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Bioinformatics Research Scientist Jobs in Raleigh, NC

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site

We are looking for a Bioinformatics Scientist to support the operational objectives of the National ... This position is a full-time position located in Research Triangle Park, NC and is telework ...

Guidehouse

Bioinformatics Scientist

Durham, NC · On-site +1

We are looking for a Bioinformatics Scientist to support the operational objectives of the National ... This position is a full-time position located in Research Triangle Park, NC and is telework ...

Duke University

Associate in Research

Durham, NC

Master's degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational ... Ability to work collaboratively with researchers across computational and biomedical disciplines.

Duke University

Associate in Research

Durham, NC · On-site

Master's degree in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational ... Ability to work collaboratively with researchers across computational and biomedical disciplines.

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All JobsBioinformatics Research Scientist JobsBioinformatics Research Scientist Jobs in Raleigh, NC

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$36

$53

$72

How much do bioinformatics research scientist jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for bioinformatics research scientist in Raleigh, NC is $53.26, according to ZipRecruiter salary data. Most workers in this role earn between $43.70 and $60.77 per hour, depending on experience, location, and employer.

What is a bioinformatics research scientist?

A Bioinformatics Research Scientist is a professional who uses computational tools and techniques to analyze biological data, such as DNA, RNA, or protein sequences. They work at the intersection of biology, computer science, and mathematics to interpret complex datasets and solve biological problems. Their work often supports scientific discoveries in genomics, drug development, and personalized medicine. Bioinformatics Research Scientists typically collaborate with biologists, geneticists, and other researchers in both academic and industry settings.

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

To thrive as a Bioinformatics Research Scientist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree such as a PhD or MSc in bioinformatics or a related field. Proficiency with bioinformatics tools (e.g., BLAST, GATK), programming languages (such as Python, R), and experience with databases and high-throughput sequencing analysis are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for advancing scientific discovery and translating biological data into meaningful insights.

How does a bioinformatics research scientist typically collaborate with multidisciplinary teams in research projects?

Bioinformatics Research Scientists frequently work alongside biologists, statisticians, software engineers, and clinicians to analyze and interpret complex biological data. Collaboration often involves translating biological questions into computational tasks, developing and sharing analytical pipelines, and communicating findings in a way that is accessible to both technical and non-technical team members. This multidisciplinary environment fosters innovation but also requires strong communication and project management skills to ensure research goals are aligned and efficiently achieved.

What is the difference between Bioinformatics Research Scientist vs Bioinformatics Analyst?

AspectBioinformatics Research ScientistBioinformatics Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Computational Biology, or related fieldsBachelor's or Master's in Bioinformatics, Biology, or related fields
Work EnvironmentResearch labs, academic institutions, biotech companiesData analysis teams, healthcare organizations, research institutions
Employer & Industry UsagePrimarily in research and development roles within biotech, pharma, academiaData processing and interpretation roles in healthcare, biotech, and research

Bioinformatics Research Scientists focus on developing new algorithms, conducting experiments, and advancing scientific knowledge, often requiring advanced degrees. Bioinformatics Analysts primarily interpret existing data, generate reports, and support research teams with data analysis. Both roles are essential in the bioinformatics field but differ in scope and responsibilities.

What are popular job titles related to Bioinformatics Research Scientist jobs in Raleigh, NC?

For Bioinformatics Research Scientist jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Research Scientist jobs in Raleigh, NC look for?

The top searched job categories for Bioinformatics Research Scientist jobs in Raleigh, NC are:

Bioinformatics Research Scientist jobs near you
Infographic showing various Bioinformatics Research Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $110,784 per year, or $53.3 per hour.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Cary, NC • 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 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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