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Astronomy Data Analysis Remote Jobs in Michigan (NOW HIRING)

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

micro1 AI

Cheminformatics Specialist - Remote

Detroit, MI · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

micro1 AI

Cheminformatics Specialist - Remote

Warren, MI · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

micro1 AI

Cheminformatics Specialist - Remote

Dearborn, MI · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

micro1 AI

Cheminformatics Specialist - Remote

Lansing, MI · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

CSAA

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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Astronomy Data Analysis Remote information

What is astronomy data analysis in a remote job setting?

Astronomy Data Analysis in a remote job involves processing and interpreting data collected from telescopes, satellites, or simulations to help scientists understand celestial phenomena. Remote analysts typically use specialized software and programming languages like Python or MATLAB to clean, visualize, and analyze large datasets. They may work with images, spectra, or time-series data, often collaborating with teams via online platforms. The role requires strong analytical skills, attention to detail, and the ability to communicate findings effectively, all while working from a location outside of a traditional office or research facility.

What are the key skills and qualifications needed to thrive as an astronomy data analysis remote professional?

To thrive in Astronomy Data Analysis remotely, you need strong analytical skills, a background in physics or astronomy, and experience with statistical data analysis, often supported by a relevant degree. Familiarity with programming languages like Python or R, astronomical data processing tools (e.g., Astropy), and experience working with large datasets are highly valuable. Excellent problem-solving, attention to detail, and the ability to communicate findings clearly with a distributed team are crucial soft skills. These competencies enable accurate interpretation of complex data, efficient collaboration, and impactful scientific contributions in a remote environment.

What are some common challenges faced by remote astronomy data analysts, and how can they be addressed?

Remote astronomy data analysts often encounter challenges such as managing large datasets, ensuring data integrity, and collaborating effectively with geographically dispersed teams. To address these, it's important to have a reliable internet connection, proficiency with cloud-based data tools, and familiarity with version control systems. Regular virtual meetings and clear documentation also help maintain strong team communication and workflow efficiency, ensuring successful project outcomes even when working remotely.

What is the difference between Astronomy Data Analysis Remote vs Astronomy Data Analysis?

AspectAstronomy Data Analysis RemoteAstronomy Data Analysis
Work EnvironmentRemote, often freelance or contract-basedOn-site or hybrid observatories, research centers, or universities
Required CredentialsDegree in astronomy, astrophysics, or related field; strong data analysis skillsSimilar credentials; often includes research experience and specialized certifications
Employer & Industry UsageResearch institutions, universities, space agencies, private companiesResearch institutions, observatories, academic settings

Both roles require a background in astronomy and data analysis skills. The main difference lies in the work environment: Astronomy Data Analysis Remote offers flexibility to work from anywhere, while Astronomy Data Analysis typically involves on-site research or collaboration at physical locations. The choice depends on your preference for remote work versus in-person research settings.

What are the most commonly searched types of Astronomy Data Analysis jobs in Michigan?

The most popular types of Astronomy Data Analysis jobs in Michigan are:

What are popular job titles related to Astronomy Data Analysis Remote jobs in Michigan?

For Astronomy Data Analysis Remote jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Astronomy Data Analysis Remote jobs in Michigan look for?

The top searched job categories for Astronomy Data Analysis Remote jobs in Michigan are:

What cities in Michigan are hiring for Astronomy Data Analysis Remote jobs?

Cities in Michigan with the most Astronomy Data Analysis Remote job openings:

Astronomy Data Analysis Remote jobs near you
Infographic showing various Astronomy Data Analysis Remote job openings in Michigan as of July 2026, with employment types broken down into 83% Full Time, 6% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Computational Physics Specialist - Remote

micro1 AI

Lansing, MI • Remote

$80 - $140/hr

Part-time

Posted 19 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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