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Omics information

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$5

$36

$59

How much do omics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for omics in Colorado is $36.54, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $56.88 per hour, depending on experience, location, and employer.

What is an omics?

An Omics job involves studying large-scale biological data related to fields such as genomics, proteomics, metabolomics, or transcriptomics. Professionals in Omics analyze complex biological datasets to understand gene expression, protein functions, metabolic pathways, and their impact on health or disease. These roles often require expertise in bioinformatics, data science, and laboratory techniques. Omics jobs are found in research institutions, biotechnology companies, and healthcare organizations, contributing to advancements in personalized medicine and drug discovery.

What are the key skills and qualifications needed to thrive in omics, and why are they important?

To thrive in an Omics role, you need a solid background in molecular biology, genomics, or bioinformatics, usually supported by an advanced degree such as a Master's or PhD. Familiarity with data analysis tools (such as R, Python, and specialized software like Galaxy or GeneSpring), laboratory techniques, and next-generation sequencing platforms is essential. Strong analytical thinking, attention to detail, and effective communication skills are valuable soft skills. These abilities are critical for accurately interpreting complex biological data and collaborating with multidisciplinary teams to advance scientific research or clinical solutions.

What types of projects or research areas do professionals in omics work on?

Professionals in Omics typically work on projects involving large-scale analysis of biological data, such as genomics, proteomics, metabolomics, or transcriptomics studies. Their work may include identifying genetic variants, understanding disease mechanisms, discovering biomarkers, or contributing to personalized medicine initiatives. Day-to-day responsibilities can involve designing experiments, running high-throughput sequencing, analyzing complex datasets, and collaborating with biologists, clinicians, and data scientists. This collaborative and data-driven environment offers opportunities to make significant scientific contributions and build expertise in rapidly evolving fields.

What are popular job titles related to Omics jobs in Colorado?

For Omics jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Omics jobs in Colorado look for?

The top searched job categories for Omics jobs in Colorado are:

Omics jobs near you
Infographic showing various Omics job openings in Colorado as of August 2026, with employment types broken down into 67% Full Time, 32% Part Time, and 1% Contract. Highlights an 51% Physical, 2% Hybrid, and 47% Remote job distribution, with an average salary of $76,013 per year, or $36.5 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Westminster, CO • Remote

$90 - $120/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

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.

Apply