Member of the Technical Staff

The role

Engineers will build AI-driven mechanistic toxicology and translational safety infrastructure. The work involves integrating biological, chemical, and experimental datasets to support predictive safety assessment.

What you will do

• Solve technically challenging problems in AI, biology, infrastructure, and scientific computing
• Work in areas including machine learning, computational biology, backend systems, data engineering, scientific software, full-stack product, cloud infrastructure, applied AI research, or visualization

Required qualifications

• Strong technical fundamentals and problem-solving ability
• Interest in mission-driven work within biotechnology and healthcare
• Ability to operate in fast-moving, ambiguous startup environments
• Curiosity, ownership, and willingness to learn across disciplines
• Experience building scalable systems, models, or products
• Strong communication and collaboration skills

Nice to have

• Experience in biotech, healthcare, life sciences, or scientific computing
• Familiarity with machine learning workflows or biological datasets
• Startup or early-stage company experience
• Interest in translational medicine, toxicology, or computational drug development

Benefits

• Work on scientifically meaningful problems with real-world impact
• Help shape a foundational platform at the intersection of AI and biology
• Collaborate with pharmaceutical, academic, and regulatory stakeholders
• Early-stage ownership and opportunity for outsized impact

About the company

Absentia Labs is building AI-driven mechanistic toxicology and translational safety infrastructure. The platform integrates large-scale biological, chemical, and experimental datasets.