GPU/CPU Accelerated Bioinformatics Engineer at Prima Mente

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

0.0

Posted On

14 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

GPU Computing, CPU Computing, Bioinformatics Pipelines, Flyte, Nextflow, Multi-omics Data Processing, Cloud Infrastructure, AWS, GCP, Genomics, Transcriptomics, Chromatin Accessibility, DNA Methylation, Histone Modifications, Software Engineering, Data Engineering

Industry

Biotechnology Research

Description

About Prima Mente 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/CPU-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. Key Tasks: Design and implement GPU/CPU-native bioinformatics pipelines using Flyte and/or Nextflow) for multi-omics data processing at scale (1000+ samples) Optimising cost and performance, leveraging GPU/CPU 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 Cloud infrastructure Develop and manage specific external research collaborations with academic and industrial partners Expected Growth In 1 month you are deploying workflows on GPU/CPU-accelerated cloud infrastructure to process your own multi-omic experiments, while establishing relationships with AI/ML and wet lab teams to understand their requirements. In 3 months you directly own multiple optimised GPU/CPU-native pipelines processing in the order of 1,000s of samples with high speed improvements and significantly reduced costs, generating publication and patent-ready results. In 6 months your pipelines run in production as automatised as possible feeding AI model training daily, you’re co-designing experiments with AI/ML engineers and you’re leading technical execution on external collaborations with industrial and/or academic partners. Who You Are You want to redefine what’s possible at the frontier of AI and biology. You’re an engineer, not an analyst. You thrive pushing the boundaries of performance and efficiency and enjoy architecting the systems and making multiple fast technical decisions. You iterate and move fast. We don’t expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Ideal experience Knowledge of GPU/CPU computing backbone, whether directly through GPU/CPU-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. Location Based in San Francisco, US or London, UK. We support O1 (US) and GTV (UK) visa applications. Culture Insight What we are doing is extremely hard. Prima Mente is for great people. We are team players who appreciate challenges, want to be hands-on, and thrive on curiosity by throwing away assumptions. We are focused on excellence at pace and huge personal growth. We are strong communicators who are highly disciplined and rigorous. Prima Mente operates with a flat organizational structure. We gain and share knowledge by contributing to multiple opportunities. Leadership is given to those who show initiative and consistently deliver excellence. We arrange our lives so we can work in person as much as possible. Our Values Exceptional performance at exceptional pace The solutions we build demand uncompromising quality and rigour. The problems we are solving are grave and present. Inquisitive discovery We embrace curiosity and creativity. Every question is a path to a transformational breakthrough. Radical candour We practice unwavering honesty and transparency in all our challenges and interactions. Purposeful individuality Every individual in our team is celebrated for their identity, uniqueness, and experiences. We are invested in each one’s bespoke personal development. Nurturing individuality will supercharge our collective purpose and spirit. Patient impact at scale We have a steadfast commitment to improve the health and well-being of patients globally. Every experiment run, every dataset analysed, and every innovation developed, is a step towards achieving a scalable impact.

Responsibilities

The role focuses on architecting, building, and owning scalable production pipelines that process multi-omics data specifically for AI model development, aiming to move from hypothesis to patent-ready results rapidly. Key tasks include designing and implementing GPU/CPU-native bioinformatics pipelines using tools like Flyte or Nextflow for large-scale data processing while optimizing cost and performance.