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Remote Data Science Astronomy 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 ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

micro1 AI

Physics Modeling Expert - Remote

Lansing, MI · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials. * 2-5 recent ...

micro1 AI

Physics Modeling Expert - Remote

Ann Arbor, MI · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials. * 2-5 recent ...

micro1 AI

Physics Modeling Expert - Remote

Warren, MI · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials. * 2-5 recent ...

micro1 AI

Physics Modeling Expert - Remote

Dearborn, MI · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials. * 2-5 recent ...

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All JobsData Science Astronomy JobsRemote Data Science Astronomy JobsRemote Data Science Astronomy Jobs in Michigan

Remote Data Science Astronomy information

What is a remote data science astronomy?

A Remote Data Science Astronomy job involves using data science techniques, such as statistical analysis, machine learning, and data visualization, to analyze astronomical data and solve problems in astronomy, all while working remotely. Professionals in this role process large datasets collected from telescopes or space missions to discover patterns, classify celestial objects, or make predictions about cosmic phenomena. This position typically requires strong programming skills, familiarity with astronomical datasets, and the ability to work independently from any location.

What are some typical challenges faced by remote data science astronomers, and how can they be addressed?

Remote data science astronomers often face challenges related to accessing large datasets, collaborating effectively with distributed teams, and staying updated with the latest research tools. Utilizing cloud-based platforms and secure data-sharing protocols can help manage big astronomical datasets efficiently. Regular virtual meetings and clear communication channels are essential to maintain strong team collaboration. Additionally, participating in online workshops or communities can help remote astronomers stay current with new analytical methods and industry standards.

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

To thrive as a Remote Data Science Astronomer, you need a strong background in astrophysics, statistics, and data analysis, typically supported by a degree in astronomy, physics, or a related field. Proficiency with programming languages such as Python or R, experience with astronomical data processing tools (e.g., Astropy, IRAF), and familiarity with machine learning libraries are commonly required. Strong problem-solving skills, self-motivation, and effective communication are essential soft skills for collaborating remotely and interpreting complex data. These skills enable the accurate extraction of scientific insights from large datasets, drive research innovation, and ensure smooth coordination in distributed scientific teams.

Can I work remotely as a data scientist?

Remote data science roles, including those in astronomy, are common and often involve using tools like Python, R, and cloud platforms. These positions typically require strong analytical skills, communication, and the ability to collaborate virtually, making remote work feasible for qualified candidates.

What is the difference between Remote Data Science Astronomy vs Remote Data Science Astrophysics?

AspectRemote Data Science AstronomyRemote Data Science Astrophysics
Required CredentialsBachelor's or Master's in Astronomy, Data Science, or related fieldsBachelor's or Master's in Astrophysics, Data Science, or related fields
Work EnvironmentResearch institutions, observatories, universities, or tech companiesResearch institutions, observatories, universities, or tech companies
Industry UsageAcademic research, space agencies, tech startups

Remote Data Science Astronomy and Remote Data Science Astrophysics share similar credentials and work environments, often involving research institutions and tech companies. The main difference lies in their focus: Astronomy emphasizes observational data and celestial phenomena, while Astrophysics concentrates on theoretical models and physical processes of celestial bodies. Both roles require strong data analysis skills and relevant educational backgrounds, making them closely related but distinct in their scientific emphasis.

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

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

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

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

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

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

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

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

Remote Data Science Astronomy jobs near you
Infographic showing various Remote Data Science Astronomy job openings in Michigan as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Sterling Heights, MI • Remote

$90 - $120/hr

Part-time

Posted 18 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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