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How much do bioinformatics research jobs pay per year?

As of Aug 15, 2026, the average yearly pay for bioinformatics research 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 are the most common collaborative projects for professionals in bioinformatics research?

Bioinformatics researchers frequently collaborate on interdisciplinary projects that involve both computational scientists and experimental biologists. Common collaborations include analyzing genomic data for disease research, developing algorithms for large-scale data interpretation, and creating bioinformatics tools for laboratory use. These projects often require regular communication with wet-lab researchers to ensure that computational findings align with experimental needs, as well as working closely with statisticians and software developers. Effective teamwork and the ability to bridge the gap between biology and data science are crucial for success in this field.

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

To thrive as a Bioinformatics Researcher, you need a strong background in computational biology, statistics, and molecular biology, often supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R), bioinformatics tools (like BLAST, genome assembly software), and data analysis platforms is crucial. Strong analytical thinking, problem-solving, and effective communication skills help you collaborate across interdisciplinary teams and interpret complex data. These skills and qualities are essential for generating meaningful biological insights from large datasets and advancing scientific research.

What is bioinformatics research?

Bioinformatics research is a multidisciplinary field that combines biology, computer science, mathematics, and statistics to analyze and interpret biological data. Researchers in this area develop and use computational tools and techniques to understand complex biological processes, such as gene sequencing, protein structure prediction, and genome analysis. The goal is to extract meaningful insights from large datasets, which can lead to advances in medicine, agriculture, and environmental science. Bioinformatics research plays a crucial role in understanding diseases, developing new treatments, and personalizing healthcare.
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Bioinformatics Research jobs near you
Infographic showing various Bioinformatics Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $94,474 per year, or $45.4 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Providence, RI • Remote

$80 - $110/hr

Part-time

Posted 13 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.

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