ML Research Scientist - Computational Biologist/Bioinformatics

About the team

Our Bio team designs, builds, and characterizes the biotechnologies that form the foundation of next-generation brain-computer interfaces. We combine molecular engineering, synthetic biology, neuroscience and advanced physical methods such as ultrasound to establish less invasive, high-bandwidth connections with neurons. The Bio team develops our core molecular technologies, validates their performance in vitro and in vivo, and demonstrates their advanced capabilities in animal models. We build custom experimental setups and pipelines and collaborate closely with engineers and data scientists. We work across disciplines to come up with creative ideas and solve some of the most challenging problems in biotechnology.

About the role

We're hiring a Senior / Principal Computational Biologist (Bioinformatics / Omics) to lead the design and deployment of large-scale omics pipelines, integrate multi-modal biological data, and collaborate with ML teams to uncover mechanistic and predictive insights. You'll architect data processing frameworks that convert raw omics data into clean, analysis-ready datasets and build ML-integrated pipelines that extract deeper meaning from this data. Over time, you'll help translate these into predictive frameworks that accelerate molecular engineering, inform experimental campaigns, and enable the discovery of highly functional molecules.

In this role, you will:

• Build the scientific and engineering scaffolding for bioinformatics and computational biology writ-large. Design, optimize, and maintain pipelines for genomics, transcriptomics, and proteomics data.
• Collaborate with wet-lab scientists to define tractable optimization objectives and encode domain specific priors and constraints.
• Prototype modeling frameworks using internal and public datasets; benchmark and validate performance.
• Serve to non-domain experts for democratization of first-principles analysis
• Stay up-to-date with the latest research in computational biology and prototype novel algorithms that can be deployed to improve the company's discovery or development workflows.
• Contribute to the long-term research roadmap and serve as a thought-leader for scientists.

You might thrive in this role if you have:

• Deep experience with omics data analysis (bulk and single-cell) and bioinformatics pipelines.
• Expertise in Python and/or R; fluency with workflow management tools (e.g. Nextflow / Dagster)
• Proficiency in Python / PyTorch / Jax and comfort writing clean, reproducible production grade code.
• Experience bridging computational biology and experimental science—working with sparse, noisy, and or high-cost data.
• A collaborative, systems-level mindset.

Nice to have

• Familiarity with neuroscience
• Familiarity with transfer-learning paradigms