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Senior Biomedical Informatician


This is a Full-time position in Los Angeles, CA posted July 15, 2021.

Responsibilities A major objective of dementia research at the UCLA Easton Center is to understand the genetic risk factors for dementia and how genetics can be used to predict disease in clinical settings. We plan to achieve this by studying electronic health records (EHR) with genetics data. The Senior Biomedical Informatician will develop and evaluate dementia phenotypes from the EHR, apply and improve genetic and clinical risk scores that predict dementia phenotypes, assess risk score performance among different ancestries, and merge and harmonize datasets from multiple sources. In this role, you will use analytical techniques from genetics, biomedical informatics, computer science and statistics. These datasets include hundreds of thousands to millions of individuals. Your analyses will be performed via local high performance clusters and cloud computing.nbsp Qualifications REQUIRED Previous research experience in electronic health records andor human genetics Experience with programming languages including R, SAS, Bash, SQL, Perl andor Python Experience running analyses on high performance computing clusters Knowledge of LinuxUnix operating system, shell scripting, and source-code versioning systems such as GitHub Ability to learn new computer languages and software as needed Experience conceptualizing and creating tables and figures Experience creating presentations for professional audiences Experience in publishing research in peer-reviewed journals Working knowledge and ability in the use of computers (PC and MAC operating systems) Skill in using various computer software (e.g., Microsoft Office, Adobe products, etc.) PREFERRED PhD in biomedical informatics, medical informatics, computational biology, genetics, computer science, statistics or related field General working knowledge of neuroscience, machine learning, and statistics theories and principles An understanding of statistics including multi-variate modeling and multiple hypothesis testing UCLA is an Equal OpportunityAffirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.