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Molecular Biologist

India, Noida · Job Posted May 03, 2026
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Job Description

Join our team as a Molecular Biologist, specializing in CRISPR and gene editing, to advance cutting-edge projects and contribute to AI training initiatives. You will leverage your expertise to design, execute, and optimize molecular biology workflows, supporting innovative research and development efforts.

Job Responsibility

  • Lead the design, optimization, and execution of CRISPR-based gene editing experiments
  • Develop and implement cloning strategies to generate novel constructs and cell lines
  • Perform genotyping, PCR-based assays, and sequence analyses to validate genetic modifications
  • Design synthetic DNA/RNA sequences and contribute to screening logic for high-throughput workflows
  • Collaborate with interdisciplinary teams to translate experimental data into structured formats for AI model training
  • Apply molecular biology techniques to study and characterize molecules, organelles, and cellular organization
  • Document experimental procedures and results with exceptional clarity and precision, supporting reproducibility and knowledge transfer

Requirements

  • Expertise in CRISPR technology and gene editing workflows
  • Extensive hands-on experience with cloning, genotyping, and PCR-based assays
  • Strong background in sequence design and molecular screening strategies
  • Excellent written and verbal communication skills, with keen attention to scientific detail
  • Ability to research and analyze molecular and organelle functions within cells
  • Demonstrated commitment to data accuracy, workflow optimization, and experimental rigor
  • Self-driven and collaborative, with a track record of contributing to high-impact research projects
  • Bachelor’s degree or higher in Molecular Biology, Biology, or a related field

Nice to have

  • Experience with the development or evaluation of rubrics, especially for AI and data annotation workflows
  • Familiarity with designing datasets or protocols for AI training and human review processes
  • Previous collaboration with interdisciplinary or remote teams on data-driven biology projects

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