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 for AI to solve using real scientific software.
- Develop problems requiring strategic planning and execution of multi-step workflows .
- Test and refine problems against state-of-the-art AI models to achieve target difficulty.
- Utilize libRoadRunner , Tellurium , or SBML-based tools for compartmental PK/PD modeling and systems biology simulations .
- Work independently to refine problem designs based on feedback.
- Collaborate asynchronously and maintain flexible hours .
Qualifications Must-Have
- Graduate-level training in a relevant STEM field ( MS , PhD , or equivalent research experience).
- Proven proficiency with at least one listed scientific software library.
- Strong Python skills.
- Ability to work in a Linux/terminal environment with remote compute sandboxes.
- Available for at least 15–20 hours/week .
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.
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Systems Biology Specialist - Fully Remote | Upto $85/hr Arbeitgeber: Mercor
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem innovativen Umfeld zu arbeiten, das sich auf die Entwicklung hochrealistischer Marketing-Simulationsumgebungen konzentriert. Unsere Unternehmenskultur fördert Kreativität und Zusammenarbeit, während wir gleichzeitig individuelle Wachstumschancen durch Schulungen und Zertifizierungen wie Rubric Academy oder Bootcamp anbieten. Bei uns haben Sie die Chance, Ihre praktischen Erfahrungen im Produktmarketing einzubringen und an spannenden Projekten zu arbeiten, die die Zukunft der KI-gestützten Marketinglösungen gestalten.
