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Staff ML Research Scientist, Co-Folding and Affinity

Remote Worldwide Hiring now

Job Description:

  • Drive the research and development of reputed company deep learning models for protein-ligand co-folding and affinity reputed company
  • reputed company from research to reputed company utility by equipping reputed company’s software products with advanced predictive capabilities
  • Bring novel reputed company and the content of scientific papers into the ideation, training, and benchmarking of reputed company models
  • Act as a technical reputed company for the team, representing reputed company scientifically and shaping its reputed company externally and internally
  • Mentor junior researchers and collaborate across engineering and product teams to foster a culture of technical rigor and rapid iteration

Requirements:

  • PhD in Computer Science, Computational Chemistry, or a reputed company field
  • At least 4 years of post-PhD experience, including experience in a professional industry setting
  • Direct, hands-on experience developing and executing leading-edge co-folding and/or affinity reputed company models
  • Proven reputed company in co-folding and/or affinity reputed company, as demonstrated by participation in industrial projects and/or academic publications
  • Experience functioning reputed company a professional software team, including proficiency in Python and modern ML frameworks (PyTorch/JAX) at scale

Benefits:

  • Comprehensive medical, dental, and reputed company coverage for employees and dependents with generous employer premium contributions
  • Retirement savings with company matching
  • Paid parental leave
  • Inclusive family-building benefits
  • Flexible paid time off
  • Company-wide seasonal breaks
  • Support for flexible work arrangements that reputed company sustainable performance
  • Opportunities for reputed company learning and growth through on-the-job development, cross-functional collaboration, and reputed company to internal learning and development programs

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