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Molecular Biology Experts - US

Company: Mercor · Pay: $70–$105/hr · Location: Remote — Global · Type: contractor · Posted: 2026-09-14

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$70 - $105 / hr

The Convergence of Life Sciences and Artificial Intelligence: Shaping the Future of GenAI

The relentless expansion of generative artificial intelligence is no longer confined to natural language processing and software engineering. Today, the world's most advanced AI labs are pushing the boundaries into foundational biological intelligence, synthetic biology, and complex genomics. Building foundational AI models from the ground up requires more than massive computing clusters and large language architectures; it demands elite human domain expertise. Scientists, geneticists, and molecular biologists are stepping into pivotal roles, guiding neural networks to master the intricate mechanisms of life.

For research scientists, post-doctoral fellows, and molecular biology authorities looking to leverage their hard-earned academic rigor outside traditional bench science or tenure-track constraints, groundbreaking remote opportunities have emerged. Platforms like Mercor are pairing top-tier scientific talent with cutting-edge AI labs through streamlined, high-compensation consulting roles. Positions such as the Molecular Biology Expert role offer an exceptional compensation package ranging from $70 to $105 per hour, combining remote autonomy with transformative work in artificial intelligence.

Detailed Job Overview & Core Responsibilities

Understanding the architecture of this role is crucial for life science professionals considering a transition into AI training and model evaluation. Unlike generalized data annotation jobs, this position requires deep, hands-on mastery of nucleic acid design, genetic engineering protocols, and advanced biochemical reasoning.

Key Responsibilities:

  • Model Troubleshooting & Gap Analysis: Work directly with leading research and engineering teams to identify exact breakpoints where an AI model's biological reasoning falters, formulating strategies to close those gaps.
  • Ground Truth Task Design: Construct rigorous, domain-relevant benchmark tasks and author meticulous, well-documented solutions. This spans precise sequence designs including primers for PCR, qPCR, and cloning; plasmids and expression vectors; gRNA and sgRNA for CRISPR editing; mRNA constructs; and HDR repair templates.
  • Output Auditing & Rigor Assessment: Review complex molecular biology tasks and model-generated outputs against expert-quality solutions, delivering clear written feedback regarding biological correctness, thermodynamic accuracy, and logical rigor.
  • Rubric & Guideline Creation: Author foundational guidelines and evaluation rubrics utilized to judge sequence design quality—covering parameters such as target selection, homology arm length, primer melting temperature (Tm), specificity, codon optimization, and regulatory elements.
  • Cross-Functional Collaboration: Partner alongside other interdisciplinary subject matter experts to ensure training datasets maintain uncompromised consistency, accuracy, and scientific validity.

Candidate Requirements: What It Takes to Qualify

Because these frontier models power next-generation biotech and computational biology research, the qualification requirements are tailored for elite practitioners in the life sciences.

Core Qualifications:
  • Advanced Academic Degree: An advanced degree in molecular biology, genetics, biochemistry, synthetic biology, bioengineering, or a related life science field (PhD is strongly preferred).
  • Hands-On Sequence Design Experience: Proven practical experience designing nucleic acid constructs prior to experimental execution across several modalities: primers, plasmids and vectors, gRNA/sgRNA, mRNA, and HDR repair templates, paired with mastery of cloning strategies (Gibson, Golden Gate, Gateway, restriction digests) and codon optimization.
  • Publication Record: A strong peer-reviewed publication record, weighted toward first-author contributions in prominent scientific venues such as Nature and the Nature family, Cell, eLife, Nucleic Acids Research, PNAS, and the EMBO Journal (applicants are encouraged to include publication links).
  • Time Commitment: Ability to reliably commit to a minimum of 20 hours per week during standard weekdays.
  • Communication Skills: Exceptional written communication abilities, with a proven talent for articulating complex scientific reasoning and design justifications with absolute precision.

