Protein AI Scientist

Position- Protein AI Scientist

Visa- No OPT & H1B

Location- San Diego, CA

Type- Hybrid

Must have- ML/AI application to protein design experience is a must have.

We are currently seeking a self-motivated, collaborative Machine Learning Scientist to drive ML/AI powered protein design for next-generation biologics, including antibody, protein, peptide and beyond. If you are an expert in machine learning and a relentless problem solver who shares our passion for making a difference, we invite you apply!

Responsibilities

• Design and implement cutting-edge algorithms, such as diffusion, transformer or LLM -based protein models, for de novo protein design.
• Develop in silico or de novo antibody discovery and engineering methods to enable challenging targets.
• Analyze diverse experimental data, identify gaps in model capabilities, and enhance the performance of the protein design pipeline.
• Evaluate and push the boundaries of state-of-the-art algorithms, particularly those related to protein design.
• Partner with experimental, computational scientists, and IT professionals to refine strategies for data generation and acquisition for ML trainings.
• Regularly share progress in internal and cross-functional research meetings. Additionally, actively engage with the external scientific community by contributing through publications and presentations.

Basic qualifications

• PhD in computational biology, computer science, bioinformatics, or a related discipline.
• Industry Experience developing and applying machine learning and AI algorithms addressing protein design and engineering problems of biological interest.

Preferred qualifications:

• Proficiency in programming languages/tools (Python or R).
• Hands-on experience with RosettaFold, RFdiffusion, AlphaFold, or ESM, ESMFold.
• Proficiency in protein modeling and design software, such as PyMOL, Rosetta, Schrodinger, Molecular Operating Environment (MOE).
• Strong publication record in protein design and engineering for therapeutic proteins. Experience with antibodies highly desired.
• Familiar in shell coding, code base, scale up computing and automation
• Excellent written and oral communication skills, including an ability to explain complex ideas to partners (e.g. experimentalists, data scientists, and other computational scientists/IT professionals).
• Understand business requirements and effectively translate business needs and process into technical terms, and vice versa.
• Strong collaborative skills and proven ability to work with a cross-functional team.
  

Thanks & Regards

Shivam Rajpal

Sr. Technical Recruiter

Desk- X 142

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Voto Consulting LLC- M/WBE Certified Company