Remote Biophysics Scientist — Stochastic Growth Modeling

RemoteJobsOne; Amsterdam; Remote; EUR 117,000 - 194,000; Part time

Job summary

RemoteJobsOne is seeking a Physics Expert (Biophysics / Statistical Physics) for remote contractor work on a research-level project. You will model bacterial population dynamics, explore growth-rate switching, and contribute to AI training inputs with high-quality, real-world data.

Responsibilities include developing Markov-based models, applying Euler-Lotka analysis, and performing first-passage-time studies to quantify growth and size regulation under noise.

Qualifications

• Advanced expertise in statistical physics, biophysics, or related quantitative biological modeling.
• Experience with two-state Markov models and gamma-distributed waiting times in biological or physical systems.
• Strong knowledge of the Euler-Lotka equation, perturbative expansions, and renewal theory.
• Ability to perform first-passage-time analysis and interpret implications for growth dynamics.

Responsibilities

• Analyze and model stochastic two-state Markov processes with gamma-distributed waiting times.
• Apply Euler-Lotka equation to assess asymptotic growth rates under noise regimes.
• Develop or review analytical approaches using perturbative expansions with small division-noise variance.
• Integrate renewal theory and first-passage-time analysis to derive insights on growth and size control.
• Document methods, assumptions, and findings for AI training and reproducibility.

Skills

Statistical physics

Biophysics

Stochastic modeling

Two-state Markov models

First-passage-time analysis

Euler-Lotka equation

Renewal theory

Job description

RemoteJobsOne is seeking a Physics Expert (Biophysics / Statistical Physics) for remote contractor work on a research-level project. You will model bacterial population dynamics, explore growth-rate switching, and contribute to AI training inputs with high-quality, real-world data.

Responsibilities include developing Markov-based models, applying Euler-Lotka analysis, and performing first-passage-time studies to quantify growth and size regulation under noise.