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Remote Data Science Internships Jobs in Utah (NOW HIRING)

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Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent professional ... Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

Applause

AI Soultions Engineer

Salt Lake City, UT · Remote

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Applause

AI Soultions Engineer

Salt Lake City, UT · On-site +1

Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field (or ... Very effective in a remote work environment Benefits Benefits: 100% remote w/ no office mandate ...

Ancestry

Lead Product Designer

Draper, UT · On-site +1

$144K - $178K/yr

This is a remote-friendly role reporting to a Design Director or the Head of Design, offering a ... Translate complex data, scientific insights, and fragmented features into simple, approachable, and ...

Ancestry

Lead Product Designer

Draper, UT · On-site +1

$144K - $178K/yr

This is a remote-friendly role reporting to a Design Director or the Head of Design, offering a ... Translate complex data, scientific insights, and fragmented features into simple, approachable, and ...

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Remote Data Science Internships information

What is the difference between Remote Data Science Internships vs Remote Data Analyst Internships?

AspectRemote Data Science InternshipsRemote Data Analyst Internships
Required SkillsProgramming (Python, R), statistics, machine learningData visualization, SQL, basic statistics
Work EnvironmentCollaborative teams, research-focusedBusiness analysis, reporting
Industry UsageTech, finance, healthcareRetail, marketing, finance

Remote Data Science Internships focus on developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analyst Internships emphasize data interpretation, visualization, and reporting. Both roles are remote, but they serve different functions within organizations, with data science being more technical and analytical, while data analysis centers on business insights.

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Remote Data Science Internships jobs near you

Cheminformatics Specialist - Remote

micro1 AI

West Jordan, UT • On-site, Remote

$90 - $120/hr

Part-time

Posted 11 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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