T Internship - Machine Learning Transition Bio Full-time On-site Cambridge, Cambridgeshire, United Kingdom Technology Transition Bio is an innovative, early-stage biotechnology company, at the forefront of drug discovery using the emerging science of biomolecular condensates. Our platform combines droplet microfluidics, high-content imaging, chemical biology, and AI/ML to identify novel targets and therapeutics. We are a cross-disciplinary team transforming biological complexity into therapeutic opportunity. Transition Bio is looking for an outstanding and highly motivated machine learning intern with a strong interest in image analysis and computer vision to support projects across our imaging and data science teams. The internship is expected to last 6 months; and will represent an excellent opportunity for students who recently graduated with a university degree or wanting to gain hands-on experience working with real-world biological image data in a fast-paced biotech environment. Key Responsibilities Include, But Are Not Limited To Support the development of ML models for droplet and cellular image analysis Assist in segmentation, object detection, and feature extraction from high-content microscopy data Pre-process and annotate large-scale imaging datasets via Python & Knime Collaborate with data scientists and lab biologists on cross-functional experiments Use tools like OpenCV, scikit-image, and PyTorch to build and test image pipelines Document findings and contribute to internal codebases Present findings at regular team and cross-department meetings Required Qualifications And Experience BSc or MSc in Computer Science, Biomedical Engineering, Bioinformatics, and/or appropriate industry experience Strong Python skills and familiarity with ML libraries (e.g., PyTorch, scikit-learn) Experience using image processing or computer vision (e.g., OpenCV, CellProfiler, ImageJ) Curiosity and enthusiasm for applying AI to real-world biology Clear communication and a collaborative mindset Desired Experience Experience in processing biomedical imaging data Familiarity with tools like Jupyter, Git, Docker, or AWS Interest in droplet microfluidics, cell biology, or chemical screening This is an on-site internship, based in Cambridge UK. Applicants are required to provide the following evidence and information before interview: notify us of any reasonable adjustments in order to attend an interview. have permission to work in the UK from the start of the internship.