Research Scientist / Senior Research Scientist

Do you want to help ensure every patient can access the best possible diagnostic and treatment decisions? If so, join our team at Optellum and help us shape the cancer care of tomorrow! We are a fast-growth AI start-up seeking to solve one of the biggest problems in healthcare: early interception and treatment of lung disease, starting with the deadliest, lung cancer. Professional development opportunities: grow your knowledge of diagnostics and lung cancer Competitive salary and benefits Flexible working hours from the outset, including the opportunity for hybrid working Our initial product is the world’s first AI-powered clinical decision support software for early diagnosis of lung cancer, which enables every clinician, in every hospital, to manage their patients in the optimal way. You will work within the multidisciplinary Clinical Evidence team, which is a mix of medical and technical personnel, on the following workstreams: Statistical analysis Calculate performance (e.g., Ability to use and re-fit models typically used in healthcare (logistic regression, decision trees, GLMMs, etc.), Own the data analysis for ongoing research projects Select datasets to answer particular scientific questions, requiring a detailed understanding of existing available datasets, parameters, and clinical requirements Liaise with the internal medical team to help support their workflows, and help bring their medical understanding to the rest of the company Clinical studies and trials Assist in clinical trial design and execution as part of the work supporting Optellum’s range of current and future products, across multiple countries. Manage partner sites in compiling and submitting documents for ethics clearance/IRB, data use agreements, and trial management documentation. Run check-in meetings for scientific studies, and project-manage remote sites to meet our research objectives. Create research protocols with partner sites to support data collection and research at their institutions. Run technical quality checks on incoming data, and pre- and post-processing of datasets prepared for the machine learning teams. Manage data platforms for HIPAA-compliant data collection and processing. Knowledge of medical statistics : you have a grasp of statistical techniques and terminology, and are familiar with sensitivity/specificity, ROC and AUC analysis, power calculations, etc. You are concise yet effective in tailoring a message to the audience in English. Python programming : you are proficient in the use of Python to effectively import, clean, and format data. Data modelling and understanding : you have a proven track record of analysing and publishing novel scientific results on large datasets in a real-world setting. You pride yourself on your ability to spot crucial errors in data, yet you are able to prioritise progress over perfection. Qualifications : you have a minimum of a postgraduate degree (MSc, MRes, etc.) in a field with a high quantitative component, e.g., Statistics, Informatics, Physics, or you can show that your background has a similar mathematical rigour. Alternatively , you have a background in medicine, experience working in hospital environments, and a strong track record in technical publications. Initial full-time availability, starting August 2026 or before Able to perform hybrid working with at least 2 days per week onsite in Oxford Experience with DICOM data, or experience with hospital imaging infrastructure (PACS and reporting systems)  Experience working with clinical studies, ethics approval, or protocol-writing  Experience with project management and familiarity with Jira and similar tools.