For PhD-level scientists who can translate protein structure, dynamics, and design principles into oncolytic virus engineering decisions and therapeutic hypotheses.

ELIGIBILITY

1. PhD in structural biology, protein engineering, biophysics, computational chemistry, bioinformatics, or a related field.

2. Recent PhD graduates and postdocs are strongly encouraged to apply; industry experience is optional.

3. Strong lifelong-learning mindset and ability to rapidly absorb new methods in molecular dynamics, protein design, and viral engineering.

4. Hands-on experience with molecular dynamics simulation (GROMACS, AMBER, NAMD, or similar), structure prediction tools (AlphaFold, RoseTTAFold), Python and/or scripting for structural pipelines, and reproducible computational workflows.

RESPONSIBILITIES

1. Analyze and model protein structures relevant to viral capsid engineering, receptor-binding domains, and immune-evasion elements.

2. Run and interpret molecular dynamics simulations to evaluate protein stability, conformational dynamics,



and mutation effects.

3. Build reproducible structural analysis pipelines for variant screening, binding-site characterization, and structure-function hypothesis generation.

4. Work with virologists and wet-lab scientists to translate structural predictions into engineering designs and experimental validation plans.

PREFERRED BACKGROUND

1. Experience with viral capsid or envelope protein structures, protein-protein interaction modeling, or rational protein design/engineering.

2. Comfort with structure prediction tool limitations, force-field selection, simulation convergence, and communicating structural uncertainty to non-structural biologists.

3. Ability to read current literature quickly and translate emerging structural-AI methods (e.g., diffusion-based protein design, AlphaFold-Multimer) into practical internal workflows.

📌 Computational Protein Engineer (Pune)
🏢 Nucleovir Therapeutics
📍 Pune