The Senior Data Scientist uses professional data science (including AI and biomedicine) concepts. He/she applies computational procedures to resolve a variety of analysis and research issues. Works on assignments of moderate to extended scope where analysis of data requires a review of a variety of factors. This specialist develops additional analyses as needed to achieve research objectives. The Computational Data Science Research Specialist will develop innovative approaches to apply AI/ML methods to clinical and biological data sets, and advise others on of effective approaches. This specialist may be required to utilize the elasticity of the AWS Cloud for Big Data Intensive (e.g. Hadoop/Spark) compute infrastructure and parallel system environment. This specialist assists in creating pipelines and configurations on a Linux-based distributed file system for Very Large health data, premise-hosted as well as public cloud based. Such data will be clinical, genotypic, biological scale, phenotypic and population level data of several categories, structured, semi-structured and unstructured data. Non-structured data includes genetic, text, images, and “messy” alphanumeric data. AWS and Linux system skills will help to build scalable general-purpose computational and inferential software tools to work with the data. The Senior Data Scientist will work with current and prospective partners via UCSF Business Development functions, like Center for Real-World Evidence ( CRWE), Office of Innovation, Technology & Alliances (ITA), to provide data-based analyses and consulting support to assist in developing and fulfilling partnerships. Typical partners are research labs, biotech or tech companies. The specialist will participate in working discussions with partners, as well as with UCSF business functions in support of the above goals; and will also evaluate third party tools, especially for Next Generation Sequencing, Foundation Models, Natural Language Processing (NLP), text mining and information retrieval, for adaptation into and use in our system, under guidance from the Data Science manager. The candidate will work towards ensuring system compliance with the university’s policies with respect to privacy and security. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $97,100 - $145,700 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html