General Engineering

Absentia Labs • Boston, MA

5d • Hybrid

About The Position

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

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

Responsibilities

• Building the future of AI-enabled drug development, predictive biology, and computational safety infrastructure.
• Working at the intersection of AI, biotech, translational medicine, and scalable scientific systems.
• Solving technically challenging problems in AI, biology, infrastructure, and scientific computing.
• Integrating large-scale biological, chemical, and experimental datasets to support predictive, human-relevant safety assessment and New Approach Methodologies (NAMs).

Benefits

• Early-stage ownership and opportunity for outsized impact
• Mission-driven team focused on improving translational safety and reducing unnecessary animal testing

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed