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Data Science Research Assistant Remote Jobs in Baton Rouge, LA

micro1 AI

AI Training Specialist - Physics

Baton Rouge, LA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... assistant professor, or senior research scientist. * Recent (last ~5 years) representative ...

Wood Plc

Water Resources Engineer - FEMA

Baton Rouge, LA · Remote

$75K - $103K/yr

... reports, research, and data entry; and * Work with a team of Water Resources Engineers and GIS ... Remote Skills / Qualifications Required Qualifications: * Bachelor or Masters of Science in ...

micro1 AI

Biostatistician

Baton Rouge, LA · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

micro1 AI

Director of Biostatistics

Baton Rouge, LA · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Varsity Tutors

Physical Chemistry Tutor

Baton Rouge, LA · Remote

$18 - $40/hr

... sciences research careers. * Conceptual Teaching & Problem-Solving: Skilled at breaking down thermodynamic derivations, quantum mechanical calculations, and kinetic data analysis. Guides students ...

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All JobsData Science Research JobsData Science Research Assistant Remote JobsData Science Research Assistant Remote Jobs in Baton Rouge, LA

Data Science Research Assistant Remote information

See Baton Rouge, LA salary details

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How much do data science research assistant remote jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data science research assistant remote in Baton Rouge, LA is $21.04, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $24.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science research assistant remote?

To thrive as a Data Science Research Assistant (Remote), a solid background in statistics, programming (Python or R), and data analysis, often supported by relevant coursework or a degree, is essential. Familiarity with data visualization tools (e.g., Tableau), databases (SQL), and platforms like Jupyter Notebook, as well as experience with machine learning libraries, is typically required. Strong problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills make candidates stand out. These competencies are crucial for managing complex data tasks, collaborating with team members virtually, and delivering reliable analytical insights.

What are common challenges faced by remote data science research assistants, and how can they be addressed?

Remote Data Science Research Assistants often encounter challenges such as maintaining clear communication with team members, managing time across different projects, and accessing necessary datasets or computing resources. Overcoming these hurdles typically involves leveraging collaboration tools like Slack or Zoom for regular check-ins, setting clear expectations with supervisors on deliverables, and ensuring secure, remote access to data and software. Proactively seeking feedback and participating in virtual team meetings can help foster a sense of connection and keep projects on track.

What is the difference between Data Science Research Assistant Remote vs Data Analyst Remote?

AspectData Science Research Assistant RemoteData Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in Data Analysis, Statistics, or related field
Work EnvironmentRemote research projects, academic or research institutionsRemote data interpretation and reporting for various industries
Employer & Industry UsageUniversities, research labs, tech companiesBusiness, finance, healthcare, marketing

While both roles involve working with data remotely, Data Science Research Assistants focus on research projects, often in academic or research settings, requiring a strong foundation in data science and statistics. Data Analysts typically analyze and interpret data for business insights across various industries. The roles share similar credentials but differ in their primary focus and work environment.

What is a data science research assistant remote?

A Data Science Research Assistant (Remote) is a professional who supports data scientists and research teams by collecting, cleaning, analyzing, and visualizing data, often from a remote location. Their responsibilities may include assisting with experiment design, performing statistical analyses, preparing datasets, creating reports, and helping to develop or test machine learning models. Working remotely, they utilize collaboration tools and cloud platforms to work efficiently with distributed teams. This role is ideal for individuals with strong analytical skills, programming knowledge (such as Python or R), and an interest in research and data-driven problem solving.

What are popular job titles related to Data Science Research Assistant Remote jobs in Baton Rouge, LA?

For Data Science Research Assistant Remote jobs in Baton Rouge, LA, the most frequently searched job titles are:

What job categories do people searching Data Science Research Assistant Remote jobs in Baton Rouge, LA look for?

The top searched job categories for Data Science Research Assistant Remote jobs in Baton Rouge, LA are:

What cities near Baton Rouge, LA are hiring for Data Science Research Assistant Remote jobs?

Cities near Baton Rouge, LA with the most Data Science Research Assistant Remote job openings:

Data Science Research Assistant Remote jobs near you
Infographic showing various Data Science Research Assistant Remote job openings in Baton Rouge, LA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $43,759 per year, or $21 per hour.

Computational Physics Specialist - Remote

micro1 AI

Baton Rouge, LA • Remote

$80 - $140/hr

Part-time

Posted 13 days ago

Job description

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. 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. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

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