ZipRecruiter

Log In

2

Remote Biologist Jobs in Raleigh, NC (NOW HIRING)

Danaher

Senior Engineer, Process Validation

Raleigh, NC · On-site +1

$100K - $130K/yr

... in biologics/small and large molecules manufacturing train using statistical analysis, risk ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Danaher

Senior Engineer, Process Validation

Raleigh, NC · On-site +1

$100K - $130K/yr

... in biologics/small and large molecules manufacturing train using statistical analysis, risk ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

Bestzyme

Sr./ Sales Manager, Sweet Protein

Durham, NC · Remote

$100K - $130K/yr

Through advanced enzymes and synthetic biology, Bestzyme enhances the natural world and creates a ... United States - Remote The estimated salary range is $100,000 - $130,000 based on experience level.

Danaher

Medical OEM Territory Manager

Raleigh, NC · On-site +1

$105K - $115K/yr

Our incredible customers undertake life-saving activities ranging from fundamental biological ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

CEDENT

Director of Preclinical Research

Durham, NC · On-site +1

Local or remote candidates are encouraged to apply * Preferred start date is August 2025 ... PhD, MD, PharmD or equivalent degree in the biological sciences * At least 5 years of industry ...

next page

Showing results 1-20

All JobsBiologist JobsRemote Biologist JobsRemote Biologist Jobs in Raleigh, NC

Remote Biologist information

See Raleigh, NC salary details

$36K

$86.9K

$134.1K

How much do remote biologist jobs pay per year?

As of Jul 24, 2026, the average yearly pay for remote biologist in Raleigh, NC is $86,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $117,600.00 per year, depending on experience, location, and employer.

How do remote biologists typically collaborate with lab-based teams and manage fieldwork responsibilities?

Remote biologists often use digital tools and platforms to maintain close communication with lab-based colleagues, sharing data, research updates, and collaborating on analysis in real-time. While their primary work location is remote, they may coordinate fieldwork by planning site visits, managing sample collection logistics, and using remote sensing technology or local field assistants. Effective time management and clear communication are crucial, as remote biologists must balance independent tasks with collaborative projects and periodic meetings to ensure research goals are met.

What is a remote biologist?

A remote biologist is a professional who studies living organisms and ecosystems while working outside of a traditional laboratory or office setting, often from home or in the field. They may conduct data analysis, write research papers, and collaborate with colleagues virtually. Remote biologists use digital tools to collect and interpret data, participate in virtual meetings, and contribute to scientific research. This role allows for flexibility and can involve working for academic institutions, government agencies, or private companies.

What are the key skills and qualifications needed to thrive as a Remote Biologist, and why are they important?

To thrive as a Remote Biologist, you need a solid background in biological sciences, research methodologies, and data analysis, typically supported by a degree in biology or a related field. Familiarity with statistical software (such as R or Python), GIS tools, and virtual collaboration platforms is often required. Strong self-motivation, written communication, and problem-solving abilities help individuals excel when working independently or with remote teams. These skills are crucial for conducting accurate research, sharing findings effectively, and maintaining productivity outside a traditional lab or field environment.
What are the most commonly searched types of Biologist jobs in Raleigh, NC? The most popular types of Biologist jobs in Raleigh, NC are:
What are popular job titles related to Remote Biologist jobs in Raleigh, NC? For Remote Biologist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Biologist jobs in Raleigh, NC look for? The top searched job categories for Remote Biologist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Biologist jobs? Cities near Raleigh, NC with the most Remote Biologist job openings:
Remote Biologist jobs near you
Infographic showing various Remote Biologist job openings in Raleigh, NC as of July 2026, with employment types broken down into 10% Locum Tenens, 21% Internship, 43% Full Time, 7% Part Time, 2% Contract, and 17% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $86,907 per year, or $41.8 per hour.

Senior MLOps Engineer- Remote[Candidates must work PST hours]

OMG Technologies

Raleigh, NC • On-site, Remote

$70/hr

Contractor

Posted yesterday

Job description

This opportunity is for a Senior MLOps Engineer role with one of our clients. Please find the job description below.
Position Overview :
Role: Sr MLOps Engineer
Location: Remote[ Candidates must work PST hours ]
Duration: 12+Months
Contract Role
Rate: $60/hr on W2 | $70/hr on C2C
Job Summary
The Sr. Engineer, Machine Learning Operations, with minimal guidance, works independently and with cross-functional partners-including biostatisticians, bioinformatics scientists, AI scientists, and software engineers-to deploy, operate, and scale machine learning solutions in production for advanced cancer screening and precision oncology applications. The role designs, builds, and maintains robust ML platforms and pipelines that ensure reliability, security, and compliance across the full model lifecycle-from data ingestion, model training, versioning and evaluation, through deployment, monitoring, and continuous improvement. This role serves as a key resource, applying in-depth practical knowledge of ML Operations, software engineering, and cloud infrastructure to solve complex problems across multiple projects, ensuring AI/ML models are production-ready, observable, and aligned with the company's mission to help eradicate cancer.
Essential Duties
Include, but are not limited to, the following:
  • Designs, implements, and maintains end-to-end MLOps pipelines for training, validation, deployment, and monitoring of ML and AI models used in cancer screening and precision oncology solutions.
  • Builds and operates scalable, secure ML infrastructure on cloud and container platforms (e.g., AWS/Azure/GCP, Docker, Kubernetes) to support batch and real-time inference workloads.
  • Implements CI/CD workflows for ML (data, model, and code), including automated testing, packaging, and promotion of models across development, staging, and production environments.
  • Establishes and manages model and data versioning, experiment tracking, and lineage to ensure reproducibility, auditability, and effective model governance.
  • Develops and maintains monitoring, logging, and alerting for model performance, data quality, drift, and system health, defining and meeting SLOs/SLAs for critical ML services.
  • Collaborates with data scientists, bioinformatics and biostatistics partners, and software/platform engineering teams to translate experimental workflows into production-grade services integrated into customer-facing and internal applications.
  • Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
  • Support and comply with the company's Quality Management System policies and procedures.
  • Maintain regular and reliable attendance.
  • Ability to act with an inclusion mindset and model these behaviors for the organization.
  • Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 90% of a typical working day.
  • Ability to travel 5% of working time away from work location, may include overnight/weekend travel.

Minimum Qualifications
  • Bachelor's Degree in a field related to essential duties; or Associates Degree and 2 years of relevant experience.; or High School Diploma or General Education Degree (GED) and 4 years of relevant experience.
  • 5 years of relevant job-related experience.
  • Demonstrated experience with Python, at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn), containerization and orchestration technologies (e.g., Docker, Kubernetes), and a major cloud platform (e.g., AWS, Azure, GCP) supporting ML workloads.
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.
  • Applicants must be currently authorized to work in country where work will be performed on a full or part-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time.

Preferred Qualifications
  • 2+ years of life sciences industry experience working with biological data.
  • 2+ years of industry experience in molecular diagnostics, preferably cancer diagnostics.
  • Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data.
  • Scientific understanding of cancer biology
  • Strong programming ability in Python and experience with at least one major ML framework (e.g., TensorFlow, PyTorch, scikit-learn).
  • Hands-on experience deploying and operating machine learning models in production, including experience with CI/CD pipelines, model packaging, and automated deployment.

Other Job Details
  • Number of Openings: 2-3
  • Work Schedule: Must be available to work PST hours
  • Industry Experience: Not required; strong technical expertise is the primary focus
  • Interviews: Video interviews.
  • Docs required: ID proof will be required

Apply