Remote Biophysics Research Scientist — Stochastic Growth

Obsidian; New York (NY); Remote; USD 110,000 - 152,000; Part time

Job summary

Obsidian is seeking researchers with a PhD in biophysics, statistical physics, or applied mathematics to work on research-level physics problems. You will prepare rigorous problem sets, perform analyses, and provide verifiable demonstrations of your methods.

This is remote, 10 hours per week for 8–10 weeks, with competitive pay and flexible scheduling. Applicants should list 3–5 representative papers with arXiv IDs or DOIs, show proficiency in LaTeX, Python, SymPy and Jupyter, and demonstrate

Qualifications

• 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 arXiv IDs or DOIs.
• Proficiency in LaTeX, Python, SymPy and Jupyter.
• English at B2 or higher.

Responsibilities

• Match applicants to one area with narrowly defined research problems.
• Review and possibly create research-grade problems and solutions.
• Provide complete reasoning for every assignment so others can verify.
• Maintain a high standard of written argument and methodology.

Skills

LaTeX

Python

SymPy

Jupyter

Education

PhD in biophysics, statistical physics, applied mathematics or closely related field

Tools

VS Code

Job description

Obsidian is seeking researchers with a PhD in biophysics, statistical physics, or applied mathematics to work on research-level physics problems. You will prepare rigorous problem sets, perform analyses, and provide verifiable demonstrations of your methods.

This is remote, 10 hours per week for 8–10 weeks, with competitive pay and flexible scheduling. Applicants should list 3–5 representative papers with arXiv IDs or DOIs, show proficiency in LaTeX, Python, SymPy and Jupyter, and demonstrate