Research Associate in Biomedical Informatics

The Department of Biomedical Informatics at Harvard Medical School is looking for a research associate who will serve as a member of a multidisciplinary team with expertise in statistics/machine learning, informatics, and clinical medicine. Our team studies large and disparate datasets from multi-institutional electronic health records (EHR) data and biomedical texts. We develop analytical and predictive tools using these large scale biomedical data to improve the efficiency and accuracy of healthcare delivery. Specific responsibilities for this position include: design, create and maintain reproducible data pipelines; develop and maintain natural language processing algorithms on biomedical texts including clinical notes; work with research scientists both internally and externally to ensure data and algorithm accuracy; and collaborate with team members in carrying out research projects.

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Contact Information: Scientific questions regarding this position can be sent to Tianxi Cai at .

Postdoctoral Research Fellow in Biostatistics and Biomedical Informatics

A Postdoctoral Research Fellow position in biostatistics and biomedical informatics is available at Harvard T.H. Chan School of Public Health. The positions involve developing and applying statistical and computational methods for analysis of electronic health records (EHR) data including narrative data extracted via natural language processing, codified phenotype data as well as large scale genomic measurements. We seek an individual with strong statistical and computing backgrounds and who has expertise in statistical and machine learning methods for big data. The work will involve development and application of statistical and informatics methods and algorithm for analyzing EHR data.

Basic Qualifications: Ph.D. in a quantitative field, e.g., statistics or biostatistics, computer sciences, strong quantitative research background, statistical and programming proficiency, as well as good written and oral communication skills.

Contact Information: Scientific questions regarding this position can be sent to Tianxi Cai at .

Data Science Summer Program

Data Science in Action: Machine Learning for Self-Driving Cars is a one week summer program to introduce programming and machine learning to high school students. During the course, students will program a neural network to recognize images and learn to make a self-driving toy car. The course will consist of theoretical and programming components. Students will be introduced to different machine learning concepts and algorithms. In parallel they will also be introduced to Python programming language, which will allow them to program the concepts they have studied.

Eligibility Requirements: High school student(rising freshman – senior), Interest in applying to college with a focus in STEM, Basic algebra, Completed application and release forms, Resume.

Click here to learn more about our summer program.

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