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Rna Pay Rate Jobs (NOW HIRING)

Instant Serve LLC

Microbiologist

Indianapolis, IN · On-site

$23.50/hr

Indianapolis, IN 46202 Duration: 6 Month + Pay Rate: $23.50 / hr on 1099 all inclusive Description ... A.) in a biological science. • Experience performing RNA/DNA extraction and PCR testing is ...

The University of Chicago

Research Technician

Chicago, IL · On-site

$24.04 - $33.65/hr

Next-Generation Sequencing, PCR, Quantitative RT-PCR, DNA/RNA purification, cloning, reporter gene ... Pay Rate Type Hourly FLSA Status Non-Exempt Pay Range $24.04 - $33.65 The included pay rate or ...

Astrix Inc

Research Associate II

South San Francisco, CA · On-site

... Pay rate: A leading research organization is seeking a Research Technician II to support cutting ... Conduct custom DNA/RNA amplicon preparation and sequencing workflows * Execute molecular biology ...

Pacs

Restorative Nursing Assistant

Westwood, MA · On-site

$22 - $28/hr

Competitive pay Healthcare Benefits including Vision & Dental (Full-time only) 401k with match ... Current, unencumbered CO CNA license Experience as a RNA required Rate $22-$28/hour Ready to make a ...

PACS

Restorative Nursing Assistant

Denver, CO · On-site

$25 - $28/hr

Competitive pay Healthcare Benefits including Vision & Dental (Full-time only) 401k with match ... Current, unencumbered CO CNA license Experience as a RNA required Rate $25-$28/hour Ready to make a ...

Pacs

Restorative Nursing Assistant

Brookshire, TX · On-site

$25 - $28/hr

Competitive pay Healthcare Benefits including Vision & Dental (Full-time only) 401k with match ... Current, unencumbered CO CNA license Experience as a RNA required Rate $25-$28/hour Ready to make a ...

NorthShore

Research Assistant-Genetics

Evanston, IL · On-site

$18.84 - $27.32/hr

Hourly Pay Range: $18.84 - $27.32 - The hourly pay rate offered is determined by a candidate ... and single-cell RNA-sequencing as well as computational analyses of the data. One research ...

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All JobsRna Pay Rate Jobs

Rna Pay Rate information

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$24K

$80K

$150.5K

How much do rna pay rate jobs pay per year?

As of Jul 15, 2026, the average yearly pay for rna pay rate in the United States is $79,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $89,000.00 per year, depending on experience, location, and employer.

Can RN make 300k a year?

Registered nurses (RNs) typically do not earn $300,000 annually; their salaries usually range from $60,000 to $110,000 depending on experience, location, and specialization. Advanced roles such as nurse anesthetists or nurse practitioners with specialized certifications can approach or exceed this figure, especially with overtime or working in high-demand areas.

What is the difference between Rna Pay Rate vs Rn Pay Rate?

AspectRna Pay RateRn Pay Rate
CredentialsRegistered Nurse (RN) license, certificationsRegistered Nurse (RN) license, certifications
Work EnvironmentHospitals, clinics, healthcare facilitiesHospitals, clinics, healthcare facilities
Industry UsageHealthcare, medical servicesHealthcare, medical services
Comparison FocusPay rates for Rna rolesPay rates for RN roles

The main difference between Rna Pay Rate and Rn Pay Rate lies in the specific job titles. Rna Pay Rate refers to pay for roles involving Registered Nurse Assistants or similar positions, while Rn Pay Rate pertains to licensed Registered Nurses. Both roles work in similar healthcare environments and require comparable certifications, but their pay rates can differ based on experience, location, and employer policies.

Does RNA pay more than CNA?

Registered Nurse Anesthetists (RNA) typically earn higher salaries than Certified Nursing Assistants (CNA). RNAs require advanced education and certification, which contribute to their higher pay, whereas CNAs usually have less formal training and lower wages. Salary differences reflect the level of responsibility and required qualifications for each role.

Can an RN make $200,000?

Registered nurses (RNs) can earn $200,000 or more annually, primarily through overtime, working in high-paying specialties like nurse anesthetists or in certain geographic areas with higher wages. Advanced certifications, experience, and working in specialized fields or management roles can also contribute to higher salaries.

What type of RN gets paid the most?

