[Hiring] Computational Biologist @Mercor

Role Description

• Design challenging computational problems using domain-specific scientific software libraries like libRoadRunner, Tellurium, or SBML-based tools.
• Develop problems that test AI systems' ability to implement complex multi-step scientific workflows and strategic reasoning.
• Calibrate tasks against state-of-the-art AI models, refining problem design to achieve target difficulty.
• Collaborate with AI research teams to improve model outputs and training data quality.
• Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

• Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
• Proficiency with at least one listed scientific software library, evidenced by research publications, open-source contributions, or professional work.
• Strong Python programming skills for writing problem setups, oracle functions, and solution validators.
• Ability to work independently and iterate on problem designs based on calibration feedback.
• Comfortable in a Linux/terminal environment with remote compute sandboxes.

Requirements

• Experience across multiple listed domains or tools.
• Familiarity with benchmark or evaluation design.
• Background in scientific pedagogy or exam/problem-set design.
• Experience with computational reproducibility and containerized environments.

Benefits

• Compensation: $70–$100/hour
• Location: Remote
• Commitment: 15–20 hours/week

Application Process

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: Interview Process
• For any help or support, reach out to: [email protected]
• PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.