New

Biospecimens and Genetics Data Manager

University of California - San Francisco
$69,000 - $100,200
United States, California, San Francisco
1840 3rd Street (Show on map)
Apr 07, 2026
The position is with the UCSF Memory and Aging Center (MAC) (http://memory. ucsf. edu), a dynamic multidisciplinary clinical research program investigating neurodegenerative diseases. Under the supervision of the MAC Genetics and Biospecimen Manager, the Biospecimen and Genetics Data Manager will coordinate many aspects of the Genetics and Biospecimen program data needs. Key activities of the Specimen Data Manager involve routine research data management activities including discrepancy management, manual data review, data cleaning, data transfers, data linking and merging, data analysis, generating metrics, reporting, and writing scripts to support some of this work. 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 packagesWorking skills in analysis and consultation.Skills to communicate complex information in a clear and concise manner both verbally and in writing.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.Basic understanding of genetics and proteomics.Knowledge of Freezerworks LIMS or similar databaseAbility to communicate complex information in a clear and concise manner both verbally and in writing. Clear, concise communication style with easy going attitude.Ability to multitask and be organized and work quickly in a dynamic environment with competing priorities.Prior experience working in a research environment, preferably in a wet-lab or closely with a wet-lab.Excellent Excel and MS Office skillsKnowledge of SQLProficiency in a programming language (python, R, etc.) Preferred Qualifications Experience using web services to integrate with LIMS or other systemsExperience working with relational databases or software tools to design queries and reports.Minimum of 3 years of research or clinical data management experienceExperience in data consultation in a cross-functional environment, preferably an academic research environment.Knowledge of HIPAA and best practices for securing protected health information 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 Working skills in analysis and consultation. Skills to communicate complex information in a clear and concise manner both verbally and in writing. 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. Basic understanding of genetics and proteomics. Knowledge of Freezerworks LIMS or similar database Ability to communicate complex information in a clear and concise manner both verbally and in writing. Clear, concise communication style with easy going attitude. Ability to multitask and be organized and work quickly in a dynamic environment with competing priorities. Prior experience working in a research environment, preferably in a wet-lab or closely with a wet-lab. Excellent Excel and MS Office skills Knowledge of SQL Proficiency in a programming language (python, R, etc.) Preferred Qualifications: Experience using web services to integrate with LIMS or other systems Experience working with relational databases or software tools to design queries and reports. Minimum of 3 years of research or clinical data management experience Experience in data consultation in a cross-functional environment, preferably an academic research environment. Knowledge of HIPAA and best practices for securing protected health information License / Certifications: NO