General Engineering

We are always looking for exceptional engineers interested in building the future of AI-enabled drug development, predictive biology, and computational safety infrastructure. If you are excited about working at the intersection of AI, biotech, translational medicine, and scalable scientific systems, we would love to hear from you.

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

• 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

• 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

Hybrid and remote-friendly depending on role. Preference for candidates open to working closely with the founding team in Boston.

1. Work on scientifically meaningful problems with real-world impact

2. Help shape a foundational platform at the intersection of AI and biology

3. Collaborate with pharmaceutical, academic, and regulatory stakeholders

4. Early-stage ownership and opportunity for outsized impact

5. Mission-driven team focused on improving translational safety and reducing unnecessary animal testing