Software Engineer

SciBite is developing cutting-edge AI and NLP technologies to solve key challenges for life science customers. As a Software Engineer, you will work with senior engineers to develop and maintain Python-based data solutions that integrate dynamic sources of scientific information and make them accessible to customers. You will contribute to AI-enabled development practices, collaborate with teams across Elsevier, and help deliver production-ready data products that support discovery from large volumes of unstructured data., * Maintain and develop our critical Python data pipelines

• Support curation teams to update and build new vocabularies and ontologies
• Provide support to deliver and maintain customer-facing solutions as required
• Develop software to assist manual curation efforts
• Develop and maintain automations across the estate
• Learn about the wider Elsevier business and identify potential collaborations

• Experience in software development ideally Python
• Excellent teamwork and problem-solving skils
• BSc/MSc/PhD in life sciences or STEM fields

Beneficial If you have experience with the following:

• Experience working with pytest/unittest and code reviews
• Proficient UNIX/command line skills
• Experience with version control, ideally GitHub
• Experience with cloud environments
• Python GUI development experience
• Experience working with ontologies or XML
• Knowledge of SQL
• Knowledge of compute clusters and workflow management
• Experience working in a production environment

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Are you excited about building cutting-edge AI and NLP solutions that help unlock insights from complex scientific data?

Would you like to work alongside experienced engineers and contribute to the future of AI-enabled product development in a collaborative and innovative environment?

About our Team

Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality., A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.