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Tier-1 brand and metro location increase visibility, but specialized protein-AI skills limit applicant pool.
Role demands domain-specific protein engineering and computational biology expertise, reducing cross-industry transferability.
Requires deep computational biology, protein-engineering and scientific AI leadership, so shortlisting will be highly selective.
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Define and drive AI-enabled workflows to accelerate protein engineering, structure prediction, molecular design, and related discovery activities.
Serve as the primary scientific lead translating biological challenges into AI-assisted solutions and ensuring alignment with research objectives.
Partner with ML engineers and multidisciplinary teams to develop and deploy reusable agentic AI capabilities that enhance scientific productivity.
PhD in Computational Biology, Bioinformatics, Structural Biology, Biophysics, Protein Engineering, Computer Science, or related field.
Deep expertise in computational biology, protein engineering, structural biology, molecular modeling, or protein design.
Strong understanding of foundation models, scientific AI, and agentic AI systems applicable to molecular discovery.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in integrating AI/ML with molecular or biological discovery, with demonstrated leadership in cross-functional scientific projects.
Capable of strategic scientific oversight to connect AI capabilities with protein and molecular engineering objectives.
Has a proven ability to manage complex multi-agent AI systems and scientific workflow automation in research environments.