Gladstone Institutes Logo

Gladstone Institutes

Computational Postdoctoral Scholar - Theodoris Lab

Reposted 8 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
64K-77K Annually
Expert/Leader
In-Office
San Francisco, CA, USA
64K-77K Annually
Expert/Leader
The postdoctoral scholar will develop algorithms using deep learning and genomics data to improve understanding and treatment of cardiovascular diseases in a collaborative lab environment.
The summary above was generated by AI
Category:Postdoc
Lab/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: 

  • 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 can be sent to:

[email protected] 

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.

HQ

Gladstone Institutes San Francisco, California, USA Office

1650 Owens Street, San Francisco, CA, United States, 94158

Similar Jobs

33 Minutes Ago
Hybrid
31-46 Hourly
Junior
31-46 Hourly
Junior
Fintech • Financial Services
The Registered Client Associate assists Financial Advisors with client service, account management, administrative tasks, and ensuring compliance through proper documentation and communication.
Top Skills: MS Office
33 Minutes Ago
Hybrid
San Francisco, CA, USA
167K-260K Annually
Senior level
167K-260K Annually
Senior level
Fintech • Financial Services
The role involves developing and maintaining client relationships, driving revenue growth, managing banking transactions, and networking to expand the client base.
33 Minutes Ago
Hybrid
Entry level
Entry level
Fintech • Financial Services
I don’t have the job description text. Please paste the full job description (replace ${desc}) so I can extract technologies, salary, requirements, travel, visa information, security clearance, and produce the requested structured JSON.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account