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Phd In Statistics Jobs in Albuquerque, NM (NOW HIRING)

micro1 AI

Biostatistician

Albuquerque, NM · Remote

$60 - $100/hr

MS or PhD in biostatistics, statistics, or epidemiology. * 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts. * Demonstrated command of clinical ...

micro1 AI

Director of Biostatistics

Rio Rancho, NM · Remote

$60 - $100/hr

MS or PhD in biostatistics, statistics, or epidemiology. * 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts. * Demonstrated command of clinical ...

micro1 AI

Biostatistician

Rio Rancho, NM · Remote

$60 - $100/hr

MS or PhD in biostatistics, statistics, or epidemiology. * 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts. * Demonstrated command of clinical ...

micro1 AI

Director of Biostatistics

Albuquerque, NM · Remote

$60 - $100/hr

MS or PhD in biostatistics, statistics, or epidemiology. * 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts. * Demonstrated command of clinical ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

What are popular job titles related to Phd In Statistics jobs in Albuquerque, NM?

For Phd In Statistics jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching Phd In Statistics jobs in Albuquerque, NM look for?

The top searched job categories for Phd In Statistics jobs in Albuquerque, NM are:

Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Albuquerque, NM as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Senior Scientific Reviewer - Physics

micro1 AI

Albuquerque, NM • On-site, Remote

$80 - $150/hr

Part-time

Posted 16 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. 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.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

Apply