
11 - 50 employees
Founded 2023
🤖 Artificial Intelligence
🧬 Biotechnology
☁️ SaaS
💰 $7M Series unknown on 2025-02
Artificial Intelligence • Biotechnology • SaaS
Prudentia Sciences is an AI-native SaaS platform that accelerates life-sciences dealmaking by automating and augmenting scientific due diligence, asset valuation, and scenario planning for pharma, biotech, and investors. It synthesizes datarooms with public and proprietary data, provides explainable AI insights and expert-in-the-loop reviews to support portfolio strategy, valuation, and deal execution, with enterprise-grade security and scalability.
🕒 February 25
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11 - 50 employees
Founded 2023
🤖 Artificial Intelligence
🧬 Biotechnology
☁️ SaaS
💰 $7M Series unknown on 2025-02
Artificial Intelligence • Biotechnology • SaaS
Prudentia Sciences is an AI-native SaaS platform that accelerates life-sciences dealmaking by automating and augmenting scientific due diligence, asset valuation, and scenario planning for pharma, biotech, and investors. It synthesizes datarooms with public and proprietary data, provides explainable AI insights and expert-in-the-loop reviews to support portfolio strategy, valuation, and deal execution, with enterprise-grade security and scalability.
• Design, build, and scale the web platform that enables deal teams to explore, upload, and analyze drug assets • Develop intuitive, data-rich interfaces using modern frameworks • Implement robust backend services and job orchestration layers • Create dynamic, interactive components that visualize scientific assessments • Design and maintain clean, scalable APIs between the core LLM orchestration layer and the platform • Deploy and monitor platform services on AWS • Work cross-functionally with ML engineers, product leads, and domain experts • Champion engineering best practices
• Bachelor’s, Master’s, or Ph.D. in Computer Science, Software Engineering, or a related technical field • Proven experience building modern web applications end-to-end • Hands-on experience designing and implementing complex, data-driven applications • Strong command of component-based design, state management, and visualization frameworks • Expertise in developing RESTful or GraphQL APIs • Comfort working with both relational and NoSQL databases • Experience deploying full-stack applications in cloud environments using modern DevOps practices • Familiarity with best practices for secure data handling, user authentication, and compliance • Strong communication and collaboration skills
• Competitive salary • Performance bonus • Equity
Apply Now🕒 February 25
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