ZipRecruiter

Log In

2

Remote Rn Case Review Jobs in Suffolk, VA (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Suffolk, VA · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

BetterHelp

Clinical Psychologist- Remote

Norfolk, VA · Remote

$66K - $82K/yr

Work from the comfort of home (fully remote) * Flexible schedule - you set your own hours. * Free ... Also, we are unable to accept substance abuse counselors, school counselors, registered nurses ...

micro1 AI

Computational Biologist - AI Reviewer

Hampton, VA · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

micro1 AI

Computational Biologist - AI Reviewer

Norfolk, VA · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

micro1 AI

Computational Biologist - AI Reviewer

Suffolk, VA · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry ...

Sentara Healthcare

Care Coordinator

Norfolk, VA · On-site +1

$18.75 - $25.25/hr

This position is remote work from home with travel to Nursing facilities required. Hours of ... The Care Coordinator performs a variety of casework duties and provides case management services to ...

previous page

Showing results 41-60

All JobsRn Case Review JobsRemote Rn Case Review JobsRemote Rn Case Review Jobs in Suffolk, VA

Remote Rn Case Review information

See Suffolk, VA salary details

$18

$45

$76

How much do remote rn case review jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote rn case review in Suffolk, VA is $45.22, according to ZipRecruiter salary data. Most workers in this role earn between $33.61 and $54.66 per hour, depending on experience, location, and employer.

What is the difference between Remote Rn Case Review vs Remote Rn Utilization Review?

AspectRemote Rn Case ReviewRemote Rn Utilization Review
CredentialsRegistered Nurse (RN), licensure, case review certificationsRegistered Nurse (RN), licensure, utilization review certifications
Work EnvironmentRemote, healthcare settings, insurance companiesRemote, healthcare settings, insurance companies
Employer & IndustryHospitals, insurance firms, healthcare providersInsurance companies, healthcare management organizations

Remote Rn Case Review and Remote Rn Utilization Review roles both involve remote nursing work within the healthcare and insurance industries. While they share similar credentials and work environments, case review focuses on evaluating individual patient cases, whereas utilization review assesses the necessity and appropriateness of healthcare services. Understanding these distinctions helps job seekers identify the right role based on their skills and career goals.

What are popular job titles related to Remote Rn Case Review jobs in Suffolk, VA? For Remote Rn Case Review jobs in Suffolk, VA, the most frequently searched job titles are:
What job categories do people searching Remote Rn Case Review jobs in Suffolk, VA look for? The top searched job categories for Remote Rn Case Review jobs in Suffolk, VA are:
What cities near Suffolk, VA are hiring for Remote Rn Case Review jobs? Cities near Suffolk, VA with the most Remote Rn Case Review job openings:
Remote Rn Case Review jobs near you
Infographic showing various Remote Rn Case Review job openings in Suffolk, VA as of August 2026, with employment types broken down into 62% Full Time, 33% Part Time, and 5% Contract. Highlights an 10% In-person, and 90% Remote job distribution, with an average salary of $94,054 per year, or $45.2 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Suffolk, VA • On-site, Remote

$90 - $120/hr

Part-time

Posted 10 days ago

Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer 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 annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.

Apply