AI-Driven Protein Engineer & Research Associate

Valid8 Financial, Inc.

Tustin (CA)

On-site

USD 75,000 - 85,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, Vision, and Life Ins.
401(K) with matching
Employee Referral Bonus
Complimentary fruit, snacks, and nonal
Complimentary catered lunches on some 
EV charging
Cell phone stipend

Job summary

Zymo Research is seeking a Computational Protein Research Associate to join a multidisciplinary team focused on protein engineering, enzyme discovery, antibody design, and AI-driven molecular modeling.

Responsibilities include developing scalable analysis platforms, building predictive AI/ML models, and designing proteins with desired properties, in close collaboration with wet-lab scientists for iterative optimization.

Qualifications

  • Strong analytical, problem-solving, and communication skills.
  • Bachelor's degree in computational biology, bioinformatics, or related field.
  • Proficiency in Python and commonly used scientific computing libraries.

Responsibilities

  • Apply protein language models and ML approaches to analyze sequences and annotate functions.
  • Use structural modeling tools to investigate protein structures and interactions.
  • Design proteins and optimize enzymes and antibodies using AI methods.
  • Perform computational screening for experimental validation.
  • Collaborate with wet-lab scientists to design experiments and iterate improvements.

Skills

Analytical skills
Problem-solving
Communication skills

Education

Bachelor's degree in computational biology, bioinformatics, or related field

Tools

Python

Job description

Zymo Research is seeking a Computational Protein Research Associate to join a multidisciplinary team focused on protein engineering, enzyme discovery, antibody design, and AI-driven molecular modeling.

Responsibilities include developing scalable analysis platforms, building predictive AI/ML models, and designing proteins with desired properties, in close collaboration with wet-lab scientists for iterative optimization.

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