Research Scientist, Applied Science

GenBio AI
Palo Alto
Workplace: OnsiteFull timeUSD 175,000 - 270,000 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Collaboration","Problem-solving","Teamwork","Self-motivated"]

Conduct AI-driven structural biology research, develop models, and lead computational discovery campaigns in collaboration with external partners to translate research into real-world drug discovery applications.

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FursaFursa
GenBio AI
GenBio AI
3 months ago

Research Scientist, Applied Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Conduct AI-driven structural biology research, develop models, and lead computational discovery campaigns in collaboration with external partners to translate research into real-world drug discovery applications.
Location: Palo Alto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Conduct AI-driven research in structural biology and contribute to model development for real-world scientific challenges.
  • •Lead computational discovery efforts in collaboration with external partners to accelerate drug discovery programs.
  • •Translate research advances into impactful outcomes by leveraging experimental results to guide modeling and decisions.
  • •Collaborate with external partners and internal researchers on partner-facing scientific projects and internal research initiatives.
  • •Balance time between partner-facing projects and internal research initiatives to maximize scientific impact.

Pay and Benefits

Salary: USD 175,000 - 270,000 annually

Key Requirements

  • •PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Computational Biology, or a related technical field.
  • •Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
  • •Experience in translating machine learning research into real-world scientific impact through collaborations with academic, biotechnology, or pharmaceutical partners.
  • •Experience designing, executing, or supporting computational discovery campaigns in protein engineering, antibody discovery, binder design, or related therapeutic discovery efforts.
  • •Experience working closely with experimental scientists and using experimental results to guide decisions.
Experience:BiotechPharmaceuticalDrug discoveryAI in biologyStructural biology
Education:PhD / Doctorate
Skills:CommunicationCollaborationProblem-solvingTeamworkSelf-motivated
Languages:English
Tech Stack:Alphafold2Alphafold3RosettaFoldDiffusion modelsFlow matchingProtein sequence modelsVersion controlOpen-source

Company Brief

GenBio AI
Develops AI-driven computational platforms to accelerate design and engineering of biological systems, enabling rapid discovery and optimization of proteins, enzymes, and biologics for biotech and pharmaceutical applications.
Industry: Biotech
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