$166k-$333k
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What this posting tells you
Remote contractor role for physics experts contributing research-level analysis of bacterial population growth, stochastic growth-rate switching, cell-size regulation noise, and asymptotic growth rates. Work includes modeling, analytical validation, and documenting methods for AI training. No salary or specific experience duration is stated.
Customer success, Marketing, Product
Eligible countries are not stated.
Timezone overlap is not stated.
Advanced expertise preferred; no specific level stated · Contractor
- Eligible hiring countries are not stated
- Required timezone overlap is not stated
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Explore the remote job marketPhysics Expert (Biophysics / Statistical Physics) at micro1
Role Title: Physics Expert (Biophysics / Statistical Physics)
Role Type: Contractor
Location: Remote
micro1 is engaging Physics Experts (Biophysics / Statistical Physics) to contribute to a research-level project focused on modeling bacterial population growth, stochastic two-state growth-rate switching, cell-size regulation noise, and asymptotic population growth rate. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
No prior experience in AI is required — your domain knowledge is what matters. Participants may be considered for one or more assignments, including Solver, Auditor, or Adjudicator, based on subfield specialization, seniority, and hands-on experience with the relevant methods.
Scope of Work
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 under varying 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 key insights on population growth and cell-size regulation noise.
Document detailed methodological steps, assumptions, and findings clearly for AI training and reproducibility purposes.
Preferred qualifications
Advanced expertise in statistical physics, biophysics, or related quantitative biological modeling of stochastic processes.
Proven experience working with two-state Markov models and gamma-distributed waiting times in biological or physical systems.
Strong command of the Euler-Lotka equation, perturbative expansions, and renewal theory in the context of population or growth dynamics.
Demonstrated ability to conduct first-passage-time analysis and interpret implications for growth-rate fluctuations and size control.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.