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General Engineering

Absentia Labs
Boston, USA
Full-time
Entry
Hybrid
Discovered 1 weeks ago
Free

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About the Role

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

What We Look For

  • 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

Location

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

Why Absentia Labs

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

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

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