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Expert Mentor – AI-Driven Drug Discovery & Computational Biology
Nano Science and Technology Consortium (NSTC)
Remote
₹1,000 - ₹3,000 a day
Contractual / Temporary, Freelance, Part-time

Job details

Here’s how the job details align with your profile.

Pay

₹1,000 - ₹3,000 a day

Job type

Contractual / Temporary
Freelance
Part-time

Benefits

Pulled from the full job description
Work from home
Flexible schedule

Full job description

Nano Science and Technology Consortium | Nanoschool(NSTC) is seeking experienced researchers, academicians, and industry professionals to collaborate as Expert Mentors for advanced workshops in AI-driven drug discovery, computational biology, and precision therapeutics.

The selected mentor will deliver research-focused virtual sessions for students, PhD scholars, academicians, and industry professionals, covering modern computational workflows and emerging technologies.

Key Responsibilities:

  • Conduct interactive online workshops and expert-led sessions.
  • Explain concepts related to AI/ML applications in drug discovery.
  • Provide practical demonstrations of computational workflows.
  • Guide learners through tools, databases, and research methodologies.
  • Share real-world research insights and industry applications.

Expertise Required:

  • AI/ML Applications in Drug Discovery
  • Computational Biology & Bioinformatics
  • Targeted Protein Degradation (TPD)
  • PROTACs & Molecular Glue Design
  • Structure-Based Drug Design
  • Molecular Docking & Virtual Screening
  • Protein–Ligand Interaction Analysis
  • Medicinal Chemistry & Precision Therapeutics

Eligibility:

  • PhD, Scientist, Faculty Member, Researcher, or Industry Professional.
  • Strong research background in computational biology/drug discovery.
  • Experience with research tools and computational workflows.
  • Ability to conduct engaging virtual teaching sessions.

Compensation:

Selected mentors will receive remuneration on a per-session basis.
Apply to become part of NanoSchool’s global mentor network and contribute to advanced research learning.

Pay: ₹1,000.00 - ₹3,000.00 per day

Benefits:

  • Flexible schedule
  • Work from home

Work Location: Remote

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