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

mercor; Deutschland; Remote; EUR 98,000 - 135,000; Full time

Job summary

Mercor seeks a Stochastic Biophysics Physicist (PhD) for a remote 8–10 week contract. You will address research-level problems in stochastic autocatalytic growth using advanced methods and collaborate with experts to verify results.

Applicants should have a PhD in a related field, a publications record with first-author papers, and proficiency in LaTeX, Python, SymPy, and Jupyter. English at 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.
• 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

VS Code

Education

PhD in biophysics

Tools

VS Code

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