GenBio AI

4 weeks ago

Research Scientist, Applied Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 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

Website

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GenBio AI

4 weeks ago

Research Scientist, Applied Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

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

Industry: Biotech

Website