Biology PhD Coding Experts

The Evolution of Scientific AI Benchmarks: Why Leading Labs Need Advanced Biological Expertise

Artificial intelligence is rapidly expanding past conversational text generation and basic coding assistants, entering the complex realms of advanced scientific computing, molecular biology, and genomic data processing. However, frontier AI models frequently struggle with sophisticated computational biology and multi-step research problems. To bridge this gap, leading AI research laboratories are partnering with specialized human domain experts to build rigorous evaluation benchmarks (Sci Code).

Platforms like Mercor are spearheading this movement by connecting world-class scientists, biochemists, and geneticists with cutting-edge tech projects. The Biology PhD Coding Experts role offers PhD and Master's level scientists a high-compensating opportunity to author original, executable research tasks. Paying an attractive $70 per hour on a flexible, remote contract basis, this position allows researchers to monetize their deep domain knowledge while directly shaping the next generation of scientific AI systems.

Detailed Job Description & Core Responsibilities

For research scientists, computational biologists, and academic professionals looking to transition into high-impact AI training and evaluation, understanding the core scope of this project is essential. The objective is to design original computational problems that challenge current state-of-the-art models, helping labs measure true scientific reasoning capabilities.

Key Responsibilities Include:

• Material Sourcing: Source original, high-level scientific material from published peer-reviewed journals, Kaggle datasets, open-source repositories, or meticulously designed experimental scenarios.
• Scientific Prompt Authoring: Write sophisticated, precise scientific prompts based on the gathered input material, focusing on subdomains such as ecology, biochemistry, and genetics.
• Grading Criteria Development: Build rigorous, automated grading and evaluation criteria that precisely define correct computational and biological outcomes.
• Model Calibration: Benchmark and calibrate tasks against frontier LLMs and AI models—ensuring a task only ships when current advanced models fail it more often than they succeed.
• Code Integration: Operate within modern developer workflows, utilizing Git/GitHub and executing code in Docker environments through structured pull-request workflows with automated quality checks.

Candidate Qualifications & Professional Requirements

Because these benchmarks serve as rigorous stress-tests for frontier AI systems, the qualifications demanded are suitably elite, ensuring that only true experts contribute to the datasets.

Engagement Structure, Project Terms, and Flexible Payouts

Operating as an independent contractor through Mercor offers exceptional autonomy combined with clear project timelines:

• Project Duration: A focused 6-week engagement designed to build robust initial testing benchmarks.
• Time Commitment: Part-time flexibility requiring 20+ hours per week, making it easily manageable alongside academic research or consulting work.
• Swift Weekly Compensation: Earn reliable, weekly remuneration processed securely via Stripe or Wise based strictly on services rendered.
• Seamless Onboarding: A streamlined 3-minute application followed by a brief 25-minute conversational interview to evaluate background and fit.

Why This Role Offers Unique Value to Biological Scientists

Many academic researchers and PhD graduates spend years producing groundbreaking work confined to traditional university labs or niche journal publications. Engaging with AI training allows you to pivot your expertise toward the tech industry without abandoning your scientific roots. By teaching AI how to parse genetic sequences, biochemical pathways, and ecological models, you become a foundational architect of future biomedical discovery tools.

Furthermore, the financial compensation is highly competitive. At $70 per hour for part-time work, scientific professionals can generate substantial supplemental income while working entirely on their own schedule from any remote location in the United States (please note H1-B or STEM OPT support is unavailable).

Secure Your Opportunity Today

High-paying, specialized science and AI contracts fill rapidly as early applicant pools close. If you hold a PhD in biological sciences and possess strong coding capabilities, take control of your research career and apply today.