Computational Biologist - Fully Remote | Upto $100/hr

mercor; United States; Remote; USD 96,000 - 138,000; Part time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. This remote contract role asks for graduate-level STEM training and strong Python skills to design and calibrate complex scientific problems.

Work 15-20 hours per week, collaborating asynchronously with AI researchers to improve model performance and data quality. Prior experience with scientific software is valued and Linux familiarity is required.

Qualifications

• Graduate-level training in a STEM field (MS/PhD) or equivalent research experience.
• Proficiency with at least one listed scientific software library, evidenced by publications or open-source work.
• Strong Python skills for problem setups and validators.
• Linux/terminal experience and ability to work remotely.

Responsibilities

• Design computational problems using scientific libraries like libRoadRunner or Tellurium.
• Develop problems to test AI systems' ability to perform complex scientific workflows.
• Calibrate tasks against AI models to hit target difficulty.
• Collaborate with AI research teams to improve outputs and data quality.
• Work independently and asynchronously to meet deadlines.

Skills

Python programming

Independent work

Linux/Unix

Research publications

Education

MS or PhD in STEM

Tools

libRoadRunner

Tellurium

SBML-based tools

Job description

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 15-20 hours/week

Role Responsibilities

• 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

Must-Have

• 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.

Preferred

• 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.