Remote Biologist for AI Training Data (CRISPR)

Xperteez Technology Pvt Ltd

United States

Remote

USD 55,000 - 83,000

Full time

4 days ago
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Job summary

Xperteez Technology Pvt Ltd is seeking a Biologist contractor to apply cellular and molecular biology expertise to an AI-focused project. Remote work is available, with a strong emphasis on clear scientific communication and rigorous data handling.

Experience with wet labs and CRISPR is encouraged to contribute to model training and data annotation workflows. The role centers on designing, validating, and documenting experiments while collaborating across interdisciplinary teams to shape AI

Qualifications

  • Bachelor's degree in Molecular Biology, Cell Biology, or a related field.
  • Hands-on wet lab experience and CRISPR knowledge.
  • Ability to document procedures with precision.
  • Strong written and verbal communication skills.
  • Self-driven and collaborative with a data-driven mindset.

Responsibilities

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

Skills

CRISPR technology
Molecular biology
Wet labs
Cell biology
Science communication

Education

Bachelor's degree in Molecular Biology

Job description

Xperteez Technology Pvt Ltd is seeking a Biologist contractor to apply cellular and molecular biology expertise to an AI-focused project. Remote work is available, with a strong emphasis on clear scientific communication and rigorous data handling.

Experience with wet labs and CRISPR is encouraged to contribute to model training and data annotation workflows. The role centers on designing, validating, and documenting experiments while collaborating across interdisciplinary teams to shape AI

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