Biophysics Researcher - Fully Remote | Up to $110/hr

mercor; France; Remote; EUR 98,000 - 135,000; Part time

Job summary

Mercor is seeking a Stochastic Biophysics Physicist (PhD) for a remote contract of 8–10 weeks, about 10 hours/week. You will tackle research-level problems in stochastic growth, using master equations and branching processes, with independent work and no fixed hours.

Candidates must have a PhD in biophysics or related field, a strong publication record with first-author papers, and proficiency in LaTeX, Python, SymPy, and Jupyter. English at least B2 is required.

Qualifications

• PhD in biophysics, statistical physics, applied mathematics, or closely related field.
• Published work on stochastic growth or reaction-network dynamics.
• Verifiable publication record with first-author papers.
• Working proficiency with LaTeX, Python, SymPy, and Jupyter.
• English at B2 or above, including written reasoning.

Responsibilities

• Evaluate research-level physics problems in stochastic autocatalytic growth and related areas.
• Develop and solve complex problems using chemical master equation, branching processes, and other advanced methods.
• Review and audit completed work for accuracy and completeness in reaction-network dynamics.
• Collaborate with specialists to ensure independent verification of written reasoning.
• Work independently and asynchronously to meet deadlines without fixed hours.

Skills

LaTeX

Python

SymPy

Jupyter

Education

PhD in biophysics

Published work on stochastic growth or reaction-network dynamics

First-author publications

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: Stochastic Biophysics Physicist (PhD) Type: Contract Compensation: $80–$110/hour Location: Remote Duration: 8 to 10 weeks Commitment: 10 hours/week

Role Responsibilities

• Evaluate research-level physics problems in stochastic autocatalytic growth and related areas.
• Develop and solve complex problems using chemical master equation , branching processes , and other advanced methods.
• Review and audit completed work for accuracy and completeness in reaction-network dynamics .
• Collaborate with specialists to ensure independent verification of written reasoning.
• Work independently and asynchronously to meet deadlines without fixed hours.

Qualifications Must-Have

• PhD in biophysics, statistical physics, applied mathematics , or a closely related field.
• Published work on stochastic growth or reaction-network dynamics .
• Verifiable publication record with first-author papers.
• Working proficiency with LaTeX , Python , SymPy , and Jupyter .
• English at B2 or above , including written reasoning.

Preferred

• Familiarity with an agentic coding extension in VS Code .

Application Process (Takes 20–30 mins to complete)

• Apply and complete the attached form with basic information and research experience.
• Provide an arXiv ID or DOI of your own paper as proof.
• We verify your papers and authorship against the public record.
• Onboard directly or invited to a short live alignment call.
• A brief 30 to 45 minute assessment may be added if needed.

Resources & Support

• For details about the interview process and platform information, please check:
• For any help or support, reach out to:

Originally posted on Himalayas