Staff Software Engineer (Full Stack)

Prudentia Sciences • Cambridge, MA

5d • Remote

About The Position

Prudentia Sciences is hiring a Staff Software Engineer to build and lead its core platform as the company scales. The role serves as tech lead for a platform used by biopharma, biotech, and life sciences investors to manage portfolios, conduct due diligence, and simulate asset value and risk. The platform supports deal teams as they explore, upload, and analyze drug assets from discovery through due diligence and valuation.

The engineer will own end-to-end platform development, including intuitive, data-rich interfaces, backend services and job orchestration, interactive visualizations, APIs connecting the platform to LLM and machine-learning systems, and reliable cloud deployment. The role works closely with ML engineers, product leads, and scientific domain experts to translate scientific and business logic into useful workflows. The position also champions engineering practices such as automated testing, CI/CD, observability, and modular architecture.

The position is fully remote within the U.S.; Prudentia Sciences strongly prefers someone able to work in its Boston, San Francisco, or New York City office twice per week, on Tuesday and Thursday.

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 performant front ends using React, Next.js, or similar to scalable back ends using FastAPI, Node.js, or equivalent.
• Hands-on experience designing and implementing complex, data-driven applications integrating APIs, asynchronous job systems, or machine-learning backends.
• Strong command of component-based design, state management, and visualization frameworks such as React Query, Redux, D3, or Plotly.
• Expertise developing RESTful or GraphQL APIs, integrating authentication and authorization, and managing event-driven workflows and background jobs.
• Comfort working with relational and NoSQL databases, such as Postgres, MongoDB, or DynamoDB, and designing efficient data access layers for large, dynamic datasets.
• Experience deploying full-stack applications in AWS, GCP, Azure, or another cloud environment using modern DevOps practices, including Docker, Kubernetes, Terraform, and CI/CD pipelines.
• Familiarity with secure data handling, user authentication, and compliance best practices.
• Strong communication and collaboration skills, including the ability to work with ML engineers, product managers, and scientific domain experts.
• Strong problem-solving skills and an analytical mindset.
• Passion for continuous learning, rapid prototyping, and iterating based on user needs.
• Autonomous, self-starter attitude and a strong sense of ownership.
• Ability to explain technical ideas clearly to non-technical audiences.
• Collaborative team player with a desire to build meaningful products.

Nice To Haves

• Experience with React, Next.js, FastAPI, Node.js, React Query, Redux, D3, Plotly, Postgres, MongoDB, DynamoDB, AWS, GCP, Azure, Docker, Kubernetes, Terraform, or CI/CD pipelines.
• Familiarity with healthcare, life sciences, or enterprise security and compliance environments.

Responsibilities

• Design, build, and scale the web platform used to explore, upload, and analyze drug assets.
• Develop intuitive, data-rich front-end interfaces for deal pipelines, document uploads, and LLM-driven insights.
• Implement backend services and job orchestration for document ingestion, model execution, and results delivery.
• Create dynamic, interactive visualizations of scientific assessments, risk analyses, and deal insights.
• Design and maintain scalable APIs between the platform and the core LLM orchestration layer, collaborating with ML engineers to present model outputs as user-ready insights.
• Deploy and monitor platform services on AWS or an equivalent cloud environment, ensuring high availability, low latency, and secure handling of sensitive data.
• Collaborate with ML engineers, product leads, and domain experts to turn scientific and business logic into actionable workflows.
• Champion automated testing, CI/CD, observability, and modular architecture, and stay current on advances in AI-driven platform development.

Benefits

• Competitive salary and equity.
• Opportunity to directly enable breakthrough therapies to reach patients faster.
• Opportunity to build and lead the platform as a foundational engineering leader.
• Opportunity to shape the product experience during a critical scaling phase.
• Collaborative, mission-driven colleagues.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior