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Remote Support Scientist Jobs in Colorado (NOW HIRING)

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Remote Support Scientist information

What is the difference between Remote Support Scientist vs Remote Support Specialist?

AspectRemote Support Scientist
Required CredentialsTypically requires a scientific degree (e.g., biology, chemistry, or related fields), certifications in lab techniques or data analysis
Work EnvironmentLaboratory settings, research facilities, or remote data analysis environments
Employer & IndustryPharmaceutical, biotech, or research organizations
Common Search/ComparisonOften compared based on scientific expertise and research focus

The Remote Support Scientist primarily focuses on scientific research, data analysis, and laboratory support, often requiring advanced degrees and specialized certifications. In contrast, the Remote Support Specialist typically handles customer support, troubleshooting, and technical assistance, often with less emphasis on scientific credentials. Both roles may work remotely but serve different industry needs and skill sets.

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Remote Support Scientist jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Lakewood, CO • Remote

$90 - $120/hr

Part-time

Posted 20 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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