Computational Biologist - Fully Remote | Upto $100/hr

mercor; France; Remote; EUR 86,000 - 123,000; Full time

Job summary

Mercor connects elite talent with AI research labs. A remote contract role focuses on designing computational problems using libRoadRunner, Tellurium, and SBML tools. You will calibrate tasks to AI models and work with research teams to improve outputs and data quality.

Requires MS/ PhD in STEM, strong Python, and Linux experience. Expect 15-20 hours per week with flexible remote collaboration.

Qualifications

• MS/PhD or equivalent research in a STEM field.
• Proficiency with at least one listed scientific software library.
• Strong Python for problem setups, oracle functions and validators.
• Ability to work independently and iterate on problem designs.
• Comfortable in Linux/terminal with remote compute sandboxes.

Responsibilities

• Design challenging computational problems using scientific software libraries.
• Develop problems that test AI systems' ability to implement multi-step workflows and reasoning.
• Calibrate tasks against state-of-the-art AI models and refine difficulty.
• Collaborate with AI research teams to improve model outputs and training data quality.
• Work independently and asynchronously to meet deadlines and improve model performance.

Skills

Python programming

Independent work

Scientific software proficiency

Linux/Unix

Education

MS or PhD in a relevant STEM field

Tools

libRoadRunner

Tellurium

SBML 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.