Blank Bio

Job Summary:
Blank Bio is an applied AI research lab focused on increasing the success rates of clinical trials through innovative RNA foundation models. The Machine Learning Research Scientist will design novel ML methods and develop evaluation benchmarks to enhance diagnostic and treatment processes in clinical trials.
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 more
• Analyze large-scale sequencing datasets (bulk RNA-seq, single-cell, long-read) to inform model development and evaluation.
Qualifications:
Required:
• 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, and/or large-scale sequence modeling.
• Ability to independently design and execute research projects.
Preferred:
• Familiarity with transcriptomics, RNA biology, or other -omics data.
• Experience developing benchmarks for biological or clinical ML tasks.
• Prior collaboration with clinical researchers, diagnostic developers, or biomarker discovery teams.
• Previous work in an early-stage, fast-paced environment.
Company:
Blank Bio is an applied AI research company developing RNA foundation models that analyze biological sequence data for therapeutic research. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.