4 of 4 Transcriptomics Jobs in the South East

languages like Python, R, or Perl for data analysis. Experience with bioinformatics tools and databases (e.g., BLAST, Bioconductor, Ensembl). 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 More ❯

learning, and statistical modeling to oncology-focused target identification and drug discovery . You will work with diverse datasets, from different sources including genomics, transcriptomics, proteomics, and high-content imaging data, to support the identification of cancer targets and the development of novel therapeutics. You will be part of the … with wet-lab scientists to design experiments and analyze results to inform target and drug discovery efforts. Integrate and analyze multi-omic datasets (genomics, transcriptomics, proteomics), imaging data and clinical data to extract meaningful insights. Build robust data pipelines for processing, integrating, and mining structured and unstructured biomedical data. Design … science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or R for data wrangling, modeling, and visualization. Hands-on experience with data integration, mining More ❯

scale modelling. Proficiency in Python and at least one ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. Knowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data. More ❯

classification, dimensionality reduction, and regression modeling. Demonstrated experience working with one or more of the following data types: Single-cell and/or bulk transcriptomics/Spatial omics (e.g., spatial transcriptomics or multiplex imaging)/Multi-modal data integration (e.g., combining genomics with clinical or imaging data) A track record More ❯