At Atomic AI, the business problem is to pioneer new frontiers in drug discovery by targeting RNA and treating previously undruggable diseases.
Requirements
- 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.
- 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).
- Proficiency with pipelines for next-generation sequencing dataset processing.
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.
Other
- Ph.D. in Computational Biology, Bioinformatics, Statistics, Biophysics, or related field, or equivalent experience.
- Excellent presentation and writing skills, able to clearly communicate technical information to colleagues.
- History of scientific achievement, e.g. as evidenced by publication of impactful papers.
- Three days in-person at our South San Francisco office.
- 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.
