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Biology Data Analyst Remote Jobs in Raleigh, NC (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Cary, NC · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... biological, and clinical data sources. * Provide expert insights on structure-activity and ...

micro1 AI

Digital Chemistry Specialist - Remote

Cary, NC · Remote

$90 - $120/hr

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources.

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Biology Data Analyst Remote information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do biology data analyst remote jobs pay per year?

As of Aug 20, 2026, the average yearly pay for biology data analyst remote in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What does a biology data analyst do when working remotely?

A Biology Data Analyst working remotely analyzes biological data using statistical and computational tools to help researchers and organizations draw meaningful conclusions. They clean, process, and interpret large datasets, often using software like R, Python, or specialized bioinformatics platforms. Their work supports areas such as genomics, drug development, and environmental studies, and they collaborate with other scientists through virtual meetings and digital platforms. Remote Biology Data Analysts must be comfortable managing data security and communicating findings clearly to both technical and non-technical audiences.

What are some common challenges faced by remote biology data analysts, and how can they be managed?

Remote Biology Data Analysts often navigate challenges such as ensuring clear communication with researchers and team members, managing large and complex datasets securely, and staying updated with evolving bioinformatics tools. Success in this role typically involves setting up reliable collaboration channels (like Slack or Zoom), maintaining strong data management practices, and proactively participating in virtual team meetings and trainings. Establishing a structured daily routine and seeking regular feedback can also help remote analysts stay productive and connected with their teams.

What are the key skills and qualifications needed to thrive as a biology data analyst remote, and why are they important?

To thrive as a Biology Data Analyst Remote, you need a solid background in biology, statistics, and data analysis, often supported by a degree in biological sciences or bioinformatics. Familiarity with data analysis tools such as R, Python, and bioinformatics platforms, as well as experience with databases and visualization software, is typically required. Strong problem-solving, attention to detail, and effective communication skills help analysts interpret complex datasets and collaborate with remote teams. These competencies are crucial for transforming biological data into actionable insights that drive research and decision-making in remote environments.

What is the difference between Biology Data Analyst Remote vs Biology Research Scientist?

AspectBiology Data Analyst RemoteBiology Research Scientist
Required CredentialsBachelor's or Master's in Biology, Data Science, or related field; proficiency in data analysis toolsDoctorate (Ph.D.) in Biology or related field; research experience
Work EnvironmentRemote, often independent or team-based data analysis projectsLaboratory, university, or research institute; hands-on experiments
Employer & Industry UsageBiotech companies, research firms, academic institutionsUniversities, government agencies, research labs

While both roles involve biology, the Biology Data Analyst Remote focuses on analyzing biological data remotely using data science skills, whereas the Biology Research Scientist conducts hands-on experiments and research in labs or academic settings. The analyst role emphasizes data interpretation, while the scientist emphasizes experimental design and discovery.

Can I be a biology data analyst remote with a biology degree?

A biology data analyst can work remotely with a biology degree, especially if they have skills in data analysis tools like Excel, R, or Python. Strong understanding of biological concepts and experience with data management are important for this role.

Is it possible to work remotely as a biology data analyst?

Yes, biology data analysts can often work remotely, especially when their tasks involve data analysis, statistical modeling, and using tools like R or Python. Many organizations offer remote positions to accommodate flexible schedules and geographic independence, provided the analyst has reliable internet access and relevant technical skills.

What remote jobs can I do with a biology data analyst remote?

A biology data analyst working remotely can find roles such as bioinformatics analyst, research data specialist, or scientific data consultant. These positions often require skills in data analysis tools like R or Python, and may involve analyzing biological datasets, supporting research projects, or developing data-driven insights for biotech or healthcare organizations.

What are the most commonly searched types of Biology Data Analyst jobs in Raleigh, NC?

The most popular types of Biology Data Analyst jobs in Raleigh, NC are:

What are popular job titles related to Biology Data Analyst Remote jobs in Raleigh, NC?

For Biology Data Analyst Remote jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Biology Data Analyst Remote jobs in Raleigh, NC look for?

The top searched job categories for Biology Data Analyst Remote jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Biology Data Analyst Remote jobs?

Cities near Raleigh, NC with the most Biology Data Analyst Remote job openings:

Biology Data Analyst Remote jobs near you

Cheminformatics Specialist - Remote

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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