Biologist | Remote - Contract

Xperteez Technology Pvt Ltd; United States; Remote; USD 55,000 - 83,000; Full time

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

Role Title: Biologist

Role Type: Contractor

Location: Remote

We are engaging Biologists to contribute their cellular and molecular biology expertise to an innovative customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity places a strong emphasis on both written and verbal communication, as you will help define and assess expert-level scientific content. Professionals with hands‑on wet lab and CRISPR experience are especially encouraged to participate.

Required Skills Biology Molecular Biology Wet Labs Crispr Cell Biology

Key Responsibilities

• 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.

Required Skills and Qualifications

• 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, Cell Biology, or a related field.

Preferred Qualifications

• 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.

Originally posted on Himalayas