Postdoctoral Research Fellow in Computational Biology

7 days ago


San Francisco, California, United States Gladstone Institutes Full time
About the Position

We are seeking a highly motivated postdoctoral fellow with a background in deep learning or network inference to join our research program at the Gladstone Institutes. Our team is focused on leveraging cutting-edge machine learning and experimental genomics to map the gene networks driving cardiovascular disease and develop network-correcting therapies.

Key Responsibilities
  • Develop novel algorithmic architecture to leverage large-scale experimental genomics datasets to build artificial intelligence with a fundamental understanding of biological systems.
  • Work in a 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.
  • Develop your own research questions and have opportunities for methods development and advancement of computational skills.
  • Participate in career development opportunities, including writing grant applications and manuscripts and presenting your work at conferences.
Requirements
  • 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.
What We Offer
  • Competitive salary and benefits package.
  • Opportunities for career development and advancement.
  • A collaborative and dynamic work environment.
  • Access to state-of-the-art computational infrastructure and large-scale experimental data.


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