Computational Statistics Expert - PhD

mercor; Deutschland; Remote; EUR 18,000 - 25,000; Full time

Job summary

Mercor is seeking a Computational Statistics and Applied Mathematics Expert to design challenging computational problems and evaluate AI's ability to produce reproducible numerical results. The role is contract-based and remote, requiring 15–20 hours per week with compensation of $70–$90 per hour.

Ideal candidates hold graduate-level training in statistics or applied mathematics, possess strong Python skills, and can operate in a Linux environment with remote compute sandboxes.

Qualifications

• Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
• Proven proficiency with at least one specialized software package through research publications or professional work.
• Strong Python skills for writing problem setups and solution validators.
• Ability to work independently in a Linux/terminal environment with remote compute sandboxes.
• Available for at least 15–20 hours per week.

Responsibilities

• Design challenging computational problems using specialized statistical, mathematical, or scientific software packages.
• Evaluate AI's ability to compute reproducible numerical answers and carry out complex workflows.
• Develop problems requiring strategic planning for information discovery and efficient problem-solving.
• Test and refine problems against state-of-the-art AI models to achieve target difficulty.
• Work independently and asynchronously to refine problem designs based on feedback.

Skills

Statistics

Applied Mathematics

Python

Linux

Education

Graduate-level training in statistics or applied mathematics

Tools

Python

Linux/Terminal

Research software packages

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 Statistics and Applied Mathematics Expert (R, Python, and Matlab/Scilab) Type: Contract Compensation: $70–$90/hour Location: Remote Commitment: 15–20 hours/week

Role Responsibilities

• Design challenging computational problems using specialized statistical, mathematical, or scientific software packages.
• Evaluate AI's ability to compute reproducible numerical answers and carry out complex workflows.
• Develop problems requiring strategic planning for information discovery and efficient problem-solving.
• Test and refine problems against state-of-the-art AI models to achieve target difficulty.
• Work independently and asynchronously to refine problem designs based on feedback.

Qualifications Must-Have

• Graduate-level training in statistics, applied mathematics, or a relevant STEM field.
• Proven proficiency with at least one specialized software package through research publications or professional work.
• Strong Python skills for writing problem setups and solution validators.
• Ability to work independently in a Linux/terminal environment with remote compute sandboxes.
• Available for at least 15–20 hours per week .

Preferred

• Experience across multiple computational domains or specialized software packages.
• Familiarity with benchmark or evaluation design.
• Background in scientific teaching or exam/problem-set design.
• Experience with computational reproducibility and containerized environments.

PS: Our team reviews applications daily.

Originally posted on Himalayas