To succeed in the United Therapeutics interview process, you must prepare to showcase a blend of deep technical capabilities, strong communication skills, and a genuine interest in the company’s biotechnology mission.

Cross-Disciplinary Communication – You will be interviewing with, and eventually working alongside, professionals outside of computer science, including chemical engineers, biologists, and production directors. You must be able to explain complex technical concepts clearly without relying on excessive software jargon. Practice describing your past technical achievements in a way that highlights business and operational value.

System Architecture & Best Practices – Be ready to demonstrate your knowledge of enterprise-grade software design. Brush up on UML diagramming, software requirements documentation, and cloud architecture (specifically Microsoft Azure). The team values engineers who do not just write code but who can also design sustainable, scalable systems that adhere to strict regulatory and compliance standards.

The Microsoft & AI Stack – If you are interviewing for modern software roles within the organization, ensure you are comfortable discussing C#, .NET, Blazor, SQL, and cloud-native development. Additionally, having a solid understanding of how to integrate and manage modern AI APIs, vector search, and LLMs will give you a significant competitive advantage.

The interview process at United Therapeutics typically spans three to four weeks. It is structured to evaluate your technical competence, your ability to present your work, and your cultural fit with both the engineering and scientific teams.

The process generally begins with a standard HR screening call, which focuses on your background, daily tasks in your current role, and your interest in the company. This is followed by a technical screening or a call with the hiring manager, which may involve a structured walkthrough of your resume. In some specialized or research-focused roles, you will be asked to deliver a 30-to-60-minute presentation of your past work or research to a panel of future supervisors and team members, followed by a Q&A session.

The final stage is typically a comprehensive panel interview, which can be conducted via Microsoft Teams or in person at one of their primary facilities (such as Silver Spring, MD, or Durham, NC). If you interview in person, the day often includes a tour of their state-of-the-art facilities, giving you a firsthand look at their manufacturing and R&D operations. The panel interviews are highly cross-functional, meaning you will meet with a mix of software engineers, department heads, and scientific team leaders.

The timeline above outlines the typical progression from your initial application to the final offer. Candidates should note that because the panel stage involves coordinating with busy scientific and clinical directors, scheduling can sometimes take a week or two between rounds. Use the presentation and onsite stages to demonstrate not just your coding skills, but how your software solutions can solve real-world operational and scientific challenges.

Past Work Presentation & Technical Walkthrough

For many engineering positions, United Therapeutics utilizes a presentation-based evaluation. This stage is designed to assess your technical depth, communication clarity, and how you handle live technical scrutiny.

Be ready to go over:

• Project Context – Clearly defining the business or scientific problem you were trying to solve, the scale of the project, and the constraints you faced.
• Architectural Decisions – Explaining why you chose specific technologies, frameworks, or cloud services, and what trade-offs you made.
• Individual Contribution – Being explicit about what you personally designed, wrote, and delivered, rather than just speaking generally about your team's work.
• Advanced concepts (less common) – Integrating specialized data pipelines (like Databricks), deploying custom machine learning models, or optimizing high-performance computing workloads.

Example scenarios:

• "Present a 30-minute slide deck detailing a complex software system you architected, focusing on data flow, security, and scalability."
• "Walk the panel through a UML diagram or system architecture document you created, explaining how you handled potential points of failure."

Cross-Functional Collaboration & Domain Integration

Because software engineers at United Therapeutics build tools for scientists, clinical researchers, and production managers, you must prove that you can operate effectively in a highly interdisciplinary environment.

Be ready to go over:

• Requirement Gathering – Translating vague or non-technical requests from scientific teams into concrete software requirements.
• Regulatory & Compliance Awareness – Understanding how software must be developed, tested, and documented within a regulated biotech or medical environment.
• Empathy and Usability – Designing front-end interfaces (such as Blazor-based dashboards) that are accessible and intuitive for users who are not software engineers.

Example scenarios:

• "Describe a time you had to build a tool for a user group that did not understand software development. How did you ensure the final product met their needs?"
• "How do you handle a situation where a scientific stakeholder requests a feature that conflicts with software engineering best practices or system security?"

System Architecture & Modern Web/AI Stack

This technical evaluation focuses on your ability to build enterprise-grade, secure, and scalable applications, with a strong emphasis on the Microsoft Azure ecosystem and modern AI integrations.

Be ready to go over:

• Cloud Infrastructure – Designing hosting, storage, and security configurations in Microsoft Azure.
• API Design – Creating clean, performant, and secure RESTful APIs to connect front-end interfaces with backend services and AI models.
• AI & LLM Integration – Implementing custom AI applications utilizing modern GPT models, managing model context, and optimizing API costs.
• Advanced concepts (less common) – Implementing Model Context Protocol (MCP), designing complex star schemas for relational databases, or building custom CI/CD pipelines for automated compliance checks.

Example scenarios:

• "How would you design a system that securely processes and indexes large volumes of scientific documents for a custom retrieval-augmented generation (RAG) AI application?"
• "Explain how you would architect a web application to ensure high availability and low latency for users spread across multiple geographic manufacturing sites."