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Bioinformatics Scientist Jobs in Colorado (NOW HIRING)

Research Scientist Position #:00851869 - Requisition #:40806 Job Summary: The candidate will ... The bioinformatician will develop and maintain reproducible computational pipelines, generate clear ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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Bioinformatics Scientist information

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$39

$57

$78

How much do bioinformatics scientist jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for bioinformatics scientist in Colorado is $57.61, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $65.72 per hour, depending on experience, location, and employer.

What is a bioinformatics scientist?

A Bioinformatics Scientist is a professional who uses computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They combine expertise in biology, computer science, mathematics, and statistics to solve complex problems in genomics, drug discovery, and other life sciences fields. Bioinformatics Scientists often work with large datasets, develop algorithms, and create databases to help researchers understand biological processes and make scientific discoveries.

How do bioinformatics scientists typically collaborate with biologists and other researchers on multidisciplinary projects?

Bioinformatics Scientists often work closely with biologists, chemists, and data analysts to interpret complex biological data. Collaboration usually involves translating biological questions into computational problems, developing or applying algorithms, and communicating findings in a way that is accessible to non-technical team members. Effective teamwork requires strong communication skills and the ability to bridge the gap between experimental data and computational analysis, ensuring that research goals are aligned across disciplines.

What are the key skills and qualifications needed to thrive as a bioinformatics scientist, and why are they important?

To thrive as a Bioinformatics Scientist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R, or Perl), bioinformatics databases, and data analysis platforms like BLAST or Galaxy is essential. Critical thinking, problem-solving, and clear communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful insights from large biological datasets and advancing scientific research.

What is the difference between Bioinformatics Scientist vs Bioinformatics Analyst?

AspectBioinformatics ScientistBioinformatics Analyst
Required CredentialsTypically requires a Master's or Ph.D. in Bioinformatics, Computational Biology, or related fieldsUsually holds a Bachelor's or Master's degree in Bioinformatics, Biology, or related areas
Work EnvironmentResearch labs, biotech companies, academic institutions, often involved in developing new algorithms and toolsData analysis in clinical or research settings, interpreting existing data sets
Employer & Industry UsageUsed in biotech, pharma, academia for research and developmentCommon in healthcare, clinical research, and biotech for data interpretation

In summary, Bioinformatics Scientists typically hold advanced degrees and focus on developing new computational methods, while Bioinformatics Analysts often have a more applied role, interpreting data to support research or clinical decisions.

Is bioinformatics well paying?

Bioinformatics scientists typically earn competitive salaries due to their specialized skills in computational biology, data analysis, and programming. Salaries vary by experience, location, and industry, but the field generally offers above-average compensation compared to many other scientific roles.

What do you do as a bioinformatics scientist?

A bioinformatics scientist analyzes biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop and apply software to interpret complex biological information, often working with large datasets and programming languages like Python or R in research or healthcare settings.

What are the most commonly searched types of Bioinformatics Scientist jobs in Colorado?

The most popular types of Bioinformatics Scientist jobs in Colorado are:

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

The top searched job categories for Bioinformatics Scientist jobs in Colorado are:

What cities in Colorado are hiring for Bioinformatics Scientist jobs?

Cities in Colorado with the most Bioinformatics Scientist job openings:

Infographic showing various Bioinformatics Scientist job openings in Colorado as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $119,837 per year, or $57.6 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Centennial, CO โ€ข Remote

$80 - $110/hr

Part-time

Posted 20 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customerโ€™s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrรถdinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.