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Bioinformatics Phd Jobs in Colorado (NOW HIRING)

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding ...

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Bioinformatics Phd information

See Colorado salary details

$62.6K

$99.3K

$157.2K

How much do bioinformatics phd jobs pay per year?

As of Aug 13, 2026, the average yearly pay for bioinformatics phd in Colorado is $99,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $136,200.00 per year, depending on experience, location, and employer.

What does a bioinformatics PhD do?

In a Bioinformatics PhD role, you may be tasked with designing and implementing computational analyses to interpret large-scale genomic or proteomic data, developing new algorithms or pipelines, and contributing to manuscripts or research publications. Collaboration with experimental biologists, clinicians, and fellow data scientists is common, requiring you to translate complex biological questions into computational approaches and communicate results effectively. On a daily basis, you might analyze sequencing data, troubleshoot code, manage data workflows, and help mentor junior researchers or students. These responsibilities offer dynamic opportunities to make a significant impact in advancing biological research and medical innovation.

What skills and qualifications are needed for a bioinformatics PhD?

A successful Bioinformatics PhD possesses advanced knowledge in computational biology, statistics, genomics, and a doctoral degree in bioinformatics or a closely related field. Familiarity with programming languages such as Python or R, experience with bioinformatics databases, and use of tools like BLAST, Galaxy, or Bioconductor are commonly expected. Strong analytical thinking, effective communication, and collaborative skills are highly valued in this field. These skills enable bioinformatics professionals to analyze complex biological data, work efficiently within multidisciplinary teams, and drive meaningful scientific discoveries.

What is a bioinformatics PhD?

A Bioinformatics PhD job involves conducting research and developing computational tools to analyze biological data, such as genomics, proteomics, and clinical datasets. Professionals in this role work at the intersection of biology, computer science, and mathematics to derive meaningful insights from complex biological information. They may work in academia, pharmaceutical companies, biotechnology firms, or healthcare institutions, contributing to advancements in medicine, drug discovery, and personalized healthcare. Essential skills include programming, statistical analysis, machine learning, and a deep understanding of molecular biology.

What cities in Colorado are hiring for Bioinformatics Phd jobs?

Cities in Colorado with the most Bioinformatics Phd job openings:

Infographic showing various Bioinformatics Phd job openings in Colorado as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $99,341 per year, or $47.8 per hour.

Bioinformatics Software Engineer

micro1 AI

Lakewood, CO • Remote

$80 - $110/hr

Part-time

Posted 10 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 customer’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 — 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, Schrödinger, 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.