GPU Accelerated Bioinformatics Engineer

Prima Mente • San Francisco, CA

4d

About The Position

Prima Mente is a frontier biology AI lab. We generate our own data, build general purpose biological foundation models, and translate discoveries into research and clinical outcomes. Our first goal is to tackle the brain: to deeply understand it, protect it from neurological disease, and enhance it in health. Our team of AI researchers, experimentalists, clinicians, and operators is based in London, San Francisco and Dubai. Role focus - GPU-accelerated bioinformatics Architect, build, and own scalable production pipelines that process multi-omics data for AI model development, moving from hypothesis to patent-ready results in months, not years.

Requirements

• Knowledge of GPU computing backbone, whether directly through GPU-accelerated bioinformatics (e.g., NVIDIA Parabricks, Clara, Rapids, etc.) or through the ability to identify GPU vs. CPU optimisation in other contexts
• Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack.
• Strong working knowledge with cloud computing environments, including but not limited to AWS and GCP
• First-hand deep experience with at least 2-3 large omics types (genomics, transcriptomics, chromatin accessibility, DNA methylation, histone modifications profiling, etc.)
• Experience with end-to-end tools used to process multi-omic data from raw data all the way to analytical outputs. Good working knowledge of workflow managers (e.g., Flyte, Nextflow, Snakemake).
• Familiar with data wrangling, analysis, and visualisation libraries using Python (preferable), R or Julia.
• Strong data engineering knowledge, including but not limited to experience with Spark, Hadoop, NoSQL.

Responsibilities

• Design and implement GPU-native bioinformatics pipelines using Flyte and/or Nextflow) for multi-omics data processing at scale (1000+ samples)
• Optimising cost and performance, leveraging GPU acceleration where it matters
• Work with experimental and machine learning teams to confirm and refine computational findings, and to ensure processing aligns with model needs
• Develop and manage specific external research collaborations with academic and industrial partners

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed