Stochastic Biophysics Phd - Expert

Mercor; San Francisco (CA); Hybrid; GBP 83,000 - 115,000; Part time

Job summary

Mercor seeks a Stochastic Biophysics Physicist (PhD) for a remote, contract engagement. You will evaluate research-level problems in stochastic autocatalytic growth and reaction-network dynamics, using advanced methods and publications to verify results.

The role requires a PhD in biophysics, statistics, or applied mathematics, strong Python/LaTeX skills, and first-author papers. You will work independently with flexible hours over 8–10 weeks, at about 10 hours per week.

Qualifications

• PhD in biophysics, statistical physics, applied mathematics, or related field.
• First-author papers; verifiable publication record.
• 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

English (B2+)

Stochastic growth

Reaction-network dynamics

Education

PhD in biophysics / statistical physics / applied mathematics

Tools

VS Code extension

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: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [e-mail]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.