Software Engineer
- Cambridge, United Kingdom
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عن الوظيفة
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.
About the Role
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.
Responsibilities
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
Requirements
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
Work in a Way That Works for You
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.
About the Business
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.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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