Immunara is an AI biology lab building biological superintelligence, starting with world models of immune disease.
The immune system is the body's defence network. It's constantly reading signals and coordinating responses, deciding when to attack, tolerate, or repair. When that system goes wrong, it drives some of the hardest problems in medicine: autoimmune disease, cancer, chronic inflammation, infection, and more.
But immunology remains one of biology's most complex frontiers. Autoimmune disease is so poorly understood that drug response rates are often as low as 10-20%, wasting years of patient time and billions of dollars in failed treatment and clinical trials.
We believe the next leap in medicine will come from AI models that learn biology. By training on large, multimodal biomedical datasets we believe it is possible to simulate immune disease, predict drug response, and radically improve how new therapies are discovered and developed.
In partnership with leading academic medical centres and pharma, we generate proprietary biological & clinical data directly from patients and use it to train world models of immune disease. Our mission is to create biological simulations, predict patient response, and radically improve clinical trial success rates.
We've raised a large funding round from leading Silicon Valley investors to achieve this goal.
Design, train, and evaluate deep learning models for high-dimensional biological data, including molecular and clinical datasets.
Build robust training infrastructure so that a small, elite team can run ambitious experiments with speed and scientific discipline.
Develop rigorous evaluation frameworks for biological prediction.
Turn biological questions into modelling problems, and results into biological insight.
Build towards agentic biology: systems that can reason over biological data, generate hypotheses, design experiments, use scientific tools, interpret results, and improve through feedback.
Work closely with a world-class team at the intersection of biology & engineering to reason from first principles about how to compute biology.
Help define the technical stack, research standards, and engineering culture of Immunara from the ground up.
Contribute to the our mission of simulating biology, and ultimately curing disease.
High agency — You are comfortable with ambiguity, move fast without needing permission, and take ownership of hard problems. Like us, you're intense and opinionated!
Elite ML/DL depth — You have a deep understanding of the fundamentals of machine learning and have built research-grade models.
Engineering taste —You make hard things simple and take creative approaches to modelling problems.
Research judgement — You can design experiments, diagnose failure modes, and decide what to try next, while staying anchored to what the work must ultimately make possible for patients, scientists, and drug developers.
Experience with Bio-ML — Ideally, you have worked with biological data such as single-cell, transcriptomics, proteomics, imaging, EHR, clinical trial, or other high-dimensional biomedical datasets.
We want Immunara to the best place in the world to do ambitious AI biology work. Early hires will receive exceptional support and significant ownership.
Benefits include:
Competitive, top-of-market compensation.
Significant equity package to share directly in the upside of building a category-defining company.
Comprehensive private medical coverage.
A significant budget to purchase best-in-class equipment, research tooling, software, and the infrastructure you need to do your best work.
Access to the compute and petabytes of proprietary biomedical data required to train ambitious models.
Opportunities to attend leading AI, biology, and scientific conferences — fully-funded.
Regular team meals, a stocked office, and a working environment designed for high-performance collaboration.
Flexible time off with no strict limits.
Compensation Range: $150K - $300K
