AI/ML Engineer: Controllable Biology for Therapeutics

GlaxoSmithKline; Boston (MA); Hybrid; USD 124,000 - 227,000; Full time

Benefits offered by this job

Annual bonus

Health insurance

Retirement benefits

Paid holidays

Job summary

GlaxoSmithKline is seeking an AI/ML Engineer to advance controllable biology projects. You will design, implement, and evaluate machine learning models using large-scale biological data, including sequences and networks, to help identify novel therapeutic strategies.

The role involves collaborating with biology, data science, and software teams, delivering end-to-end ML solutions from data sourcing to deployment, and contributing to a culture of ownership and continuous learning.

Qualifications

• Master's degree in CS, mathematics, or natural sciences.
• Experience with ML and software engineering best practices.
• Proficiency with deep learning models and PyTorch.

Responsibilities

• Develop AI/ML models for controllable biology.
• Source data, train models, benchmark performance.
• Collaborate with cross-functional teams on drug discovery.

Skills

Machine learning knowledge

Software engineering

Python and PyTorch

Biological sequence data

Deep learning architectures

Genomics data familiarity

Education

Master's degree in related field

Tools

PyTorch framework

Python programming

Job description

GlaxoSmithKline is seeking an AI/ML Engineer to advance controllable biology projects. You will design, implement, and evaluate machine learning models using large-scale biological data, including sequences and networks, to help identify novel therapeutic strategies.

The role involves collaborating with biology, data science, and software teams, delivering end-to-end ML solutions from data sourcing to deployment, and contributing to a culture of ownership and continuous learning.