Pharmacokinetics Systems Biology Expert

mercor; Deutschland; Remote; EUR 86,000 - 123,000; Part time

Job summary

Mercor is seeking an experienced contractor to design and calibrate computational problems for AI research. You will use libraries such as libRoadRunner and Tellurium to create challenging, multi-step workflows that test AI models.

Strong Python skills and Linux familiarity are required, with the ability to work remotely and asynchronously. The role involves independent problem design, calibration against cutting-edge models, and collaboration with AI teams to enhance data quality and model

Qualifications

• Graduate-level STEM degree (MS/PhD or equivalent).
• Proficiency with at least one listed scientific software library.
• Strong Python programming skills for problem setup and validators.
• Comfortable in a Linux/terminal environment and remote compute sandboxes.
• Experience with remote, asynchronous collaboration.

Responsibilities

• Design challenging computational problems using scientific libraries.
• Develop problems to test AI systems on multi-step scientific workflows.
• Calibrate tasks against state-of-the-art AI models and refine difficulty.
• Collaborate with AI research teams to improve model outputs.
• Work independently to meet deadlines and improve model performance.

Skills

Python programming

Linux/Unix

Scientific problem design

Education

MS/PhD in STEM

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.