Computational Protein Design Pod Lead | $18 - $25/hr

Qualification: Ph.D. (ongoing or completed) in Computational Biology, Structural Biology, Bioinformatics, Biochemistry, Protein Engineering, or a closely related discipline.

Job Type: Short-term contract

Location: Remote

Domain: Computational Protein Design | Structural Biology | AI Training

Role Overview

We are seeking a highly skilled Computational Protein Design Pod Lead to guide a specialized team working on advanced structural biology and protein engineering problems. In this role, you will apply your deep expertise in computational modeling, protein structure prediction, and sequence optimization to evaluate technical outputs and drive high-quality project delivery.

Key Responsibilities

- Design scientifically rigorous evaluation tasks involving de novo protein design, target-conditioned binder generation, motif scaffolding, and sequence–structure optimization.
- Develop and execute computational protein design workflows using generative AI models, diffusion-based approaches, and established protein engineering tools.
- Define task inputs, biological constraints, expected outputs, evaluation criteria, and reproducible experimental protocols.
- Evaluate AI-generated protein sequences and structures for folding confidence, structural stability predictions, geometric validity, interface quality, novelty, and biological plausibility.
- Analyze protein folding, sequence–structure relationships,



and protein–protein interactions to assess the quality and feasibility of generated designs.
- Develop objective scoring rubrics, reference analyses, and computational validation methods to evaluate model performance.
- Identify model limitations, failure cases, unrealistic structural predictions, and potential weaknesses in generated protein designs.
- Distinguish computational predictions from experimentally validated results and document scientific assumptions and limitations.
- Prepare reproducible evaluation benchmarks, computational analysis reports, and technical documentation.
- Summarize findings in concise technical reports and contribute to proof-of-concept demonstrations for scientific AI evaluation initiatives.

Key Requirements

- Ph.D. (ongoing or completed) in Computational Biology, Structural Biology, Bioinformatics, Biochemistry, Protein Engineering, or a closely related discipline.
- Hands-on experience in at least one major area: computational protein design, protein structure prediction, molecular modeling, or protein engineering.
- Robust understanding of protein folding, protein structure–function relationships, molecular interactions, and sequence–structure optimization.
- Practical familiarity with computational protein design and structural analysis tools such as RFdiffusion, ProteinMPNN, AlphaFold, Rosetta, PyMOL, or ChimeraX.

Role Details

- Start Date: Immediate
- Availability: 8 hours per day with an overlap of 4 hours with PST.

📌 Computational Protein Design Pod Expert (India)
🏢 Codefeast
📍 India