Jobs at Immunai, Inc.

Support lab operations and biorepository workflows in an on-site NYC lab: manage incoming samples and chain-of-custody, process biological samples, validate reagents and perform material QC, handle inventory and shipping, maintain lab cleanliness and EHS compliance, and serve as trained backup on the after-hours on-call rotation.

Design, build, and maintain scalable cloud infrastructure for big data and ML workloads. Manage Kubernetes/GKE, Helm, GPU clusters, CI/CD (GitHub Actions), GitOps (Argo CD), observability (Grafana/Loki/Prometheus/Datadog), and ClearML-based MLOps. Collaborate across DevOps, ML, data, and engineering teams to ensure reliable, secure, and cost-aware production environments.

Lead computational biology efforts for external pharma, biotech, and academic projects using single-cell multi-omics. Define objectives with stakeholders, execute reproducible analyses, develop new methods (including LLM-based tools), collaborate with multidisciplinary teams, communicate results via presentations and reports, and drive large-scale initiatives in immuno-oncology and autoimmune disease research.

Lead architecture and scaling of Immunai's data and AI platforms. Build end-to-end MLOps systems, manage GPU infrastructure and data stack (BigQuery, object storage, orchestration), improve developer experience with self-service platforms, mentor and manage a small ML infra team, and partner on security, compliance, and reliability.

Lead AI research and engineering for multimodal foundation models and reasoning/agent systems. Manage and grow teams of researchers, computational biologists, and engineers; own AI roadmap, model design, evaluation, and productionization. Build scalable training/serving pipelines, champion reproducibility, MLOps, CI/CD and cost-efficient GPU/TPU usage. Translate biological questions into impactful AI projects and align cross-functionally.

Lead product strategy and roadmap for Immunai's AI modeling framework, manage a team of product managers, align AI platform development with R&D and business goals, evangelize the product internally and externally, and drive value for internal users and external collaborators in drug discovery.

Hands-on research role developing and training transformer-based and related deep learning models for large-scale single-cell RNA data. Design experiments, perform ablations, analyze results, and collaborate with engineers, data scientists, and biologists to productionize foundation-model methods and ML infrastructure.

Lead computational biology efforts for industry collaborations, design and execute reproducible single-cell and multi-omics analyses, liaise with internal and external stakeholders, communicate results via visualizations and presentations, and develop novel methods to advance immuno-oncology and autoimmune disease research.

Lead design and implementation of LLM-based agentic systems to reason over biological data and literature. Build evaluation frameworks, benchmarks, and datasets; analyze agent behavior and failure modes; collaborate with immunologists and product teams to turn prototypes into production-grade AI tools for therapeutic discovery.

Lead translational immunology projects and advise computational teams; analyze single-cell RNA-seq data (R/Python); translate analyses into biological insights and actionable recommendations; shape bioinformatic platforms; communicate results to stakeholders and perform literature reviews.

Build and maintain benchmarking and evaluation infrastructure for foundation and multimodal models. Design abstractions/APIs, implement metrics, integrate models and baselines, support model development, debug evaluations, and ensure reproducible, versioned workflows.