Systems Biology Specialist - Fully Remote | Upto $85/hr

mercor; Deutschland; Remote; EUR 86,000 - 104,000; Full time

Job summary

Mercor is seeking a Computational Pharmacokinetics & Systems Biology Expert for a remote, contract role. You will design computational problems for AI, develop workflows, and test solutions against state-of-the-art models using PK/PD and systems biology simulations.

Requirements include MS or PhD, proficiency with scientific software libraries, strong Python, and Linux/terminal experience. Availability of 15–20 hours/week is required; candidates should be comfortable working asynchronously with

Qualifications

• MS or PhD in a relevant STEM field (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.

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 PK/PD modeling and systems biology simulations.
• Work independently to refine problem designs based on feedback.
• Collaborate asynchronously and maintain flexible hours.

Education

MS or PhD in a relevant STEM field

Tools

Python

libRoadRunner

Tellurium

Linux terminal

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 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.