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Pharmacokinetics Expert - Systems Biology - AI Trainer

Mercor

Role overview

Qualifications

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience)
  • Proven proficiency with at least one of the listed scientific software libraries
  • Strong Python skills
  • Ability to work independently and refine problem designs

Responsibilities

  • Design challenging computational problems to test AI systems using real scientific software
  • Develop problems requiring the skilled use of specialized software like libRoadRunner, Tellurium, or SBML-based tools
  • Evaluate and refine problems through testing loops against state-of-the-art AI models
  • Collaborate to ensure problems require strategic thinking and smart reasoning

About the company

Mercor logo

Mercor

Job Boards & Talent Marketplaces

Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

Company details

IndustryJob Boards & Talent Marketplaces
Company size51 - 200

Links

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Job description

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: Computational Pharmacokinetics & Systems Biology Expert
Type: Contract
Compensation: $70–$85/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems to test AI systems using real scientific software.
  • Develop problems requiring the skilled use of specialized software like libRoadRunner, Tellurium, or SBML-based tools.
  • Evaluate and refine problems through testing loops against state-of-the-art AI models.
  • Collaborate to ensure problems require strategic thinking and smart reasoning.
  • Work independently to refine problem designs based on feedback.
  • Operate comfortably in a Linux/terminal environment with remote compute sandboxes.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one of the listed scientific software libraries.
  • Strong Python skills.
  • Ability to work independently and refine problem designs.
  • Comfortable in a Linux/terminal environment.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific teaching 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: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

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



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Marcus Rivera

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