Senior Software Engineer (Full Stack)

Prudentia Sciences • Cambridge, MA

5d • Remote

About The Position

Prudentia Sciences is seeking a Senior Software Engineer to build and lead its core platform as the company scales. The platform supports biopharma, biotech, and life sciences investors with portfolio management, due diligence, and value and risk simulation. The role will own the end-to-end web platform used to explore, upload, and analyze drug assets from discovery through due diligence and valuation, and will act as tech lead for the core platform.

The engineer will develop intuitive, data-rich user interfaces and backend services that coordinate document ingestion, model execution, and delivery of results. The role also includes API and ML-platform integration, interactive visualization of scientific assessments and deal insights, and deployment and monitoring of reliable, scalable services in the cloud. The engineer will work closely with ML engineers, product leads, and domain experts to turn scientific and business logic into useful workflows, while championing testing, CI/CD, observability, and modular architecture.

The company is open to fully remote candidates in the U.S., with a strong preference for someone able to work from its Boston, San Francisco, or New York City office twice per week, on Tuesdays and Thursdays.

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, including performant front ends and scalable back ends.
• Experience with front-end frameworks such as React or Next.js and back-end technologies such as FastAPI or 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 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 cloud environments such as AWS, GCP, or Azure 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 iteration 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 healthcare, life sciences, or enterprise security and compliance.

Responsibilities

• Design, build, and scale the web platform for exploring, uploading, and analyzing drug assets from discovery through due diligence and valuation.
• Develop intuitive, data-rich interfaces using modern frameworks such as React or Next.js.
• Implement backend services and job orchestration to coordinate document ingestion, model execution, and results delivery.
• Create dynamic, interactive components to visualize scientific assessments, risk analyses, and deal insights generated by ML pipelines.
• Design and maintain scalable APIs between the core LLM orchestration layer and the platform, collaborating with ML engineers to present model outputs as user-ready insights.
• Deploy and monitor platform services on AWS or an equivalent cloud, ensuring high availability, low latency, and secure handling of sensitive data.
• Collaborate with ML engineers, product leads, and domain experts to translate 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 work on products that 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