Data Scientist
Current- Built machine learning models using Python/TensorFlow to output optimal doses for patients on prescription drugs- Developed statistical analysis plans and wrote clinical study reports for in-house clinical trials- Expanded this MedTech start up’s dose optimisation capabilities to cover deep learning and reinforcement learning techniques- Designed clinical trials to capture data needed for dose optimisation algorithm development- Developed innovative patents on dose optimisation to enhance the company’s IP profile- Analysed clinical trial data to contribute to academic publications- Showcased dose optimisation capabilities to potential investors and pharmaceutical partners- Introduced good version control practices to the Data Science team, enhancing collaboration and reducing risk of data loss- Conducted reviews of scientific literature in various therapeutic areas, including hypertension, diabetes, cancer, thrombosis, and obesity- Highlighted value of dose optimisation products using health economics models- Liaised with external parties to collect real-world data to support dose optimisation algorithm development- Engaged with regulatory agencies, including the FDA and the MHRA, over Software as a Medical Device submissions- Presented complex analytical results in a clear, concise manner to other employees
