Responsibilities may include : (1) development and application of informatics and machine learning methods for analyzing genomics, imaging, biomarker and other biomedical and healthcare data; and (2) collaboration on cutting-edge biomedical data science research with researchers in Perelman School of Medicine and other Schools at Penn.

The successful applicant will have an opportunity to work under the supervision of an Informatics PI, with a focus on methodological developments and biomedical applications. The candidate is expected to establish a clear trajectory towards an independent researcher in preparation for the next stage of their career.

Qualifications

Application Instructions

To apply, visit https://apply.interfolio.com/183210

Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.

Responsibilities may include : (1) development and application of informatics and machine learning methods for analyzing genomics, imaging, biomarker and other biomedical and healthcare data; and (2) collaboration on cutting-edge biomedical data science research with researchers in Perelman School of Medicine and other Schools at Penn.

The successful applicant will have an opportunity to work under the supervision of an Informatics PI, with a focus on methodological developments and biomedical applications. The candidate is expected to establish a clear trajectory towards an independent researcher in preparation for the next stage of their career.

Qualifications

Application Instructions

To apply, visit https://apply.interfolio.com/183210

Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.