About the role
About Blank Bio
Blank Bio is an applied AI research lab focused on increasing the success rates of clinical trials. We do this by training RNA foundation models that learn the patterns that shape disease progression and patient response to treatment. We aim to help pharma make more informed decisions in clinical trials by capturing the biology that makes each patient’s tumour unique.
We’re a technical team of AI scientists and engineers from companies including Recursion, Deep Genomics, DeepMind, and Amazon, and institutions including Memorial Sloan Kettering Cancer Centre, Stanford, and the Vector Institute.
The Role
We are looking for a Software Engineer to own the engineering systems that hold our research and product surface together: benchmarking suites, containerization, internal tooling, partner-facing inference, and the reproducibility scaffolding that lets the rest of the team move fast without breaking things. You will work closely with our ML engineers and research scientists. As an early-stage startup, we move fast, work across disciplines, and embrace ambiguity. We’re looking for people who thrive in dynamic environments, are eager to take ownership, and want to help define both the science and the culture of the company.
Responsibilities
- Build and maintain our benchmarking infrastructure for evaluating models against the tasks that matter clinically.
- Containerize training, evaluation, and inference workloads so they run identically anywhere we ship them, including air-gapped partner environments.
- Build the data pipelines and internal tooling that scientists use day to day, from raw RNA-seq through preprocessing, QC, and result delivery.
- Build the inference services partners use to run our models against their own data.
Qualifications
Must-haves
