Data Manager

Job Description The Data Manager position is based within the UCSF Edward and Pearl Fein Memory and Aging Center (MAC), a multidisciplinary clinical research program investigating neurodegenerative diseases. Under the direct supervision of the Genetics and Biospecimen Program Manager, the ALLFTD Data Manager will provide data management support for ALLFTD, a multisite longitudinal study of frontotemporal lobar degeneration, and selected Boxer Lab projects focused on biomarker discovery in neurodegenerative diseases. The ALLFTD Data Manager will support the collection, organization, quality control, cleaning, integration, and preparation of research data associated with these projects. Responsibilities will include reviewing and reconciling data from multiple internal and external sources; identifying and resolving discrepancies; preparing datasets for research use, reporting, and downstream ingestion; maintaining reproducible data workflows; and supporting data transfers and reporting activities. They'll work closely with UCSF IT, ALLFTD data teams at partner institutions, data systems personnel, and other technical collaborators to ensure that data are appropriately structured, cleaned, documented, and prepared for transfer into supported research systems. Department Overview The UCSF Edward and Pearl Fein Memory and Aging Center (MAC) is an internationally recognized clinical and research center focused on neurodegenerative diseases. With more than 300 employees across the UCSF Mission Bay campus, the MAC provides specialized clinical care and conducts a broad portfolio of observational studies, clinical trials, and translational research. The MAC is home to both a California Alzheimer's Disease Research Center and a federally funded Alzheimer's Disease Research Center. The MAC Genetics and Biospecimen Program supports research across neurodegenerative diseases by facilitating the collection, management, characterization, and responsible use of biospecimens and associated genetic and research data. Through highly characterized participant cohorts and collaborations with investigators within UCSF and at external institutions, the program supports biomarker discovery, genetic research, and the development of improved approaches to understanding, diagnosing, and monitoring disorders, including Alzheimer's disease and frontotemporal lobar degeneration (FTLD). Qualifications Required Qualifications Bachelor's degree in related area and minimum one year of experience or equivalent experience / training. Working knowledge of research function. Working skills in systems programming, scripting and statistical software packages. Proven track record of success managing and maintaining accurate data in a complex data environment. Demonstrated proficiency in statistical analysis, data transformation and linking, data systems programming, and/or data schema design and documentation. Prior experience working in a research environment, preferably in a wet-lab or closely with a wet-lab. Excellent Excel and MS Office skills. Proficiency in a programming language (python, R, etc.). Experience with source control management (e.g. git) and best practices for scripting. Working skills in analysis and consultation. Ability to communicate complex information clearly and concisely, both verbally and in writing, and to work collaboratively with research and technical colleagues. Ability to multitask and be organized and work quickly in a dynamic environment with competing priorities. Preferred Qualifications Minimum of 3 years of research or clinical data management experience. Basic understanding of genetics and proteomics. Experience working with relational databases or software tools to design queries and reports. Knowledge of HIPAA and best practices for securing protected health information. #J-18808-Ljbffr