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Laboratory in Frisco - Frisco, TX

posted about 2 months ago

Full-time - Senior
Frisco, TX

About the position

The Quantum Bioinformatics Scientist at Ayass Bioscience will lead innovative research at the intersection of quantum computing and biological sciences. This role focuses on developing quantum algorithms for biological data analysis, aiming to enhance drug development and personalized medicine through advanced computational techniques.

Responsibilities

  • Design and implement quantum algorithms for biological data analysis
  • Develop quantum circuit optimization strategies
  • Create quantum-classical hybrid solutions for bioinformatics challenges
  • Lead high-throughput data analysis using quantum approaches
  • Implement quantum machine learning techniques
  • Manage complex molecular and systems biology projects
  • Drive research initiatives and methodology development

Requirements

  • PhD in Quantum Computing, Bioinformatics, Computational Physics, Computer Science, or related field
  • Mastery of quantum programming languages (Qiskit, Cirq, Q#, PennyLane)
  • Proficiency in classical programming (Python, R, Julia, SQL)
  • Expertise in quantum algorithm design and error correction
  • Strong background in statistical modeling and machine learning
  • Advanced mathematics including linear algebra and quantum mechanics
  • Experience with bioinformatics analysis and pathway mapping
  • Proven track record of research publications
  • Grant writing experience
  • Strong project management abilities
  • Excellence in scientific communication
  • Demonstrated leadership in research initiatives

Nice-to-haves

  • Postdoctoral research experience
  • Industry experience in quantum computing or biotechnology
  • Expertise in quantum machine learning applications
  • Knowledge of biological network analysis
  • Experience with high-performance computing

Benefits

  • Competitive salary and comprehensive benefits package
  • Collaborative research environment
  • Professional development opportunities
  • Health insurance
  • Paid time off
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