Atomic AI · 3 weeks ago
Data Scientist, RNA Biology
South San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
$135K/yr - $180K/yrAtomic AI is a company that builds artificial intelligence to pioneer new frontiers in drug discovery. They are seeking a Data Scientist to work on RNA structure prediction and early-stage drug discovery, collaborating with scientists and engineers to enhance their technology platform and improve machine learning models.
Artificial Intelligence (AI)Machine LearningMedical
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
Qualification
Required
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
Preferred
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
Benefits
Equity
Benefits
Company
Atomic AI
Atomic AI combines machine learning with structural biology to enable the design of RNA-targeted small molecules and RNA-based therapeutics.
Founded in 2021
11-50 employees
H1B Sponsorship
Atomic AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
Funding
Current Stage
Early StageTotal Funding
$42MKey Investors
Playground Global8VC
2023-08-29Series A
2023-01-25Series A· $35M
2021-01-01Seed· $7M
Leadership Team
Raphael Townshend
Founder & CEO
Recent News
Greylock
2025-12-01
Company data provided by crunchbase