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Rna Scientist Jobs (NOW HIRING)

Cloverleaf Bio

Scientist, RNA Biochemistry

New Haven, CT · On-site

... RNA sequencing libraries, performing mechanistic studies in cells on lead candidate RNAs, and diving into new disease areas beyond oncology. About You Excited by the science. We are excited by how ...

Cloverleaf Bio

Scientist, RNA Biochemistry

New Haven, CT · On-site

... RNA sequencing libraries, performing mechanistic studies in cells on lead candidate RNAs, and diving into new disease areas beyond oncology. About You Excited by the science. We are excited by how ...

Dyne Therapeutics

Scientist, RNA Chemistry

Waltham, MA · On-site

$118K - $145K/yr

As a member of the Platform team, the Scientist, RNA Chemistry will contribute to the development of Dyne's oligonucleotide chemistry platform and support the discovery of novel nucleic acid ...

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How much do rna scientist jobs pay per hour?

As of May 28, 2026, the average hourly pay for rna scientist in the United States is $41.31, according to ZipRecruiter salary data. Most workers in this role earn between $32.45 and $47.60 per hour, depending on experience, location, and employer.

What is an RNA Scientist job?

An RNA Scientist researches RNA molecules, their functions, and applications in fields like medicine, biotechnology, and genetics. They design experiments to study RNA expression, develop RNA-based therapeutics, and improve gene-editing technologies. This role often involves working with techniques such as PCR, RNA sequencing, and bioinformatics. RNA Scientists contribute to advancements in drug discovery, vaccine development, and disease diagnostics.

What are the key skills and qualifications needed to thrive in the Rna Scientist position, and why are they important?

To thrive as an RNA Scientist, you need a solid background in molecular biology, biochemistry, and RNA research, typically supported by a relevant advanced degree such as a PhD or MSc. Proficiency in tools like PCR, next-generation sequencing platforms, RNA extraction techniques, and bioinformatics software is essential. Strong analytical thinking, effective collaboration, and clear scientific communication help candidates excel in multidisciplinary research environments. These skills and qualities are crucial to advancing RNA-based discoveries and developing innovative solutions in biomedical science.

What are some typical responsibilities an RNA Scientist handles on a daily basis?

An RNA Scientist typically conducts experiments involving RNA extraction, purification, and analysis, often using advanced molecular biology techniques like qPCR and sequencing. Daily responsibilities may also include designing research studies, analyzing large datasets, maintaining detailed lab records, and presenting findings to the broader research team. Collaboration is common, as RNA Scientists frequently work alongside bioinformaticians, chemists, and other biologists to achieve research goals. This role suits those who thrive in a dynamic laboratory environment and are passionate about advancing knowledge in gene expression and RNA biology.
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Data Scientist, RNA Biology

Atomic AI

South San Francisco, CA

$135K - $180K/yr

Other

Posted 6 hours 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. 

About Atomic AI

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

11 - 50 Employees

Headquarters location

South San Francisco, CA, US

Year founded

2021

Social media

Twitter

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