Senior/Staff Software Engineer [Full Stack]

Prudentia Sciences is an AI-powered technology platform transforming how biopharma, biotech, and life sciences investors approach portfolio management. The Senior/Staff Software Engineer will build and lead the core platform, ensuring customers achieve transformative outcomes with the technology as the company scales.

Responsibilities:

• End-to-End Platform Ownership: Design, build, and scale the web platform that enables deal teams to explore, upload, and analyze drug assets from discovery through due diligence and valuation
• Front-End Architecture & UX: Develop intuitive, data-rich interfaces using modern frameworks (React/Next.js preferred) that empower users to manage deal pipelines, upload documents, and interpret LLM-driven insights
• Workflow & Orchestration: Implement robust backend services and job orchestration layers (e.g., FastAPI, Node, or similar) that coordinate document ingestion, model execution, and results delivery across the platform
• Data Visualization & Insight Delivery: Create dynamic, interactive components that visualize scientific assessments, risk analyses and deal insights generated by ML pipelines
• API & Integration Engineering: Design and maintain clean, scalable APIs between the core LLM orchestration layer and the platform. Collaborate closely with ML engineers to expose model outputs as user-ready insights
• Reliability & Scalability: Deploy and monitor platform services on AWS (or equivalent). Ensure high availability, low latency, and secure handling of sensitive scientific and deal data
• Collaboration & Product Thinking: Work cross-functionally with ML engineers, product leads, and domain experts to translate scientific and business logic into actionable workflows that drive decision-making
• Continuous Improvement: Champion engineering best practices — automated testing, CI/CD, observability, and modular architecture — while staying current on advances in AI-driven platform development

Requirements:

• 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 — from intuitive, performant front-ends (React, Next.js, or similar) to robust, scalable back-ends (FastAPI, Node.js, or equivalent)
• Hands-on experience designing and implementing complex, data-driven applications that integrate with APIs, asynchronous job systems, or machine learning backends
• Strong command of component-based design, state management, and visualization frameworks (e.g., React Query, Redux, D3, Plotly) to deliver interactive, insight-driven user experiences
• Expertise in developing RESTful or GraphQL APIs, integrating authentication/authorization, and managing event-driven workflows and background jobs
• Comfort working with both relational and NoSQL databases (e.g., Postgres, MongoDB, DynamoDB), and designing efficient data access layers for large, dynamic datasets
• Experience deploying full-stack applications in cloud environments (AWS, GCP, or Azure) using modern DevOps practices — including Docker, Kubernetes, Terraform, and CI/CD pipelines
• Familiarity with best practices for secure data handling, user authentication, and compliance (especially valuable in healthcare, life sciences, or enterprise environments)
• Strong communication and collaboration skills; ability to work closely with ML engineers, product managers, and scientific domain experts to deliver elegant, high-impact user workflows
• Strong problem-solving skills and an analytical mindset
• Passion for continuous learning, rapid prototyping, and iterating based on user needs
• Autonomous, self-starter attitude with a strong sense of ownership
• Excellent communication skills—able to explain technical ideas clearly to non-technical audiences
• Collaborative team player with a desire to build things that truly matter
• Experience in healthcare, life sciences, or biopharma sectors is nice, but not required