The BIG IDEAs Lab in the Departments of Biomedical Engineering and Biostatistics & Bioinformatics at Duke University is seeking a computational postdoctoral fellow to lead the ongoing CovIdentify study, which uses wearable sensors to detect COVID-19 and predict outcomes.
Research areas of the BIG IDEAs Lab include digital biomarker discovery and integration of multi-omics, electronic health records, and wearable sensor data to predict and prevent disease, with a focus on cardiometabolic health.
Applicants should have training in computer science, statistics, mathematics, bioinformatics, bioengineering, or another related discipline. Must have skills in computing (e.g. Python, R), familiarity with database management, and cloud computing. Experience with analyzing large biomedical datasets including machine learning for classification and regression problems, dimensionality reduction, and noise reduction are preferred. Experience with mobile app development is a bonus.
Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. |
(posted 2021/05/14, listed until 2021/11/14)