HMS - Associate in Biomedical Informatics (Cai Lab)

Harvard University Position Details TitleHMS - Associate in Biomedical Informatics (Cai Lab)SchoolHarvard Medical SchoolDepartment/AreaBiomedical InformaticsPosition Description The Associate will focus on research and curating electronic health records data by mapping row EHR data to common ontologies, performing natural language processing to extract clinical entities from free-text notes, performing quality control, and organizing data into a research ready form. The associate will work with senior researchers to perform statistical and machine learning based analyses including predictive modeling and real world evidence generation. Basic Qualifications MS in computer science, biostatistics, biomedical informatics or related field. Additional Qualifications Knowledge of machine learning tools such as penalized logistic regression, XGBoost, neural networks. Knowledge of modeling strategies including propensity score weighting and doubly robust casual estimation. Special Instructions Contact Information Mo Moro Contact Emailmohammed_moro@hms.harvard.eduSalary Range $70,000 Minimum Number of References RequiredMaximum Number of References AllowedKeywords EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination. Supplemental Questions Required fields are indicated with an asterisk (•). Applicant Documents Required Documents Curriculum Vitae Cover Letter List of References Optional Documents PI283212468