- 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 Gladstone is committed to improving diversity, equity, and inclusion in science, from trainees to faculty, and is an equal opportunity employer. Application can be sent to: 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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Computational Postdoctoral Scholar - San Francisco, United States - Gladstone Institutes
Description
Category:PostdocLab/Area:Theodoris Lab
Description:
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.
Required Qualifications:
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Jocelyn Lambert
Aspiring journalist, experienced writer and researcher, and certified yoga instructor. Passionate ab ...