Remote | Physics Expert (Biophysics / Statistical Physics) — $80–$160/hour
About The Position
We are sharing a specialised consulting opportunity for experienced Physics Experts in biophysics, statistical physics, stochastic processes, and quantitative biological modelling with strong expertise in two-state stochastic models, Euler–Lotka analysis, perturbative methods, renewal theory, and first-passage-time techniques. Selected professionals will contribute to a research-level project focused on bacterial population growth, stochastic growth-rate switching, cell-size regulation noise, and asymptotic population dynamics. Contributors may participate as Solvers, Auditors, or Adjudicators depending on expertise and seniority. No prior experience in AI is required.
Requirements
- Advanced expertise in statistical physics, biophysics, or a closely related quantitative discipline
- Strong experience modelling stochastic biological or physical systems
- Familiarity with two-state stochastic models and gamma-distributed waiting times
- Strong command of Euler–Lotka analysis
- Experience with perturbative expansions, renewal theory, and first-passage-time methods
- Familiarity with bacterial population dynamics or cell-growth models is highly valuable
- Strong understanding of growth-rate fluctuations and cell-size regulation noise
- Excellent mathematical, analytical, and scientific-writing skills
- Ability to document complex derivations and assumptions clearly
- No prior AI-training or model-evaluation experience is required
Responsibilities
- Analyse two-state stochastic processes, growth-rate switching, and gamma-distributed waiting times
- Model bacterial growth, division, and long-term population dynamics
- Apply Euler–Lotka analysis to asymptotic growth under different stochastic regimes
- Evaluate how generation-time variability and growth fluctuations affect population behaviour
- Connect microscopic stochastic mechanisms with macroscopic growth predictions
- Develop and review perturbative expansions in small division-noise variance
- Apply renewal theory to repeated stochastic growth and division events
- Use first-passage-time methods to analyse threshold crossing, division timing, and size regulation
- Evaluate approximation limits, neglected terms, and alternative derivations
- Compare analytical predictions with exact or numerical results where appropriate
- Develop rigorous analytical solutions as a Solver
- Audit assumptions, derivations, mathematical consistency, and biological interpretation
- Compare competing approaches and adjudicate technically disputed solutions
- Identify conceptual, mathematical, or methodological errors
- Document assumptions, methods, and conclusions with research-level precision
Benefits
- Independent contractor engagement
- Fully remote
- Compensation: $80–$160/hour
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What This Job Offers
Career Level
Senior
