GPU Accelerated Bioinformatics Engineer
GPU Accelerated Bioinformatics Engineer

GPU Accelerated Bioinformatics Engineer

Full-Time 28800 - 48000 £ / year (est.) No home office possible
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Prima Mente

At a Glance

  • Tasks: Architect and build GPU-accelerated bioinformatics pipelines for cutting-edge research.
  • Company: Join Prima Mente, a pioneering AI lab focused on brain health.
  • Benefits: Full-time role with opportunities for personal growth and impactful work.
  • Why this job: Make a real difference in healthcare by innovating at the intersection of AI and biology.
  • Qualifications: Experience in GPU computing and operational software engineering is a plus.
  • Other info: Dynamic team culture that values curiosity, excellence, and individual growth.

The predicted salary is between 28800 - 48000 £ per year.

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-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-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

Expected Growth

  • In 1 month you are deploying workflows on GPU-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-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 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.

Location

Based in San Francisco, US or London, UK. We support 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.

Seniority level: Entry level

Employment type: Full-time

Job function: Research, Analyst, and Information Technology

GPU Accelerated Bioinformatics Engineer employer: Prima Mente

At Prima Mente, we are at the forefront of AI-driven biology, offering a dynamic work environment in London that fosters innovation and collaboration. Our flat organisational structure encourages initiative and personal growth, while our commitment to exceptional performance ensures that every team member's contributions are valued. With a focus on cutting-edge research and a culture of curiosity, we provide unique opportunities for engineers to make a significant impact in the field of bioinformatics.
Prima Mente

Contact Detail:

Prima Mente Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land GPU Accelerated Bioinformatics Engineer

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Prima Mente. A friendly chat can open doors that applications alone can't.

✨Tip Number 2

Show off your skills! If you have a portfolio or GitHub with relevant projects, make sure to share it. It’s a great way to demonstrate your expertise in GPU-accelerated bioinformatics.

✨Tip Number 3

Prepare for the interview by understanding their mission. Dive deep into Prima Mente's work on brain health and think about how your skills can contribute to their goals.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step.

We think you need these skills to ace GPU Accelerated Bioinformatics Engineer

GPU Computing
Bioinformatics Pipeline Design
Multi-Omics Data Processing
Cloud Computing (AWS, GCP)
Operational Software Engineering
Workflow Managers (Flyte, Nextflow, Snakemake)
Data Wrangling and Analysis (Python, R, Julia)
Data Visualisation
Data Engineering (Spark, Hadoop, NoSQL)
Collaboration with AI/ML Teams
High-Quality Code Development
Performance Optimisation
Scalable Production Pipelines
Technical Decision Making

Some tips for your application 🫡

Show Your Passion for Bioinformatics: When writing your application, let your enthusiasm for bioinformatics shine through! Share why you're excited about the role and how your skills align with our mission at Prima Mente. We love seeing candidates who are genuinely interested in pushing the boundaries of AI and biology.

Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the GPU Accelerated Bioinformatics Engineer position. Highlight relevant experiences, especially those involving GPU computing and multi-omics data processing. We want to see how your background fits into our innovative team!

Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We appreciate candidates who can communicate complex ideas simply, as it reflects the collaborative spirit we value at Prima Mente.

Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us that you’re proactive and keen to join our team. We can't wait to hear from you!

How to prepare for a job interview at Prima Mente

✨Know Your Tech Inside Out

Make sure you’re well-versed in GPU computing and the specific tools mentioned in the job description, like Flyte and Nextflow. Brush up on your knowledge of multi-omics data processing and be ready to discuss how you've applied these technologies in past projects.

✨Showcase Your Problem-Solving Skills

Prepare to share examples of how you've tackled complex bioinformatics challenges. Think about specific instances where you optimised performance or reduced costs using GPU acceleration. This will demonstrate your ability to think critically and act decisively.

✨Understand the Company’s Mission

Familiarise yourself with Prima Mente's goals, especially their focus on brain health and AI in biology. Be prepared to discuss how your skills and experiences align with their mission and how you can contribute to their innovative projects.

✨Be Ready for Technical Questions

Expect technical questions that assess your coding skills and understanding of cloud environments. Practice coding problems related to bioinformatics and be ready to explain your thought process clearly. This will show your analytical skills and ability to communicate effectively.

GPU Accelerated Bioinformatics Engineer
Prima Mente
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