Intern, Biostats at Ultragenyx in Remote

Summary: Ultragenyx Pharmaceutical is dedicated to leading the future of rare disease medicine and providing impactful care for patients. The intern will apply AI and large language models to modernize biostatistics and enhance efficiency in statistical programming workflows, focusing on automation and innovation across various key areas. Responsibilities: - Apply AI and large language models to enhance efficiency and quality within biostatistics and statistical programming workflows - Support development of AI-assisted tools for TLF quality review, including automated checks, annotations, or validation aids - Contribute to building an AIenabled CDISC mapping tool to streamline dataset standardization - Assist in creating automated clinical graphics solutions that leverage LLMs or generative AI for quicker and more consistent visualization outputs - Participate in developing AI-based report generation workflows to improve speed and consistency of clinical study outputs - Prototype, evaluate, and document emerging AI/ML methods relevant to statistical programming tasks - Collaborate with biostatisticians and programmers to gather requirements, test solutions, and integrate prototypes into existing workflows - Present findings, prototypes, and recommendations to the biostatistics and programming leadership team Required Qualifications: - Currently pursuing a Master's or PhD degree in Biostatistics, Statistics, Data Science, Computer Science, Biomedical Informatics, or a related quantitative discipline - Advanced proficiency in Python is a must, including experience with data manipulation, automation, or AI/ML workflows - Experience with programming languages commonly used in biostatistics such as SAS or R, and familiarity with development environments like Visual Studio Code - Exposure to AI/ML concepts, large language models, or natural language processing—through coursework, projects, or research - Strong analytical, problem-solving, and communication skills, with interest in applying emerging technologies to real-world scientific workflows Required Skills: Python, AI/ML concepts Important Skills: SAS, R Nice-to-Have Skills: Analytical skills, Communication skills, Problem-solving skills Benefits: Generous vacation time and public holidays observed by the company, Volunteer days, Long term incentive and Employee stock purchase plans or equivalent offerings, Employee wellbeing benefits, Fitness reimbursement, Tuition sponsoring, Professional development plans