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Remote Computational Biologist Jobs in Raleigh, NC

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Bachelor's degree or higher in Biology, Microbiology, Chemistry, or a related field. * Extensive ...

Sr Curation Scientist

Durham, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Labcorp is seeking a Senior Curation Scientist to join our team in a fully remote capacity. Work ... Computational Biology, or Biostatstics with 5 or more years of experience; or Master's degree with ...

Showing results 21-32

Remote Computational Biologist information

See Raleigh, NC salary details

$47.1K

$91.4K

$129.8K

How much do remote computational biologist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote computational biologist in Raleigh, NC is $91,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,500.00 and $113,700.00 per year, depending on experience, location, and employer.

What does a typical day look like for a remote computational biologist?

A typical day for a Remote Computational Biologist involves analyzing large-scale biological datasets, writing and debugging code, and interpreting results to support scientific projects or research goals. You'll often collaborate with wet lab scientists, bioinformatics specialists, and project managers through virtual meetings, sharing insights and integrating diverse types of data. Tasks can also include developing or optimizing analysis pipelines and preparing reports or visualizations for team discussions or publications. Flexibility in managing your workflow and strong digital communication skills are important, as you will coordinate with team members across different time zones and locations. This variety of activities ensures continual learning and exposure to cutting-edge research in the life sciences.

What are the key skills and qualifications needed to thrive in the remote computational biologist position, and why are they important?

To thrive as a Remote Computational Biologist, you need a solid background in biology, statistics, and computer science, often supported by a relevant degree (such as bioinformatics or computational biology) and experience with biological data analysis. Proficiency with programming languages like Python or R, familiarity with bioinformatics tools and databases, and knowledge of cloud computing platforms are typically required; advanced degrees or certifications can be advantageous. Strong problem-solving skills, effective written and verbal communication, and the ability to collaborate virtually are valuable soft skills in this remote role. These strengths are critical for accurately interpreting complex data sets, working productively in distributed research teams, and driving impactful scientific discoveries.

What is a remote computational biologist?

A Remote Computational Biologist analyzes biological data using computational techniques, such as machine learning, bioinformatics, and statistical modeling, while working from a remote location. They often collaborate with researchers, biologists, and data scientists to study genomics, drug discovery, disease modeling, or evolutionary biology. Typical responsibilities include writing algorithms, processing large datasets, and interpreting biological patterns. This role requires expertise in programming languages like Python or R and knowledge of bioinformatics tools. Remote work allows flexibility in contributing to research projects for academic institutions, biotech companies, or pharmaceutical firms.

What are the most commonly searched types of Computational Biologist jobs in Raleigh, NC?

The most popular types of Computational Biologist jobs in Raleigh, NC are:

What job categories do people searching Remote Computational Biologist jobs in Raleigh, NC look for?

The top searched job categories for Remote Computational Biologist jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Computational Biologist jobs?

Cities near Raleigh, NC with the most Remote Computational Biologist job openings:

Infographic showing various Remote Computational Biologist job openings in Raleigh, NC as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% Remote job distribution, with an average salary of $91,364 per year, or $43.9 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Raleigh, NC • Remote

$90 - $120/hr

Part-time

Posted 17 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.