Research Data Analyst

Involves gathering, analyzing, and interpreting a wide variety of research data. Designs and conducts research including selecting data samples, developing research instruments, analyzing collected information according to established statistical methods, and developing recommendations based on research findings. Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results.

The Division of Gastroenterology and Hepatology in the Department of Medicine advances the understanding, diagnosis, and treatment of gastrointestinal and liver diseases.  The division provides outstanding care to patients and has a longstanding reputation for excellence in hepatology research.

Required Qualifications - Bachelor's degree in related area and / or equivalent experience / training. - Demonstrated ability to work with others from diverse backgrounds. - Self-motivated and works independently and as part of a team. - Demonstrated problem-solving skills. Able to learn effectively and meet deadlines. - Demonstrated service orientation skills. - Strong organizational skills. - Ability to efficiently manage a variety of different tasks at the same time. - Ability to prioritize tasks appropriately. - Strong quantitative training. Preferred Qualifications - Two (2) years of progressive programming experience or equivalent educational experience. - Knowledge of data management systems, practices and standards. Significant experience using SQL, R, or Python. - Knowledge relating to logical data design, data warehouse design, data integration or the management of web content or other unstructured data. Strong quantitative background preferably in biostatistics, statistics, econometrics, or related fields. - Significant experience using MS Word, Excel, and Access. - Establish analyzable data sets and document them for future use by statisticians. Perform range and quality checks and make recommendations to study staff for revising existing procedures to mitigate data errors. - Demonstrated effective communication and interpersonal skills. Ability to communicate effectively with a diverse range of non-technical staff. - Strong analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems. - Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail. - Experience with longitudinal regression modeling, sample size calculations. - Experience in scientific writing for publication.

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.

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 https://www.ucsf.edu/about/mission-and-values . In addition to , 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 https://diversity.ucsf.edu/ . Join us to find a rewarding career contributing to improving healthcare worldwide.

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.