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Causal LabsSan Francisco, California, United States · On-site
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San Francisco, California, United States • On-site
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Develop novel foundational AI models using large-scale biological data to understand gene network dynamics. Collaborate with computational and experimental biologists to accelerate the discovery of network-correcting therapeutics.
Requires a B.S. in Computer Science, with an M.S. in Computer Science or Machine Learning being beneficial. Candidates must demonstrate hands-on experience in AI model development through publications or code repositories.
The laboratory of Christina Theodoris, MD, PhD, is seeking a highly motivated AI research engineer with a strong background in computer science and machine learning 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 developing novel foundational AI models leveraging large-scale biological data to understand gene network dynamics and accelerate the discovery of network-correcting therapeutics.
The applicant must have a B.S. in Computer Science, and/or an M.S. in Computer Science or Machine Learning. The applicant must also have hands-on experience developing AI models with relevant publications or code repositories to demonstrate their prior work.
The successful applicant will have the opportunity to develop novel AI models for network biology, working closely within our collaborative team of computational and experimental biologists and accessing state-of-the-art GPU computing infrastructure. The research engineer will also have opportunities for career development including publishing their work and presenting their work at conferences.
Overall, the fellow will join a highly collaborative team united in the common goal of developing AI models to advance our understanding of biological systems and improve human health.
B.S. in Computer Science
M.S. in Computer Science or Machine Learning would be beneficial
Advanced competency in Python and Bash
Experience with PyTorch, GPU computing, HPC computing, Slurm, GitHub
Prior experience with AI model development
Curriculum vitae
Cover letter with a brief statement of research background and future goals / interest in the lab
Contact information for three references
GitHub repository or other sample code demonstrating background in AI model development
Research Technologist I - $61,326-$71,185
Research Technologist II- $75,504 - $88,634
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 excellent 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.
Science Overcoming Disease
Gladstone's mission is to drive a new era of discovery in disease-oriented science and to mentor tomorrow’s leaders in an inspiring and diverse environment. Although Gladstone shares traits with other top life science organizations, we pride ourselves on taking uncommon scientific paths to overcoming disease. Our investigators are selected to become authorities in leading or creating new fields, and we work to provide them with resources to explore bold new thoughts, form effective scientific teams, and create or master emerging research technologies that accelerate progress—Gladstone’s special recipe for success that has yielded some of the most important biomedical advances of our time. Our three disease-focused institutes constitute the core of our discovery engine, but do not operate in isolation. We are seizing unprecedented opportunities for “convergence”—defined as the blending of intellectual and physical assets from multiple scientific disciplines and fields to speed the discovery process in our attack on unsolved health problems that affect almost every human family.
Offices: 1650 Owens Street, San Francisco, California 94158, US
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