Gladstone Institutes
Computational Postdoctoral Scholar - Theodoris Lab
Gladstone Institutes, San Francisco, California, United States, 94199
Overview
The laboratory of Christina Theodoris, MD, PhD, is seeking a highly motivated postdoctoral fellow with background in deep learning or network inference to join her research program in the Gladstone Institute of Cardiovascular Disease and Gladstone Institute of Data Science and Biotechnology. Our lab is focused on leveraging cutting-edge machine learning and experimental genomics to map the gene networks driving cardiovascular disease and develop network-correcting therapies.
The successful applicant will have the opportunity to develop novel algorithmic architecture to leverage large-scale experimental genomics datasets to build artificial intelligence with a fundamental understanding of biological systems. The postdoctoral fellow will have access to large-scale experimental data and state-of-the-art computational infrastructure to accomplish their research goals and will work in highly collaborative environment with computational and experimental biologists, synergizing the strengths of both domains to advance discoveries in network inference algorithms and the mechanisms of gene regulation. The postdoctoral fellow will develop their own research questions and have opportunities for methods development and advancement of computational skills. The postdoctoral fellow will also have opportunities for career development including writing grant applications and manuscripts and presenting their work at conferences. Overall, the fellow will join a highly collaborative team united in the common goal of impacting the lives of patients with cardiovascular disease.
Responsibilities and Opportunities Responsibilities and opportunities include developing their own research questions, opportunities for methods development and advancement of computational skills, and career development including writing grant applications and manuscripts and presenting their work at conferences. The fellow will join a highly collaborative team uniting computational and experimental biologists to advance discoveries in network inference algorithms and the mechanisms of gene regulation.
Required Qualifications
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 would be beneficial
Required Application Materials
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
https://gladstone.org/training/postdocs
Gladstone is committed to improving diversity, equity, and inclusion in science, from trainees to faculty, and is an equal opportunity employer.
Application Contact Application can be sent to:
christina.theodoris@gladstone.ucsf.edu
Hiring Range:
$64,480 - $76,980 (DOE)
Gladstone Perks & Benefits
People–work with talented, committed, and supportive teammates within an organization that values each member of its community.
A meaningful place to grow and learn–whether it’s your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone’s mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow’s leaders in an inspiring and diverse environment.
Healthy work/life balance–you are highly engaged and productive at work because you can have time to recharge and enjoy a vibrant life outside of work.
Compensation–competitive salary. Title and salary will be commensurate with education and experience.
Excellent benefits–generous medical, dental, vision, retirement plan, paid vacation, commuter benefits, access to free shuttle transportation.
Gladstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, veteran status, sexual orientation, or any other non-job related characteristic. We make all employment decisions so as to further this principle of equal employment.
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The successful applicant will have the opportunity to develop novel algorithmic architecture to leverage large-scale experimental genomics datasets to build artificial intelligence with a fundamental understanding of biological systems. The postdoctoral fellow will have access to large-scale experimental data and state-of-the-art computational infrastructure to accomplish their research goals and will work in highly collaborative environment with computational and experimental biologists, synergizing the strengths of both domains to advance discoveries in network inference algorithms and the mechanisms of gene regulation. The postdoctoral fellow will develop their own research questions and have opportunities for methods development and advancement of computational skills. The postdoctoral fellow will also have opportunities for career development including writing grant applications and manuscripts and presenting their work at conferences. Overall, the fellow will join a highly collaborative team united in the common goal of impacting the lives of patients with cardiovascular disease.
Responsibilities and Opportunities Responsibilities and opportunities include developing their own research questions, opportunities for methods development and advancement of computational skills, and career development including writing grant applications and manuscripts and presenting their work at conferences. The fellow will join a highly collaborative team uniting computational and experimental biologists to advance discoveries in network inference algorithms and the mechanisms of gene regulation.
Required Qualifications
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 would be beneficial
Required Application Materials
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
https://gladstone.org/training/postdocs
Gladstone is committed to improving diversity, equity, and inclusion in science, from trainees to faculty, and is an equal opportunity employer.
Application Contact Application can be sent to:
christina.theodoris@gladstone.ucsf.edu
Hiring Range:
$64,480 - $76,980 (DOE)
Gladstone Perks & Benefits
People–work with talented, committed, and supportive teammates within an organization that values each member of its community.
A meaningful place to grow and learn–whether it’s your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone’s mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow’s leaders in an inspiring and diverse environment.
Healthy work/life balance–you are highly engaged and productive at work because you can have time to recharge and enjoy a vibrant life outside of work.
Compensation–competitive salary. Title and salary will be commensurate with education and experience.
Excellent benefits–generous medical, dental, vision, retirement plan, paid vacation, commuter benefits, access to free shuttle transportation.
Gladstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, veteran status, sexual orientation, or any other non-job related characteristic. We make all employment decisions so as to further this principle of equal employment.
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