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Job Description

Join an AI-driven pharmaceuticals startup based in New York, NY (onsite) and help build practical tooling for live clinical trials. In this Software Engineer role at Alldus International Consulting, you will work on AI-powered clinical review platform features, including LLM-enabled workflows and the data pipelines that power them.

The role offers $150,000 to $170,000 per year, equity, and health, vision, and dental insurance.

Responsibilities

  • Develop and deliver new platform features using Python and TypeScript.
  • Improve reliability, scalability, performance, and automated test coverage.
  • Support development of data pipelines to ingest, standardize, and process clinical trial data.
  • Integrate and evaluate LLM-powered workflows within a hybrid architecture that combines AI and heuristics.
  • Collaborate closely with customers to understand how medical reviewers and data managers use the platform.
  • Partner with the CTO and founding team on architecture decisions and engineering best practices.
  • Own clearly defined projects from implementation through deployment.

Requirements

  • 4+ years of experience building and deploying production-grade software.
  • Strong backend engineering skills in Python (or a similar programming language).
  • Ability to work across the full stack, including frontend development with React and TypeScript.
  • Solid understanding of relational databases, SQL, and data modelling.
  • Strong attention to clean, maintainable code, testing, and software quality practices.
  • Experience working with AWS or other major cloud infrastructure platforms.
  • Familiarity with AI tools, LLM-based applications, or intelligent workflow systems.
  • Experience building or supporting ETL pipelines, large-scale data systems, or validation frameworks.
  • Prior experience in fast-paced startup or early-stage environments is a plus.
  • Exposure to healthcare, life sciences, biotech, or clinical trial technology is an advantage.

Technologies

Python, TypeScript, React, LLM, AWS, SQL

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