Molecular Biology Expert

Micro1; India; Remote; INR 1,378,000 - 3,582,000; Full time

Job summary

Cashback24x7 is seeking a Molecular Biology Expert to contribute to AI training data as a contractor. This remote role focuses on applying domain knowledge to review data, develop content, and provide realistic real-world scenarios.

The position emphasizes scientific accuracy, collaboration with technical teams, and staying current with molecular biology methods such as PCR, sequencing, and CRISPR. Advanced degree preferred; strong writing and communication skills required.

Qualifications

• Advanced degree in Molecular Biology, Biochemistry, Genetics, or related life science field.
• Proven ability to design experiments, analyze data, and interpret results.
• Experience with PCR, sequencing, CRISPR, or protein analysis.
• Strong scientific writing, publishing, or peer-review record.
• Clear communication of complex concepts to diverse audiences.
• Experience collaborating on multi-expert projects.
• Curiosity about AI technologies and data-driven AI training.

Responsibilities

• Review and analyze molecular biology data, experimental protocols, and literature for relevance and accuracy.
• Develop high-quality content, annotations, and explanations based on current concepts and findings.
• Evaluate AI-generated outputs for scientific validity and alignment with standards.
• Provide detailed feedback to improve AI system understanding.
• Create or curate real-world scenarios and datasets reflecting key molecular biology challenges.
• Collaborate with technical teams to refine deliverables and ensure scientific excellence.
• Contribute insights on emerging molecular biology trends for AI applications.

Skills

PCR techniques

Sequencing

CRISPR

Protein analysis

Scientific writing

Data interpretation

Interdisciplinary collaboration

AI interest

Education

MS/PhD in Molecular Biology or related field

Job description

Job Description

Role Title: Molecular Biology Expert

Role Type: Contractor

Location: Remote

micro1 is engaging Molecular Biology Experts to contribute to a customer's project focused on advancing AI technology with authentic, expert-driven data. 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.

Scope of Work

• Review and analyze molecular biology data, experimental protocols, and scientific literature for relevance and accuracy.


• Develop high-quality content, annotations, and explanations based on current molecular biology concepts, techniques, and findings.


• Evaluate AI-generated outputs for scientific validity, clarity, and alignment with established molecular biology standards.


• Provide detailed feedback on molecular biology topics to improve AI system understanding and performance.


• Create or curate real-world scenarios, questions, and datasets reflecting key molecular biology challenges.


• Collaborate with technical teams to refine project deliverables and ensure scientific excellence.


• Contribute insights on emerging molecular biology trends and applications as needed.

Preferred Qualifications

• Advanced degree (MS, PhD, or equivalent) in Molecular Biology, Biochemistry, Genetics, or a related life science field.


• Demonstrated expertise in experimental design, data analysis, and interpretation of molecular biology results.


• Strong familiarity with contemporary laboratory techniques such as PCR, sequencing, CRISPR, or protein analysis.


• Proven track record of scientific writing, publishing, or peer review in molecular biology or related disciplines.


• Ability to communicate complex scientific concepts clearly and accurately for diverse audiences.


• Experience collaborating across interdisciplinary teams or contributing to multi-expert projects is an asset.


• Curiosity about AI technologies and enthusiasm for shaping their application within the molecular biology domain.