborate across teams and present findings to both More ❯
