Python Software Engineer

Description

The company builds AI and NLP technology for life science customers, combining large language models with its semantic technology to find information in large volumes of unstructured data.

The DataOps Engineer maintains and extends the data and ontology pipelines behind the company's technology stack, working alongside the Ontology and Data Science teams on vocabularies, data products, and automation that improves efficiency and customer outcomes.

Responsibilities

• Keep critical ontology import pipelines running and improve them
• Help the Ontology Team build and update vocabularies and ontologies
• Support customer projects when needed
• Write software that supports manual curation work
• Build and maintain automation pipelines for the DataOps team
• Work with AWS Batch, Step Functions, and Lambda-based solutions
• Collaborate with the Data Science and Ontology teams
• Help improve DataOps processes and tooling over time

Requirements

• Python software development experience
• Experience with pytest or unittest and taking part in code reviews
• Working knowledge of UNIX and the command line
• Experience with version control, preferably GitHub
• Experience with cloud platforms such as AWS, GCP, or Azure
• Experience running software in production
• Experience with cloud orchestration tools such as Puppet or Terraform
• Experience with Python GUI development
• Experience with ontologies or XML
• Knowledge of compute clusters and workflow management
• Strong teamwork and problem-solving skills

Conditions

Flexible working hours: you choose when in the day you work, so you can fit work around your life and work when you are most productive

The company supports a healthy work and life balance

Equal opportunity and accessibility statements apply to the hiring process

Benefits

• Wellbeing initiatives
• Shared parental leave
• Study assistance
• Sabbaticals
• Country-specific benefits, available through the company's benefits page