Sr. Principal / Distinguished ML Scientist (Cell Biology)

TL;DR

Sr. Principal / Distinguished ML Scientist (Cell Biology): Developing an autonomous-science platform to solve complex problems in medicine by integrating cell-biology research with generative AI and agentic systems. Focus on architecting system-level reasoning that ties together specialist models, grounding them in experimental reality, and closing the loop between AI and wet-lab feedback.

Location: San Francisco, CA, USA

Salary: $360,000 - $570,000 USD

Company

hirify.global is building Scientific Superintelligence™ to autonomously execute the scientific method to accelerate discovery in medicine, materials, and energy.

What you will do

• Co-develop the cell-biology research agenda, from problem formulation to large-scale training and integration.
• Architect the integration between cell-biology research and the central autonomous-science platform.
• Lead the technical choices for foundation models and integration architectures to enable mechanism-grounded scientific inference.
• Build agentic systems that plan and reason over scientific experiments to accelerate discovery.
• Design and steward benchmarks and evaluation methodologies for the cell-biology research programs.
• Translate complex biological questions into ML problems and represent the company at premier scientific venues.

Requirements

• PhD in Computer Science, Machine Learning, Computational Biology, or a related quantitative field.
• Proven track record of impact at premier venues such as ICLR, ICML, NeurIPS, Nature, Science, or Cell.
• Deep expertise in large-scale generative/representation-learning models and integrating multiple specialist models.
• Experience with agentic, active-learning, or closed-loop systems coupled with laboratory infrastructure.
• Working fluency across cell-biology data modalities including single-cell omics, perturbation, spatial profiling, and imaging.
• Expertise in modern ML frameworks such as PyTorch, JAX, or TensorFlow.

Nice to have

• Experience composing specialist biology models into multi-step reasoning systems.
• Experience with Lab-in-the-Loop workflows.
• Experience with large-scale distributed training infrastructure.
• Contributions to open-source ML tools or benchmark datasets for scientific applications.
• Track record of recruiting and mentoring high-performing ML research talent.

Culture & Benefits

• Competitive base compensation with bonus potential and generous early-stage equity.
• Comprehensive US-based and International benefits packages.
• Culture driven by values of truth, trust, curiosity, grit, and velocity.
• Opportunity to work at the frontier of AI and autonomous science in a high-impact startup environment.