Remote Senior AI/ML Engineer for Life Sciences Platform

abbott; United States; Remote; USD 78,000 - 156,000; Full time

Job summary

Abbott is seeking a Sr. AI/ML Engineer to guide architecture, roadmaps, and hands‑on development for a life sciences AI platform. The role spans technical leadership across Bioinformatics and Data Science, with collaboration to Clinical Affairs and Medical Operations in cancer diagnostics.

You will help shape AI strategy, evaluate new tech, and build reusable, validated solutions. You will design platform services, integrate agent frameworks, and mentor junior engineers while ensuring governance

Qualifications

• Advanced degree with quantitative focus; 3+ years in AI/ML fields.
• Experience with neural networks, deep learning, reinforcement learning.
• Experience with NLP, image processing or CV is preferred.
• Experience with generative AI and LLMs; transformer concepts.

Responsibilities

• Guide architecture, roadmap, and evolution of the life sciences generative AI platform.
• Design shared platform services and reusable components.
• Integrate agent frameworks with enterprise data sources and systems.
• Translate business needs into scalable AI solutions.
• Drive platform adoption with evaluation criteria for quality and value.
• Apply Agile practices to mature concepts into reusable solutions.
• Mentor junior teammates and lead in cross-functional meetings.
• Communicate complex information to technical and non-technical stakeholders.
• Support Quality Management System policies and regular attendance.
• Travel up to 5% and work across multiple locations as needed.

Skills

Python programming

AI/ML algorithms

NLP/Computer vision basics

Transformer architectures

RAG and retrieval concepts

Agile methods

Communication to both technical and A/

Education

PhD in Statistics/Computational Biology/CS

Master's in Statistics/Computational Biology/CS with 4+ years experience

Tools

TensorFlow

PyTorch

SKLearn

Open-source AI models

Job description

Abbott is seeking a Sr. AI/ML Engineer to guide architecture, roadmaps, and hands‑on development for a life sciences AI platform. The role spans technical leadership across Bioinformatics and Data Science, with collaboration to Clinical Affairs and Medical Operations in cancer diagnostics.

You will help shape AI strategy, evaluate new tech, and build reusable, validated solutions. You will design platform services, integrate agent frameworks, and mentor junior engineers while ensuring governance