Location: San Francisco, CA
See all roles: Open Positions – Axiom Labs
Axiom Labs is focused on precision neurology: our mission is to understand the root causes, subtypes, and progression of neurodegenerative and psychiatric illnesses.
To see this through, Axiom is building a data foundation to better understand neurological disease at the molecular level. Our platform merges purpose-built hardware and computational tooling to build the best-in-class multi-omic dataset for human CNS disease. We take an open-ended, human-first approach to our data where all boundaries and assumptions are worth pressure-testing.
Axiom is backed by the top seed investors in Silicon Valley and looking for high-speed, entrepreneurial candidates.
Axiom Labs is always seeking driven and innovative Founding Computational Biologists / Machine Learning Engineers (Scientist I - Director) to advance our research into single-cell expression and cell imaging technologies. As a founding member of our scientific team, you will work collaboratively with a diverse group of engineers and scientists to generate meaningful biological insights, integrate modalities, and define useful biomarkers. This is a unique opportunity to shape the culture and scientific direction of a seed-stage company committed to groundbreaking, open-ended research.
Analyze and interpret single-cell and bulk transcriptomics, proteomics, advanced cell imaging, and clinical data data to uncover molecular signatures associated with disease mechanisms, progression, and diagnostics.
Develop algorithms and pipelines to solve problems at the core of our business.
Create tools to enhance the reproducibility and scalability of bioinformatics data analysis integrated across data modalities.
Explore mentored opportunities to build computational infrastructure, including databases (PostgreSQL), automated workflows (Nextflow), container environments (Docker), and APIs (REST).
Collaborate across disciplines, contributing your expertise while embracing a generalist mindset to tackle complex scientific challenges. Contribute to company-wide decision making.
Help shape the culture of a pioneering team dedicated to impactful and socially beneficial research.
Education: PhD (and 0-5 years of post-degree experience) or Master’s degree (and 2-8 years of work experience) in a relevant field.
Technical Proficiency: