Remote Computational Bayesian & Applied Mathematics Expert

Mercor

Greater London

Remote

GBP 72,795 - 103,993

Part time

14 days+

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Job summary

Mercor is seeking a Computational Bayesian Statistics and Applied Mathematics Expert to work remotely. The position entails designing computational problems to test AI capabilities, developing complex simulations, and working independently to refine problem designs. Ideal candidates should hold a graduate-level degree in a STEM field, be proficient in scientific software and Python, and be available for 15-20 hours per week.

This role offers competitive compensation of $70–$100 per hour, depending on experience. Join us at Mercor to push the boundaries of AI in science and engineering!

Qualifications

  • Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
  • Proven proficiency with at least one scientific software library (PyMC, FEniCS, etc.).
  • Strong Python skills for writing problem setups and solution validators.

Responsibilities

  • Design computational problems to test AI capabilities in scientific and engineering tasks.
  • Develop problems requiring the use of specialized scientific software for simulations.
  • Work independently to enhance problem designs based on feedback.

Skills

Python
Scientific software libraries
Linux/terminal environment

Education

Graduate-level training in relevant STEM field (MS, PhD)

Tools

PyMC
FEniCS

Job description

Mercor is seeking a Computational Bayesian Statistics and Applied Mathematics Expert to work remotely. The position entails designing computational problems to test AI capabilities, developing complex simulations, and working independently to refine problem designs. Ideal candidates should hold a graduate-level degree in a STEM field, be proficient in scientific software and Python, and be available for 15-20 hours per week.

This role offers competitive compensation of $70–$100 per hour, depending on experience. Join us at Mercor to push the boundaries of AI in science and engineering!

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