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Internship Remote Data Research Jobs in Nevada (NOW HIRING)

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

This paid, part-time internship (15-25 hours per week during normal office hours) begins summer ... Conduct research that will bring new insights to communications, including research on industry ...

This paid, part-time internship (15-25 hours per week during normal office hours) begins summer ... Conduct research that will bring new insights to communications, including research on industry ...

This paid, part-time internship (15-25 hours per week during normal office hours) begins summer ... Conduct research that will bring new insights to communications, including research on industry ...

This paid, part-time internship (15-25 hours per week during normal office hours) begins summer ... Conduct research that will bring new insights to communications, including research on industry ...

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Data Provider. * Execute on-page and on-site SEO best practices as directed. * Develop ideas for ...

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Data Provider. * Execute on-page and on-site SEO best practices as directed. * Develop ideas for ...

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Data Provider. * Execute on-page and on-site SEO best practices as directed. * Develop ideas for ...

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... Data Provider. * Execute on-page and on-site SEO best practices as directed. * Develop ideas for ...

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Internship Remote Data Research information

What is the difference between Internship Remote Data Research vs Data Analyst?

AspectInternship Remote Data ResearchData Analyst
CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, certifications optional
Work EnvironmentRemote, often part-time or temporaryRemote or on-site, full-time or part-time
Employer & IndustryCompanies, research firms, startupsCorporations, consulting firms, finance, healthcare
Search & Comparison IntentEntry-level, internship opportunities, data research rolesData analysis, reporting, decision-making roles

Internship Remote Data Research positions are typically entry-level, temporary roles aimed at gaining research experience, often suitable for students or recent graduates. Data Analysts are more advanced roles requiring specific skills and credentials, focusing on analyzing and interpreting data to support business decisions. While both roles involve working with data remotely, internships are more educational and exploratory, whereas Data Analysts are more permanent and skill-dependent.

Digital Chemistry Specialist - Remote

micro1 AI

Sparks, NV โ€ข Remote

$90 - $120/hr

Part-time

Posted 23 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 โ€” 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.