We are looking for a Senior Lead Software Engineer to join our Data Science and AI team in Barcelona. This is a fantastic opportunity to work on cutting-edge AI solutions within the Life Sciences and Healthcare space, combining innovation with real-world impact.
You’ll be part of a small, highly skilled team, reporting directly to the Vice President of AI – Content, with strong expertise across both traditional machine learning and Generative AI/NLP. We’re particularly interested in speaking with candidates who bring experience in Python, cloud environments (ideally AWS), and tools such as LangChain.
About You – experience, education, skills, and accomplishments
Education: bachelor’s degree in computer science, mathematics, electrical, telecom or mechanical engineering, or related degree or relevant, equivalent work experience
At least 7 years of experience in Software Development, focused in Python programming, with at least 2 years of experience in AI and GenAI.
Experience building and deploying applications in cloud environments (AWS preferred); familiarity with JavaScript is a plus
At least 3 years of experience in RAG and Knowledge Graphs
At least 7 years applying ML techniques (regression, classification, data analysis), including work on NLP use cases such as text extraction and summarization.
It would be great if you also have . . .
Experience translating stakeholder requirements into clearly defined technical tasks (e.g., breaking down features into deliverables, user stories, or backlog items)
Demonstrated experience applying prompt engineering techniques in real-world or production use cases (e.g., building, testing, or optimizing prompts for GenAI/NLP applications)
Master’s degree or PhD in Computer Science, AI, Machine Learning, or a related field (or equivalent industry experience) is a plus
What will you be doing in this role?
• Develop data-oriented code in Python within an AWS Cloud Environment
• Construction, Automation, Debugging, Improvement and Maintenance of Data Pipelines
• NLP work for extraction and summarization
• Develop Machine Learning models as final products and/or in support of Generative AI products
About the Team
This is a lean team consisting of highly skilled Data Scientists and Software Developers reporting directly to the Vice President of AI - Content.
Hours of Work
This is a full-time, permanent position, primarily working core business hours in CET, with flexibility to collaborate with teams as needed.
This is a hybrid position working in the office up to 3 days a week.
What we can offer you:
30 working days of vacation
Volunteering community offering paid hours of volunteering time
Private Health and Life & Disability insurances.
Tax-free benefits (Ticket Restaurant scheme, kindergarten, and transport cards)
Agile work environment with a team of talented colleagues
On-site language classes (Catalan, Spanish and English)
Digital workplace with possibility to work in a central office location in Barcelona with global and dynamic employees.
At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.
Skills Required
- Bachelor's degree in computer science, mathematics, electrical, telecom or mechanical engineering, or related degree
- At least 7 years of experience in Software Development, focused on Python programming
- At least 2 years of experience in AI and GenAI
- Experience building and deploying applications in cloud environments (AWS preferred)
- At least 3 years of experience in RAG and Knowledge Graphs
- At least 7 years applying ML techniques including NLP use cases
- Experience translating stakeholder requirements into technical tasks
- Demonstrated experience applying prompt engineering techniques
- Master's degree or PhD in Computer Science, AI, or Machine Learning
Clarivate Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Clarivate Analytics and has not been reviewed or approved by Clarivate Analytics.
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Strong & Reliable Incentives — Incentives in sales and select product/tech roles provide meaningful upside for high performers, with commission structures boosting total compensation when targets are exceeded. Role-linked variable pay is a clear strength in revenue-driving positions.
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Leave & Time Off Breadth — PTO is ample in the U.S., with paid parental leave available, making time-off policies a notable part of the package. Generous vacation and holiday allowances stand out as positives.
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Wellbeing & Lifestyle Benefits — Hybrid and remote options are common and paired with a formal wellbeing framework and EAP, supporting work–life balance. Core medical, dental, and vision coverage is broadly available in the U.S., reinforcing everyday wellbeing support.
Clarivate Analytics Insights
What We Do
Clarivate™ is a global leader in providing solutions to accelerate the lifecycle of innovation. Our bold mission is to help customers solve some of the world’s most complex problems by providing actionable information and insights that reduce the time from new ideas to life-changing inventions in the areas of science and intellectual property. We help customers discover, protect and commercialize their inventions using our trusted subscription and technology-based solutions coupled with deep domain expertise. For more information, please visit clarivate.com.
