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Rna Biology Jobs (NOW HIRING)

Baylor College of Medicine

WI · On-site

$62.23 - $70/hr

Postdoctoral Associate - Hematopoiesis and RNA Biology Division: Center for Gene Therapy | Location: Houston, TX | Work Arrangement: Onsite only | Salary Range: $62,232 - $70,000 (FLSA Status: Exempt ...

Conception

Senior Scientist, RNA Delivery

Berkeley, CA · On-site

$80 - $120/hr

About Conception Conception is pioneering the future of reproductive biology by generating ... This position sits at the intersection of RNA biology, delivery technology, stem cell ...

University Of Florida

NY · On-site

$48K - $65K/yr

Cell Chemical Biology (2019) 26:179-190; doi: 10.1016/j.chembiol.2018.10.018 * Targeted RNA degradation and related technologies: * Nature Reviews Drug Discovery (2023) 618(7963): 169-179; doi: 10 ...

University of Rochester

$70K - $105K/yr

The Center for RNA Biology (CRB) is a large and complex interdepartmental research center, which includes other large subdivisions and projects. This Center consists of faculty members across the ...

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How much do rna biology jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for rna biology in the United States is $26.92, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $39.66 per hour, depending on experience, location, and employer.

What is RNA biology?

RNA biology is the study of ribonucleic acid (RNA), including its structure, function, and roles in cellular processes. It encompasses how RNA is synthesized (transcription), processed, modified, and how it regulates gene expression and interacts with other molecules. RNA biology is crucial for understanding fundamental life processes, development, and many diseases. Researchers in this field often investigate topics like messenger RNA (mRNA), non-coding RNAs, RNA splicing, and RNA-based therapeutics.

What are the key skills and qualifications needed to thrive as an RNA biologist, and why are they important?

To thrive as an RNA Biologist, you need a strong background in molecular biology, biochemistry, and genetics, typically with an advanced degree (MSc or PhD) in a related field. Familiarity with techniques such as RNA sequencing, PCR, CRISPR, and bioinformatics tools is important, along with experience using laboratory information management systems (LIMS). Critical thinking, attention to detail, and strong communication skills are essential for experimental design, troubleshooting, and collaboration. These skills ensure rigorous scientific research, accurate data interpretation, and effective teamwork in advancing RNA-based discoveries.

What are some common challenges faced by professionals working in RNA biology research roles?

Professionals in RNA Biology often encounter challenges such as staying current with rapidly evolving technologies and methodologies, like high-throughput sequencing and single-cell analysis. Managing and interpreting large datasets can be demanding, requiring strong computational skills and collaboration with bioinformaticians. Additionally, designing experiments that accurately capture RNA dynamics and regulatory mechanisms can be complex, often necessitating interdisciplinary teamwork. Effective communication and adaptability are key to overcoming these challenges and advancing in this field.
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Rna Biology jobs near you
Infographic showing various Rna Biology job openings in the United States as of August 2026, with employment types broken down into 62% Full Time, 35% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $55,998 per year, or $26.9 per hour.

Data Scientist, RNA Biology

SupportFinity™

South San Francisco, CA • On-site

$135 - $180/hr

Other

Posted 4 days ago

Job description

At Atomic AI, we build artificial intelligence to pioneer new frontiers in drug discovery. Our unique R&D platform, an early version of which was featured on the cover of Science, provides new strategies to treat previously undruggable diseases by targeting RNA. We continue to advance this platform by developing new machine learning methods and unique foundation models fueled by our large-scale, in-house experimental data collection. We are an interdisciplinary team of scientists and engineers and believe our people are our greatest strength and the key to our success.

The opportunity

As a full-time Data Scientist on the Machine Learning team, you will work closely with scientists and engineers to apply and advance our technology platform for RNA structure prediction, target identification, and early-stage drug discovery. You will lead the curation of RNA-focused datasets for ML training and validation, discover statistical patterns in our large-scale datasets evaluating RNA structure and RNA-small molecule interactions, and devise and implement new strategies to test the accuracy of our ML models. Your analysis will guide the development of improved ML models and the targeted acquisition of new experimental data.

This is a hybrid position with three days in-person at our South San Francisco office.

Responsibilities
  • Provide RNA biology and RNA structure expertise on the ML team.
  • Enable and apply our RNA-structure platform to prioritize RNA targets for small-molecule therapies and advance structure-based drug discovery.
  • Generate insights from datasets on RNA structures and small molecule interactions (e.g. chemical probing, RNA-SM screens) by conducting statistical analyses, interpreting biological noise, and applying RNA domain expertise.
  • Curate RNA datasets for training of ML models, help evaluate model performance, and provide directions for improvement.
  • Inform scientific questions and ML model development in early-stage RNA drug discovery.
  • Collaborate with the internal wetlab team and shape the design of experimental assays on RNA structure and RNA-SM interactions.
About You
  • Ph.D. in Computational Biology, Bioinformatics, Statistics, Biophysics, or related field, or equivalent experience.
  • Expertise in RNA biology and biochemistry, RNA-protein interactions, and RNA structure.
  • Proficiency in Python for data curation and analysis at scale, and fluency with libraries for data analysis (NumPy, pandas) and applied ML (scikit-learn).
  • Strong programming background, familiarity with Unix and comfort with using external software packages.
  • Strong foundation in statistics and experience with conducting statistical analysis of large-scale datasets.
  • Excellent presentation and writing skills, able to clearly communicate technical information to colleagues.
Pluses
  • History of scientific achievement, e.g. as evidenced by publication of impactful papers.
  • Conceptual understanding of ML model development and evaluation, and experience using ML models.
  • Experience with computational structural biology tools for modeling RNA secondary and tertiary structure (e.g. Rosetta, AlphaFold, RNAfold).
  • Understanding of RNA-SM interactions, including familiarity with structural properties of binding sites and experimental methods for evaluating binding.
  • Proficiency with pipelines for next-generation sequencing dataset processing.
  • Exposure to high throughput experimental assays for evaluating RNA structure and screening RNA-SM interactions.

Salary Range: $135,000/year to $180,000/year + equity + benefits. This range reflects variations in seniority, expertise, and skills.

Atomic AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

About the company

Atomic AI

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