Computational Bayesian & Applied Math Specialist (Remote)

mercor; United States; Remote; USD 96,000 - 138,000; Full time

Job summary

Mercor offers a remote contract role focused on computational Bayesian statistics and applied mathematics. The expert will design challenging problems, utilize software libraries, and validate solutions with AI models in a scientific computing context.

The position requires MS/PhD in a STEM field and strong Python skills, with proficiency in PyMC or FEniCS. Remote work with a commitment of 15–20 hours per week is expected.

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 challenging computational problems to test AI capabilities in solving scientific and engineering tasks.
• Develop problems requiring the use of specialized scientific software for simulations and experiment design.
• Refine problems through iterative testing against state-of-the-art AI models to achieve target difficulty.
• Collaborate on creating tasks that require strategic thinking and efficient information extraction.
• Work independently to enhance problem designs based on feedback and model performance.

Skills

Python programming

Independent work

Problem design

Linux/Unix familiarity

Education

MS/PhD in STEM

Tools

PyMC

FEniCS

Job description

Mercor offers a remote contract role focused on computational Bayesian statistics and applied mathematics. The expert will design challenging problems, utilize software libraries, and validate solutions with AI models in a scientific computing context.

The position requires MS/PhD in a STEM field and strong Python skills, with proficiency in PyMC or FEniCS. Remote work with a commitment of 15–20 hours per week is expected.