Employment Structure, Compensation, and Global Flexibility

Navigating career flexibility while maintaining financial security is a top priority for high-level researchers. The operational framework behind this Mercor opportunity balances structured stability with professional freedom:

  • W-2 Employment via Cincinnatus LLC: Employment is facilitated through Cincinnatus LLC, an enterprise staffing partner that acts as the employer of record. This provides secure W-2 status, comprehensive payroll, compliance management, and benefits while placing you directly within elite client teams.
  • Complete Remote Autonomy: Execute your evaluation milestones on your own flexible schedule from any location within the United States (note: H1-B or STEM OPT support is currently unavailable).
  • Reliable Weekly Payouts: Earnings are disbursed on a weekly basis via dependable global payment rails including Stripe and Wise, ensuring transparent and prompt compensation for all services rendered.

Why This Role Maximizes Your Scientific Impact and Earning Potential

Years spent navigating complex doctoral research, designing plasmids, troubleshooting failed PCR runs, and publishing peer-reviewed manuscripts represent an immense store of intellectual capital. Traditional academic and industrial career paths often come with rigid institutional hierarchies, grant-writing burdens, and stagnant compensation structures. Conversely, AI training contracts allow you to monetize your rigorous scientific training purely on an intellectual, analytical level.

Engaging directly with premier AI laboratories keeps your career at the absolute vanguard of computational biology. As machine learning models increasingly revolutionize drug discovery, synthetic biology, and genetic therapeutics, having foundational experience in AI model evaluation positions you as a pioneer at the intersection of tech and life sciences—all while earning an elite rate of $70 to $105 per hour.

Take the Next Step in Your Scientific Career Journey

High-paying independent contract and W-2 opportunities in computational biology and AI training are in exceptionally high demand, with early applicant slots filling rapidly. If you possess a distinguished background in molecular biology, genetics, or biochemistry and want to shape the future of artificial intelligence on your own terms, now is the time to submit your application.

Responsibilities

  • Model Troubleshooting & Gap Analysis: Work directly with leading research and engineering teams to identify exact breakpoints where an AI model's biological reasoning falters, formulating strategies to close those gaps.
  • Ground Truth Task Design: Construct rigorous, domain-relevant benchmark tasks and author meticulous, well-documented solutions. This spans precise sequence designs including primers for PCR, qPCR, and cloning; plasmids and expression vectors; gRNA and sgRNA for CRISPR editing; mRNA constructs; and HDR repair templates.
  • Output Auditing & Rigor Assessment: Review complex molecular biology tasks and model-generated outputs against expert-quality solutions, delivering clear written feedback regarding biological correctness, thermodynamic accuracy, and logical rigor.
  • Rubric & Guideline Creation: Author foundational guidelines and evaluation rubrics utilized to judge sequence design quality—covering parameters such as target selection, homology arm length, primer melting temperature (Tm), specificity, codon optimization, and regulatory elements.
  • Cross-Functional Collaboration: Partner alongside other interdisciplinary subject matter experts to ensure training datasets maintain uncompromised consistency, accuracy, and scientific validity.

Qualifications

  • Advanced Academic Degree: An advanced degree in molecular biology, genetics, biochemistry, synthetic biology, bioengineering, or a related life science field (PhD is strongly preferred).
  • Hands-On Sequence Design Experience: Proven practical experience designing nucleic acid constructs prior to experimental execution across several modalities: primers, plasmids and vectors, gRNA/sgRNA, mRNA, and HDR repair templates, paired with mastery of cloning strategies (Gibson, Golden Gate, Gateway, restriction digests) and codon optimization.
  • Publication Record: A strong peer-reviewed publication record, weighted toward first-author contributions in prominent scientific venues such as Nature and the Nature family, Cell, eLife, Nucleic Acids Research, PNAS, and the EMBO Journal (applicants are encouraged to include publication links).
  • Time Commitment: Ability to reliably commit to a minimum of 20 hours per week during standard weekdays.
  • Communication Skills: Exceptional written communication abilities, with a proven talent for articulating complex scientific reasoning and design justifications with absolute precision.

Apply now →