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Bioinformatics Specialist Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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Bioinformatics Specialist information

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$59.5K

$94.5K

$149.5K

How much do bioinformatics specialist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for bioinformatics specialist in the United States is $94,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a bioinformatics specialist?

A bioinformatics specialist is a computer scientist who helps researchers collect, store, and document research data about biology. Their main duties are to determine how bioinformatics tools can help with science projects, train people how to use bioinformatics tools, and provide related support to researchers. A principal bioinformatics specialist also builds or manages information storage systems, using statistical tools such as algorithms, data mining, predictive modeling to analyze and interpret the stored data.

Is bioinformatics well paying?

Bioinformatics specialists typically earn competitive salaries that vary by experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced professionals earning over $100,000, especially those with advanced skills in programming, data analysis, and familiarity with tools like R or Python. The field offers strong growth potential due to increasing demand in healthcare, research, and biotechnology sectors.

What are the key skills and qualifications needed to thrive as a bioinformatics specialist?

To thrive as a Bioinformatics Specialist, you need a strong background in biology, statistics, and computer science, typically supported by a relevant degree such as bioinformatics, computational biology, or a related field. Proficiency with programming languages (like Python or R), experience with genomic databases, and familiarity with tools such as BLAST, GATK, or Bioconductor are common requirements. Strong analytical thinking, problem-solving skills, and effective communication are essential soft skills for interpreting data and collaborating with interdisciplinary teams. These skills and qualities are vital for accurately analyzing complex biological data and translating findings into actionable scientific insights.

What are some common challenges a bioinformatics specialist faces when working with large-scale genomic data?

Bioinformatics Specialists often encounter challenges related to managing and analyzing vast amounts of genomic data, which can require robust computational resources and efficient data processing pipelines. Ensuring data quality and accuracy is crucial, as errors in raw data can significantly impact downstream analyses. Additionally, keeping up with rapidly evolving bioinformatics tools and technologies, as well as collaborating effectively with multidisciplinary teams of biologists, statisticians, and software engineers, is an essential part of the role.

What is the difference between Bioinformatics Specialist vs Bioinformatics Analyst?

AspectBioinformatics SpecialistBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or Computer ScienceBachelor's or Master's in related fields, often with programming skills
Work EnvironmentResearch labs, biotech companies, academic institutionsData analysis teams, research projects, healthcare settings
Employer & Industry UsageUsed in biotech, pharma, academia for developing tools and pipelinesUsed for interpreting data, generating reports, supporting research

The main difference is that Bioinformatics Specialists often focus on developing tools and pipelines, while Bioinformatics Analysts primarily interpret data and generate insights. Both roles require similar educational backgrounds and work environments, but their core responsibilities differ slightly.

What are the most commonly searched types of Bioinformatics Specialist jobs? The most popular types of Bioinformatics Specialist jobs are:
Who are the top companies hiring for Bioinformatics Specialist jobs? The top employers for Bioinformatics Specialist jobs are:
What states have the most Bioinformatics Specialist jobs? States with the most job openings for Bioinformatics Specialist jobs include:
What job categories do people searching Bioinformatics Specialist jobs look for? The top searched job categories for Bioinformatics Specialist jobs are:
Infographic showing various Bioinformatics Specialist job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Miami Gardens, FL โ€ข Remote

$90 - $120/hr

Part-time

Posted 12 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 โ€” 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.