Computational Postdoctoral Scholar - Theodoris Lab

Position Overview

Category:
Postdoc Lab/Area:
Theodoris Lab

We are looking for a postdoctoral fellow with a background in deep learning or network inference to join the laboratory of Christina Theodoris, MD, PhD, at the Gladstone Institute of Cardiovascular Disease and Gladstone Institute of Data Science and Biotechnology.

Our lab focuses on leveraging machine learning and experimental genomics to map gene networks driving cardiovascular disease and develop network-correcting therapies.

The successful applicant will develop novel algorithmic architecture to leverage large-scale experimental genomics datasets, learn a fundamental understanding of biological systems, and work collaboratively with computational and experimental biologists.

The fellow will develop own research questions, methods, and skills, as well as present work at conferences and develop career through grant and manuscript writing.

• PhD in a computational field with experience in deep learning and/or network inference methods.
• Advanced competency in Python and Bash or equivalent.
• Experience with PyTorch or equivalent and interfacing with GPU hardware is beneficial.

• Curriculum vitae.
• Cover letter with a brief statement of research background and future goals/interest in the lab.
• Contact information for three references.

• Salary range (DOE): $64,480 - $76,980.
• Competitive salary commensurate with education and experience.
• Generous medical, dental, vision, retirement plan, paid vacation, commuter benefits, access to free shuttle transportation.
• Healthy work/life balance, meaningful growth and mentorship opportunities.

Contact:
christina.theodorisf.edu

Gladstone is committed to improving diversity, equity, and inclusion in science and is an equal opportunity employer. We make all employment decisions to further this principle of equal employment.