Computational Biologist - Fully Remote | Upto $100/hr

About the job

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 .

Position: STEM Computational Scientific Software & Evaluation Design - Pharmacokinetics & Systems Biology
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.

Application Process (Takes 20–30 mins to complete)

- Upload resume

- AI interview based on your resume

- Submit form

Resources & Support

- For details about the interview process and platform information, please check:

- For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas