• Minimum of BSc in Computer Science or an equivalent field, MSc with research experience is a plus.

• Deep understanding of computer and cloud architectures, ability to identify computational bottlenecks in interfaces between CPU/GPU/RAM

• Deep familiarity with at least one cloud provider

• Some Familiarity with ML/DL (tensorflow, pytorch) libraries and ML deployment solutions

• Proficient with git and git workflows

• Excellent programming skills in python (Web programming,C/C++ – a plus)

• Passion for biology / physics – a must!

Responsibilities

• Work side-by-side with chemists, biologists, computer scientists, and software developers to develop new development tools and infrastructure

• Working on ways to scale resource-intensive machine learning computation pipelines

• Design data and software lifecycle policies

• Assist in the collection/curation of biological datasets (sequence, structure, function data) for machine learning projects

• Ensuring that systems are safe and secure against cybersecurity threats