Atomic AI, Inc. is a well-funded, early-stage biotech company transforming the rational design of molecules and medicines through the cutting-edge fusion of artificial intelligence and structural biology. Atomic’s unique R&D platform, based on research featured on the cover of Science (, provides new strategies to treat or cure previously undruggable diseases by targeting RNA structure. We are an interdisciplinary team working across computational and experimental biology and believe that our strongest asset is our people.

The opportunity

As a full-time Scientist or Senior Scientist in the Bioscience team, you will advance our R&D technology platform for RNA structure prediction, target identification, and early drug discovery. You will implement existing and invent new chemical probing methods to determine RNA structure in high throughput. As an early employee, you will proactively shape the scientific and strategic vision of the company.

At Atomic AI, you will be an execution-focused self-starter with a passion for scientific research and a positive attitude when facing challenges. You will prioritize effectively amidst complexity, adapt nimbly to changing conditions, and grow outside of your comfort zone. You will collaborate thoughtfully and promote the success of all team members.

Primary responsibilities

  • Implement and invent methods using chemical probing to characterize RNA structure in vitro and in-cell.
  • Design, execute, and troubleshoot experiments and develop data analysis pipelines to understand RNA structure-function relationships.
  • Recruit, train, and oversee research associates.
  • Analyze, interpret, and organize data, and clearly document and communicate research outcomes to colleagues.
  • Work within a collaborative, high-caliber, interdisciplinary team.

About you

  • Ph.D. in Biology, Genetics, Biochemistry, Molecular Biology, Bioengineering, or related field.
  • Deep expertise in RNA structure, regulation, or engineering.
  • Experienced applying chemical probing methods (such as SHAPE-MaP, DMS-MaP, and M2-seq) to characterize the secondary and tertiary structure of RNA or RNA-protein interactions in high throughput.
  • Track record of developing and optimizing novel next-generation sequencing assays.
  • Proficient in data analysis using Python (or similar language) and common bioinformatics tools.
  • History of scientific achievement, as evidenced by publication of impactful papers.
  • Organized and rigorous in recording methodologies and results.
  • Excellent presentation and writing skills, able to clearly communicate technical information to colleagues.


  • 3+ years of relevant industry or post-doctoral research experience.
  • Experienced in biophysical characterization of RNA-protein or RNA-ligand interactions.
  • Experienced in protein purification techniques.
  • Familiar with concepts and methods in early drug discovery.

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.

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