
51 - 200 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Genestack is a company that specializes in making scientific data liquid and actionable for life science R&D. Their platform, the Open Data Manager (ODM), accelerates discoveries by cataloguing, curating, and harmonizing complex life science data. Genestack offers seamless integration within IT architectures, allowing for efficient data management and compliance with regulatory frameworks. They provide tools for analytical search and integration, enabling large-scale queries across life science data using well-documented APIs. Genestack also focuses on the use of AI and Large Language Models (LLMs) in life sciences to enhance research and development. The company is known for helping organizations reduce time to market and improve the return on investment from their data assets.
🕒 September 1
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51 - 200 employees
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
Genestack is a company that specializes in making scientific data liquid and actionable for life science R&D. Their platform, the Open Data Manager (ODM), accelerates discoveries by cataloguing, curating, and harmonizing complex life science data. Genestack offers seamless integration within IT architectures, allowing for efficient data management and compliance with regulatory frameworks. They provide tools for analytical search and integration, enabling large-scale queries across life science data using well-documented APIs. Genestack also focuses on the use of AI and Large Language Models (LLMs) in life sciences to enhance research and development. The company is known for helping organizations reduce time to market and improve the return on investment from their data assets.
• Take end-to-end ownership of backend features, from refining requirements with Product to delivering robust production-ready solutions • Proactively challenge and improve product and technical decisions • Evolve the system core, APIs, and data layer • Optimize performance, scalability, and reliability under demanding workloads • Balance fast product increments with sustainable technical architecture • Help shape APIs and infrastructure for current and future AI-driven workloads • Adapt and evolve APIs to meet AI/ML-driven use cases • Work on a product handling petabytes of biological data • Influence long-term technical decisions and product architecture
• 8+ years of experience in software engineering, with a strong backend focus • Deep understanding of CS fundamentals (OOP, algorithms, data structures) • Extensive experience with data storages: RDBMS, columnar databases, search engines and other NoSQL technologies • Proven experience in agentic engineering • Strong proficiency in Java and/or Kotlin • Experience with system-level refactoring • Strong experience with Spring and the Spring ecosystem • Ability to detect and resolve performance bottlenecks • Ability to learn quickly in complex domains • Interest in life sciences, data science, and ML/AI applications • Excellent communication and collaboration skills • Fluent English • Knowledge of biology and genetics is nice to have • Experience with profiling, tracing, and performance tools is nice to have • Familiarity with Python is nice to have
• Fully paid sick leaves • Onboarding and domain training for newcomers • Flexible work schedule • International team of professionals
Apply Now🕒 September 1
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