Senior AI Bioinformatics Engineer – Remote

📍 Location Remote
💼 Job Type Full-time
⏱ Time Type Remote
💰 Salary Not specified (disclosed during hiring process) USD

We are building AI that can reason over one of the most complex datasets in existence: the human genome. Our work combines large language models, bioinformatics, and modern backend engineering to address problems that have not yet been solved. This role offers the opportunity to contribute at the intersection of machine learning and genomics, helping to create systems that enable new kinds of biological insight.

Role summary

As a Senior AI Bioinformatics Engineer, you will apply advances in large language models, bioinformatics, and backend engineering to develop systems that reason over genomic data and tackle novel scientific and engineering challenges.

Core focus areas

  • Design and develop AI models capable of reasoning over genomic information, leveraging large language model approaches where appropriate.
  • Integrate bioinformatics methods with modern backend engineering to build reliable, scalable pipelines and services.
  • Address open problems at the intersection of machine learning and genomics through rigorous experimentation and engineering.
  • Collaborate with cross-functional teams to turn research ideas into production-grade systems.

Why this role matters

This position sits at the confluence of computational biology and state-of-the-art AI. The work you do will help advance tools and systems that make it possible to reason about genomic data at scale, enabling discoveries and applications that are currently out of reach.

What to expect

  • Work on technically ambitious problems that combine modeling, data, and systems engineering.
  • Contribute to both research and engineering efforts to move ideas from concept to production.
  • Collaborate with domain experts across bioinformatics, machine learning, and software engineering.

If you are a senior engineer excited by the challenge of applying modern AI and engineering practices to genomics, we’d love to hear from you.

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