Intern - Research - Protein Therapeutics, Computational Biologics Engineering - AI Job at Gilead Sciences, Foster, CA

  • Gilead Sciences
  • Foster, CA

Job Description

Responsibilities

  • Apply generative protein design workflows to create and evaluate antibody and miniprotein binders against therapeutic targets
  • Develop reproducible Python-based computational workflows for protein design, analysis, and candidate ranking
  • Use physics-based modeling tools to assess binding properties and developability of designed proteins
  • Support candidate advancement to recombinant expression and experimental characterization assays
  • Document methods, results, and recommendations for future protein engineering campaigns

Requirements

  • Currently enrolled full-time in Bachelor's or advanced degree program at accredited U.S. institution
  • Minimum 2.8 cumulative GPA and U.S. work authorization without sponsorship
  • Python proficiency for data analysis and workflow development
  • Knowledge of molecular modeling tools and structure-based protein design principles
  • Strong problem-solving skills and ability to work independently and collaboratively
  • Preferred: Graduate/PhD student in Computer Science, Biochemistry, Physics, Chemistry, or Computational Biology
  • Preferred: Experience with AI/ML frameworks (PyTorch, TensorFlow) and protein design workflows

Compensation: $20.00 - $55.00 hourly

Job Tags

Hourly pay, Full time, Internship

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