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Application Questions - BioAI Research Engineer

• Which of the following best describes your experience with handling biological data?✱

  • Limited experience, with theoretical knowledge but no practical exposure
  • Basic experience, with some exposure to biological data analysis
  • Intermediate experience, with practical experience in processing and analysing biological data
  • Advanced experience, with significant contributions to analysing large-scale biological datasets
• Which of the following best describes your understanding of the applications of AI in biological research?✱

  • Limited understanding, but willing to learn
  • Basic understanding, with some exposure to AI applications in biology
  • Intermediate understanding, with practical experience in AI-driven biological research projects
  • Advanced understanding, with significant contributions to AI-driven biological research projects
• What is your machine/deep learning experience?✱

  • Basic proficiency in Python and machine learning libraries such as Scikit-Learn
  • Proficient in Python, with some experience in machine/deep learning libraries like TensorFlow, Jax or PyTorch
  • Advanced proficiency in Python, with extensive experience with multiple machine learning frameworks
  • Expert proficiency in multiple programming languages including Python, with a deep understanding of their applications in deep learning
• What is your software engineering experience?✱

  • Limited experience, with basic understanding of programming concepts but no practical application
  • Some experience, having worked on small-scale software projects or coursework
  • Intermediate experience, with practical application of software engineering principles in projects or research
  • Advanced experience, with significant contributions to large-scale software projects, research publications, or industry applications
• What is your experience with natural language processing (NLP)?✱

  • Limited experience, with basic theoretical knowledge but no practical application
  • Some experience, having worked on small-scale NLP projects or coursework
  • Intermediate experience, with practical application of NLP techniques in projects or research
  • Advanced experience, with significant contributions to NLP projects, research publications, or industry applications
• Have you worked on any projects involving the integration of AI and genomic data?✱

  • No, I have no experience in this area
  • Limited experience, with theoretical knowledge but no practical exposure
  • Some experience, with involvement in projects related to AI and DNA/RNA foundation models
  • Extensive experience, with significant contributions to projects at the intersection of biology and AI using DNA/RNA foundation models
• How do you stay updated with the latest advancements in both AI and biology?✱

  • Occasional reading of scientific papers and attending relevant conferences
  • Regularly reading scientific papers and participating in online forums or discussions
  • Actively contributing to research communities, publishing papers, and attending conferences
  • Leading research efforts, publishing extensively, and/or collaborating with experts in both fields
• Please indicate your domain interests (tick as many as you like):

  • Sequence models
  • Histology
  • Immunology
  • Protein folding
  • Infectious diseases
  • Molecular simulation
  • Protein Design
  • Computer Vision

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