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
SciBite is developing cutting-edge AI and NLP technologies for solving key challenges for our life science customers. We use the latest large language models combined with our award-winning semantic technology to enable discovery within large volumes of unstructured data.
About the Role
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.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
Skills Required
- Experience in software development, ideally using Python
- Excellent teamwork and problem-solving skills
- BSc, MSc, or PhD in life sciences or a STEM field
- Experience with pytest or unittest and code reviews
- Proficient UNIX and 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
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
