
Biotechnology • Artificial Intelligence • SaaS
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.
51 - 200 employees
🧬 Biotechnology
🤖 Artificial Intelligence
☁️ SaaS
November 25

Biotechnology • Artificial Intelligence • SaaS
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.
51 - 200 employees
🧬 Biotechnology
🤖 Artificial Intelligence
☁️ SaaS
• Design and implement LLM-based features into our applications • Work across the AI lifecycle • Explore and evaluate emerging AI tools • Collaborate cross-functionally with product, data, and bioinformatics teams • Ensure reliability and efficiency of AI applications • Evaluate and integrate open-source models • Implement and optimize LLM model serving/tuning pipelines • Provide technical leadership and mentoring for engineers
• 6+ years in software development • Excellent skills in Python • Solid understanding of Java • Familiarity with LLM APIs • Conceptual understanding of vector databases • Working knowledge of agentic execution patterns • Ability to evaluate open-source models • Genuine interest in applying AI technologies to advance bioinformatics • Strong ability to convey complex ideas clearly • Excellent verbal and written communication skills in English
• international team of professionals • fully paid sick leaves • onboarding and domain training for newcomers • flexible work schedule
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