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Bioinformatics Phd information

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$62.6K

$99.3K

$157.2K

How much do bioinformatics phd jobs pay per year?

As of Aug 3, 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 can I do with a bioinformatics PhD?

A bioinformatics PhD prepares individuals for research and development roles in academia, biotech, and pharmaceutical industries, focusing on analyzing biological data using computational tools and programming languages like Python or R. Graduates often work as bioinformatics scientists, data analysts, or computational biologists, contributing to genomics, personalized medicine, and drug discovery projects. Advanced knowledge of algorithms, statistical methods, and biological databases is essential for these positions.

What are typical projects or responsibilities for someone in a Bioinformatics PhD role?

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.

Is bioinformatics a high paying job?

Bioinformatics PhDs often earn competitive salaries, especially in biotech, pharmaceutical, and research sectors, with median salaries typically higher than many other science roles. Salary levels depend on experience, location, and industry, with advanced skills in programming, data analysis, and biological sciences increasing earning potential.

Is AI going to replace bioinformatics?

Bioinformatics PhDs utilize AI and machine learning tools to analyze biological data, but AI is designed to augment rather than replace human expertise. Professionals in this field interpret complex data, develop algorithms, and validate results, making their role essential despite advances in AI technology.

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

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 job?

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.

Is it worth getting a PhD in bioinformatics?

A PhD in bioinformatics prepares individuals for research, data analysis, and development of computational tools in the field, often leading to academic, industry, or healthcare roles. It provides advanced skills in programming, statistics, and biology, but requires significant time and effort with variable job prospects depending on the sector and experience level.
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Bioinformatics Phd jobs near you
Infographic showing various Bioinformatics Phd job openings in Colorado as of July 2026, with employment types broken down into 81% Full Time, 11% Part Time, 2% Temporary, and 6% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $99,341 per year, or $47.8 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Colorado Springs, CO • Remote

$90 - $120/hr

Part-time

Posted 6 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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