Senior Data Scientist

Senior Data Scientist Remember to check your CV before applying Also, ensure you read through all the requirements related to this role. ICHS-General Full Time Job Summary 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 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 Description The Bakar Computational Health Sciences Institute (BCHSI) is a critical component of a global UCSF initiative in Precision Medicine, which seeks to aggregate and integrate vast, disparate datasets to advance understanding of biological processes, determine mechanisms of disease, and inform diagnosis and treatment of patients. Beginning with a base of excellent computational faculty dispersed among our four top‑ranked professional schools (Dentistry, Medicine, Nursing and Pharmacy) and Graduate Division, superb research programs and outstanding Medical Center, BCHSI established a central convening center, hires additional faculty, and builds programs for research and education. BCHSI develops and enhances UCSF's computational and data science approaches and strategies in basic, translational, clinical and population‑based biomedical research, working with partners in industry and academia where appropriate. It is a campus hub for computer scientists and for researchers who employ advanced computation as a primary tool in their biomedical research. Required Qualifications Bachelor's degree in Computer / Computational / Data Science, or biomedical computation, or Domain Sciences with computer / computational / data specialization or related area and minimum 3 years of relevant experience or an equivalent combination of education and experience. Intermediate knowledge of large‑dataset computing/querying, especially Python/R, SQL (including access of "NoSQL" data stores), UNIX shell programming. Experience of managing projects of moderate scope and complexity. Strong knowledge of data science and AI at large scale, including biomedical data sciences, workflows and methods. Experience of applying machine learning, statistical or similar data science techniques to real‑world data. Intermediate knowledge of large‑dataset computing/querying, especially Python/R, SQL (including access of "NoSQL" data stores), UNIX shell programming. Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non‑technical personnel at various levels in the organization and to external research and education audiences, especially to a biomedical audience. Proven skills and experience in independently resolving broad computing / data problems using introductory and / or intermediate principles. Self‑motivated, works independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills. Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators. Preferred Qualifications Bachelor's or Master's degree in Computer Science, with specialty courses on Data Sciences and AI. 5+ years of relevant experience or an equivalent combination of education and experience. AWS, Unix/Linux OS and shell scripting, Python, Java, Rstudio, Jupyter, Hadoop, Spark, Hiv. Experience analyzing data on the order of tens of billions of records. Fundamental knowledge of computer science, architectures and algorithmic optimization. Experience with applications programming, web development and data structures. Demonstrated ability to regularly interface with management. Experience of managing projects of moderate scope and complexity. Proven ability to successfully work on multiple concurrent projects. Thorough experience working in a complex computing / data / CI environment encompassing all or some of the following: HPC including Cloud‑ and premise‑based deployments, data science infrastructure and tools / software, and diverse domain science application base. Advanced skills associated with software design, modification, implementation and deployment, including object‑oriented programming concepts. Intermediate knowledge of secure software development. Proven ability to understand functional and research computing / data needs, mapping use cases to requirements and how systems / software / infrastructure can support those needs and meet the requirements. Demonstrated ability to develop conversion and system implementation plans and implement such solution. Ability to contribute technical narrative to grant proposals. Knowledge of or experience in clinical practice. About UCSF The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate‑level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10‑campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells. Pride Values UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values. In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at Join us to find a rewarding career contributing to improving healthcare worldwide. xrczosw Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. Job Code and Payroll Title 006104 CMPTL AND DATA SCI RSCH SPEC 3 Job Category Clinical Systems / IT Professionals, Engineering Bargaining Unit 99 - Policy-Covered (No Bargaining Unit) Employee Class Career Percentage 100% Location San Francisco, CA Campus Mission Bay (SF) Work Style Flexible Shift Days Shift Length 8 Hours