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Remote Phd Statistics Jobs in Kentucky (NOW HIRING)

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... MS or PhD in biostatistics, statistics, or epidemiology. * 4+ years of experience in pharmaceutical ...

Biostatistician

Lexington, KY · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... MS or PhD in biostatistics, statistics, or epidemiology. * 4+ years of experience in pharmaceutical ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... PhD in physics and an active record of independent research within a specialized subfield (e.g ...

For candidates not in those locations, we would consider fully remote work for a highly qualified ... PhD preferred * Minimum of seven years' experience with advanced degree. Seven to ten years ...

For candidates not in those locations, we would consider fully remote work for a highly qualified ... PhD preferred * Minimum of seven years' experience with advanced degree. Seven to ten years ...

Showing results 21-28

Remote Phd Statistics information

What is a remote PhD statistician?

Remote PhD statistics jobs are positions that require an advanced degree (PhD) in statistics, allowing professionals to work from home or any location outside a traditional office. These roles typically involve designing statistical models, analyzing complex data sets, and collaborating with research teams or organizations virtually. Common industries hiring for remote PhD statistics jobs include academia, healthcare, pharmaceuticals, tech, and government agencies. The flexibility of remote work enables statisticians to contribute to projects worldwide while maintaining a work-life balance.

What are the key skills and qualifications needed to thrive as a remote PhD statistician?

To thrive as a Remote PhD Statistician, you need advanced statistical knowledge, expertise in data analysis, and a doctoral degree in statistics or a related field. Proficiency in statistical software such as R, SAS, or Python, and experience with data management systems are typically required. Strong problem-solving abilities, self-motivation, and effective written communication are crucial for collaborating remotely and presenting complex findings clearly. These skills ensure rigorous data analysis, reliable insights, and effective contributions to research or business objectives in a remote environment.

What are some common challenges faced by remote PhD statisticians, and how can they be addressed?

Remote PhD statisticians often face challenges such as maintaining clear communication with cross-functional teams, managing time across different time zones, and staying updated with the latest statistical methodologies. These can be addressed by leveraging collaborative tools (like Slack or Zoom), setting regular check-ins with team members, and participating in virtual conferences or workshops. Proactively seeking feedback and documenting work processes also helps ensure alignment and productivity in a remote environment.

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

AspectRemote Phd StatisticsRemote Data Scientist
Required CredentialsPhD in Statistics or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, often academic or industry R&DApplied analytics, product development, business insights
Employer & Industry UsageUniversities, research institutions, biotech, financeTech companies, finance, healthcare, e-commerce
Common Search & ComparisonYesYes

Remote Phd Statistics roles typically involve research, advanced statistical modeling, and theoretical work, often in academic or R&D settings. Remote Data Scientist positions focus on applying data analysis, machine learning, and programming skills to solve practical business problems. While both roles require strong analytical skills, the PhD in Statistics emphasizes research and theory, whereas Data Scientists focus on application and implementation.

What are the most commonly searched types of Phd Statistics jobs in Kentucky?

The most popular types of Phd Statistics jobs in Kentucky are:

What are popular job titles related to Remote Phd Statistics jobs in Kentucky?

For Remote Phd Statistics jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Remote Phd Statistics jobs?

Cities in Kentucky with the most Remote Phd Statistics job openings:

Physics Content Evaluator (LaTeX/Python)

micro1 AI

Lexington, KY • On-site, Remote

$80 - $150/hr

Part-time

Posted 14 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.