Physics Expert Biophysics and Statistical Physics Remote Contract
Overview
Remote contract role for a Physics Expert specializing in Biophysics or Statistical Physics. You’ll model bacterial population growth and stochastic growth-rate switching, focusing on cell-size regulation noise and asymptotic growth rate. Your domain knowledge will help generate high-quality input for training next-generation AI systems, with alignment to real-world methods and clear documentation. Expect assignments such as Solver, Auditor, or Adjudicator based on your subfield expertise and seniority. Bold statistical physics, biophysics, and stochastic two-state Markov processes where they appear natural in the text.
What You'll Do5
- 1Model stochastic two-state Markov processes with gamma-distributed waiting times to simulate bacterial population dynamics.
- 2Use the Euler-Lotka framework to evaluate and benchmark long-run population growth under different noise levels.
- 3Develop or verify analytical methods that rely on perturbative expansions for small division-noise variance and compare predictions with data.
- 4Combine renewal theory with first-passage-time analysis to extract insights on growth and cell-size regulation noise.
- 5Prepare detailed methodological notes, assumptions, and results to support AI training and ensure reproducibility.
Requirements4
- 1Advanced expertise in statistical physics or biophysics with a strong background in quantitative biological modeling.
- 2Experience applying two-state Markov models and gamma-distributed waiting times to real or simulated biological systems.
- 3Solid command of the Euler-Lotka equation, perturbative expansion techniques, and renewal theory in population dynamics.
- 4Proven ability to perform first-passage-time analysis and interpret how growth-rate fluctuations affect size control.
Who Should Apply
The ideal candidate is a PhD-level or equivalent expert in statistical physics or biophysics who has hands-on work with stochastic processes in biology. The role is less suitable for someone without a deep background in Markov models or the Euler-Lotka framework. Common fit blockers include limited experience with gamma-distributed waiting times or difficulty translating theoretical results into predictive methods for AI training inputs.
Salary Insight
Pay range is $80 - $160/hr. Pay is discussed during the negotiation phase; no numbers are hidden or implied beyond the stated range.
Location
Required Skills
Application Tip
Highlight specific work with two-state Markov models and gamma-distributed waiting times in your resume, and quantify any prior impact on growth-rate modeling or AI training data accuracy.
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1Application received
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