General Engineering
About The Position
Absentia Labs is building AI-driven mechanistic toxicology and translational safety infrastructure designed to improve how biological risk and organ-level toxicity are understood earlier in drug development. Our platform integrates large-scale biological, chemical, and experimental datasets to support predictive, human-relevant safety assessment and New Approach Methodologies (NAMs). We are looking for highly motivated engineers with broad backgrounds who are excited to solve technically challenging problems in AI, biology, infrastructure, and scientific computing. This is a general application for candidates who may fit current or future engineering needs as the company grows. Areas of interest may include: Machine learning and AI infrastructure Computational biology and bioinformatics Backend and distributed systems Data engineering and data platforms Scientific software engineering Full-stack product engineering Cloud infrastructure and MLOps Applied AI research Visualization and scientific interfaces
Requirements
- 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 Haves
- 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
- Early-stage ownership and opportunity for outsized impact
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
