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Biophysics and Statistical Physics Expert for AI Model Training [Remote]

$80 - $160 per hour

SaidGig

Remote
  • Remote job
Role Overview

Model stochastic bacterial population dynamics to derive asymptotic growth rates, analyze effects of growth-rate switching and cell-size regulation noise, and produce clear, reproducible methodological documentation to train and evaluate AI systems.

Key Responsibilities
  • Analyze and model stochastic two-state Markov processes with gamma-distributed waiting times in the context of bacterial population dynamics.
  • Apply the Euler-Lotka equation to assess and benchmark asymptotic population growth rates across different noise regimes.
  • Develop or review analytical approaches using perturbative expansions in small division-noise variance, and validate resulting predictions.
  • Integrate renewal theory and first-passage-time analysis to derive insights on population growth and cell-size regulation noise.
  • Document detailed methodological steps, assumptions, and findings clearly for reproducibility and for use as high-quality training data for AI systems.
  • Contribute as one or more assignment types, potentially serving as Solver, Auditor, or Adjudicator depending on your specialization and experience.
Qualifications
  • Strong background in statistical physics, biophysics, or quantitative biological modeling of stochastic processes.
  • Proven experience with two-state Markov models and gamma-distributed waiting times applied to biological or physical systems.
  • Demonstrated command of the Euler-Lotka equation in population or growth dynamics contexts.
  • Experience with perturbative expansion techniques, specifically in small division-noise variance, and with renewal theory.
  • Ability to perform first-passage-time analysis and interpret implications for growth-rate fluctuations and size control.
  • Clear technical writing skills for documenting methods and assumptions. No prior experience in AI is required; domain expertise is the primary requirement.
Work Terms
  • Engagement type: Contractor.
  • Location: Remote.
  • Assignment types: Candidates may be considered for one or more roles such as Solver, Auditor, or Adjudicator based on subfield specialization, seniority, and hands-on experience with the methods listed above.
Compensation

Pay range: $80 to $160 per hour.

Eligibility
  • Must be able to engage as an independent contractor.
  • No specific work-authorization restrictions were provided in the posting.
How to Apply

If you are interested, indicate your interest through the application channel specified in the posting. Selection will include evaluation of your subject-matter expertise and may result in assignment to one or more specialist roles based on your skills and experience.

Vacancy posted 17 hours ago
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