Life Sciences Research Scientist (PhD): Wet Lab & Computational Biology

Micro1; India; Remote; INR 8,451,000 - 14,085,000; Part time

Job summary

Cashback24x7 is seeking a Life Sciences Research Scientist (PhD) for remote global work combining wet lab and computational biology. You will train AI systems with high-quality scientific input, design rigorous problems, and assess model outputs for accuracy and reasoning across genomics, proteomics, and translational research.

The role emphasizes cross-disciplinary collaboration, development of rubrics, and adherence to scientific standards, with remote work worldwide and potential for

Qualifications

• PhD in Biology or a closely related life science field.
• Hands-on research experience in an academic, institutional, or industry laboratory.
• Professional written and spoken English (C1 or higher).

Responsibilities

• Design and write challenging, expert-level scientific problems in the life sciences, with clear, verifiable solutions.
• Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, catching subtle errors that non-specialists would miss.
• Develop detailed rubrics and reference answers grounded in primary literature and established experimental and computational methodology.
• Apply your domain expertise in areas such as genomics, transcriptomics and single-cell/spatial omics, epigenomics, proteomics and metabolomics, microbiome and metagenomics, structural biology, drug discovery, systems biology, and clinical/translational research.
• Bridge experimental and computational perspectives: assess whether a proposed experiment, analysis pipeline, or interpretation is scientifically sound.
• Provide clear written explanations of your reasoning so other experts can follow and validate it.
• Meet quality standards through iterative feedback and peer review.

Skills

Wet lab skills

Computational biology

Experiment design

Scientific writing

Education

PhD in Biology or related field

Job description

Job Title

Life Sciences Research Scientist (PhD): Wet Lab & Computational Biology

Job Type

Contractor

Location

Remote (Worldwide)

Job Summary

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.

Key Responsibilities

• Design and write challenging, expert-level scientific problems in the life sciences, with clear, verifiable solutions.
• Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, catching subtle errors that non-specialists would miss.
• Develop detailed rubrics and reference answers grounded in primary literature and established experimental and computational methodology.
• Apply your domain expertise in areas such as genomics, transcriptomics and single-cell/spatial omics, epigenomics, proteomics and metabolomics, microbiome and metagenomics, structural biology, drug discovery, systems biology, and clinical/translational research.
• Bridge experimental and computational perspectives: assess whether a proposed experiment, analysis pipeline, or interpretation is scientifically sound.
• Provide clear written explanations of your reasoning so other experts can follow and validate it.
• Meet quality standards through iterative feedback and peer review.

Required Qualifications (MUST)

• Completed PhD in Biology, Molecular Biology, Genetics, Genomics, Biochemistry, Bioinformatics, Computational Biology, Immunology, Neuroscience, Microbiology, or a closely related life science field.
• Hands-on research experience in an academic, institutional, or industry research laboratory.
• Professional written and spoken English (C1 or higher).

Strongly Preferred

• Wet lab experience: you have personally performed experiments (e.g., PCR/qPCR, cell culture, sequencing library prep, Western blot, protein purification, LC-MS sample prep, CRISPR workflows).
• Academic research experience: postdoctoral position, staff scientist, research faculty, or equivalent.
• Peer-reviewed publications, ideally as first or corresponding author.
• PhD from a top research university (US, UK, or other leading institutions).