Registered Nurse (RN) specialties such as Nurse Anesthetists, Nurse Practitioners, and Nurse Midwives tend to have the highest pay rates due to advanced training and certification requirements. These roles often require additional education, certification, and experience, and they typically work in specialized or high-demand settings like hospitals or clinics.
More about Rna Pay Rate jobs
What cities are hiring for Rna Pay Rate jobs? Cities with the most Rna Pay Rate job openings:
What states have the most Rna Pay Rate jobs? States with the most job openings for Rna Pay Rate jobs include:
What job categories do people searching Rna Pay Rate jobs look for? The top searched job categories for Rna Pay Rate jobs are:
Rna Pay Rate jobs near you
Infographic showing various Rna Pay Rate job openings in the United States as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $79,996 per year, or $38.5 per hour.
Data Scientist Contractor, Computational Biology

Data Scientist Contractor, Computational Biology

CAMP4 Therapeutics

Cambridge, MA

$64K - $64K/yr

Contractor

Posted 20 days ago

Job description

Position Title: Data Scientist Contractor, Computational Biology (6-month contract)
Reports To: Senior Director, Head of Data Sciences
Location: Cambridge, MA
Join the adventure!
CAMP4 is seeking a Data Science Contractor for a 6-month temporary contract assignment, specializing in Computational Biology, Bioinformatics, or Systems Biology, to support the processing, analysis, visualization, and interpretation of next-generation sequencing datasets. This assignment will have a particular focus on RNA-seq, scRNAseq, and long-read sequencing data, including Nanopore and PacBio platforms.
The successful candidate will apply state-of-the-art computational tools and, where needed, develop fit-for-purpose analytical approaches to interrogate complex genomics datasets. This role will help generate focused biological hypotheses to support target identification, target validation, and drug discovery programs. The candidate will work closely with experimental biologists and data scientists to systematically apply hypothesis-driven genomics approaches to advance CAMP4’s understanding of transcriptional mechanisms of disease and therapeutic strategies derived from them.

Key Responsibilities:
  • Process, analyze, visualize, and interpret next-generation sequencing (NGS) datasets, with an emphasis on bulk RNA-seq, scRNAseq, and long-read RNA sequencing, including Nanopore and PacBio sequencing data.
  • Execute bioinformatics analyses according to predefined analysis plans, including quality control, alignment, quantification, differential expression analysis, isoform/transcript analysis, splicing analysis, and integrative interpretation of results.
  • Collaborate closely with cross-functional teams, including experimental biologists, computational scientists, and project teams, to develop, refine, and execute research plans.
  • Provide clear biological interpretation and scientific context for computational results to support target discovery, validation, and mechanistic understanding.
  • Evaluate, implement, and apply new bioinformatics methods, tools, and emerging technologies relevant to transcriptomics, long-read sequencing, and functional genomics.
  • Develop scripts, workflows, and software tools where gaps exist to enable reproducible and scalable data analysis.
  • Provide conceptual input into analysis plans, including analytical strategy, study design, prioritization, and interpretation of key results.
  • Participate in cross-functional discussions to refine project goals, identify key priorities, and communicate findings effectively to both computational and experimental scientists.
  • Demonstrate strong ownership, attention to detail, and a sense of urgency in delivering high-quality analyses that support the discovery of breakthrough medicines for patients.
Qualifications:
Education amp; Experience
  • PhD in Bioinformatics, Computational Biology, Systems Biology, or a related field with 3+ years of relevant industry or postdoctoral experience.
Skills amp; Competencies
  • Strong hands-on experience analyzing NGS datasets, especially RNA-seq, scRNAseq, and long-read sequencing data from Nanopore and/or PacBio platforms.
  • Familiarity with long-read sequencing tools and workflows for transcript discovery, isoform characterization, or full-length transcript analysis is highly desirable.
  • Experience with additional functional genomics datasets, such as ATAC-seq, ChIP-seq, and PRO-seq.
  • Solid background in statistics and strong programming skills in Python and/or R.
  • Experience working in a Linux environment and using high-performance computing clusters and/or cloud computing platforms such as AWS.
  • Familiarity with human genome annotation resources, biological pathway databases, and systems biology concepts.
  • Strong commitment to reproducible research, best practices in software development, documentation, and version control.
  • Excellent collaboration and communication skills, with the ability to explain computational results clearly to experimental scientists and cross-functional teams.
  • Strong attention to detail, high professional integrity, and commitment to excellence in execution.
  • Creative and solution-oriented with the ability to develop fit-for-purpose approaches for diverse data and project needs.
  • Passionate about applying computational biology and genomics to translate fundamental scientific discoveries into medicines that improve patients’ lives.
Compensation:
Pay rate for this role will be determined based on the candidate’s skills and experience.

About CAMP4:
CAMP4 is developing disease-modifying treatments for a broad range of genetic diseases where amplifying healthy protein may offer therapeutic benefits. Our approach amplifies mRNA by harnessing a fundamental mechanism of how genes are controlled. To amplify mRNA, our therapeutic ASO drug candidates target regulatory RNAs (regRNAs), which act locally on transcription factors and are the master regulators of gene expression. CAMP4’s proprietary RAPTM Platform enables the mapping of regRNAs and design of optimal chemistry to generate potent therapeutic candidates to address hundreds of genetic diseases across multiple tissues. Learn more about us at www.camp4tx.com and follow us @CAMP4tx.

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