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Astronomy Data Analysis Remote Jobs in Utah (NOW HIRING)

micro1 AI

Computational Biologist - AI Reviewer

Provo, UT · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Scope of Work * Analyze and annotate complex biological data sets, focusing on applications ...

Cox Communications, Inc.

Analyst II, Marketing Analytics

Draper, UT · On-site +1

$67K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This position is remote/work from home. If within 25 miles of any of the office locations listed ... Build data workflows that support recurring reporting and analysis. * Perform data validation and ...

Solventum

Requirements Analyst - Components Dev

Murray, UT · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Proven data analysis skills. * Strong technical background. * Proven ability in working ... Work location: * Remote Travel: May include up to 5% domestic/ Relocation Assistance: Not ...

micro1 AI

Pharmacovigilance Expert

West Jordan, UT · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

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Astronomy Data Analysis Remote information

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 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 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 Utah? The most popular types of Astronomy Data Analysis jobs in Utah are:
What are popular job titles related to Astronomy Data Analysis Remote jobs in Utah? For Astronomy Data Analysis Remote jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Astronomy Data Analysis Remote jobs in Utah look for? The top searched job categories for Astronomy Data Analysis Remote jobs in Utah are:
What cities in Utah are hiring for Astronomy Data Analysis Remote jobs? Cities in Utah with the most Astronomy Data Analysis Remote job openings:
Astronomy Data Analysis Remote jobs near you

Computational Biologist - AI Reviewer

micro1 AI

West Valley City, UT • On-site, Remote

$90 - $120/hr

Part-time

Posted 16 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic 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. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

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