Blank Bio is looking to decode RNA biology to accelerate the discovery and development of RNA-based therapeutics, biomarkers, and diagnostics by building the next generation of RNA foundation models
Requirements
- PhD (or equivalent experience) in Machine Learning, Computational Biology, or related fields
- Demonstrated track record in ML research (publications, impactful projects, or deployed systems)
- Expertise in representation learning, generative models, or large-scale sequence modeling
- Ability to independently design and execute research projects
- Familiarity with transcriptomics, RNA biology, or other -omics data
- Experience developing benchmarks for biological or clinical ML tasks
Responsibilities
- Design and prototype new ML methods (representation learning, generative modeling, contrastive pretraining) for RNA biology
- Develop benchmarks and evaluation frameworks for tasks spanning diagnostics, patient stratification, biomarker discovery, and RNA design
- Analyze large-scale sequencing datasets (bulk RNA-seq, single-cell, long-read) to inform model development and evaluation
- Collaborate with experimental and clinical partners to validate predictions in diverse biological and medical settings
Other
- PhD (or equivalent experience) in Machine Learning, Computational Biology, or related fields
- Ability to work in a dynamic environment and take ownership
- Willingness to collaborate with cross-functional teams
- Generous vacation and parental leave policies
- Comprehensive health, dental, and vision coverage
