Required Qualifications PhD in computational sciences or life sciences 3-5+ years of post-academic experience in life sciences (biotech, pharma, consulting) Strong programming skills, particularly in Python Extensive experience in multi-modal bioinformatics analysis Preferred Qualifications Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases Strong background in machine learning and deep learning, particularly in biological applications Experience with large language models (LLM). Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints Aid in the development and training of AI agents to automate and optimize biomedical workflows Collaborate cross-functionally with clinical, technical, and research teams Present complex analytical findings to senior stakeholders, including executive leadership About You .