Computer Scientist (Agentic & Augmented Authoring Systems)

Location: West Point, Pennsylvania, United States of America. Full-time, six-month co-op; no relocation, no travel, and no visa sponsorship.

Salary range: $39,108–$111,111 per year.

Company

hirify.global develops medicines and conducts research in healthcare, including nonclinical drug safety and regulated scientific operations.

What you will do

• Design and implement agentic workflows and orchestration pipelines that retrieve, synthesize, and format nonclinical safety data.
• Build Python data extraction pipelines for structured, semi-structured, and unstructured scientific sources.
• Evaluate and benchmark LLM outputs for accuracy, formatting consistency, and compliance with nonclinical reporting templates.
• Collaborate with data scientists and scientific subject-matter experts to convert manual authoring steps into automated agent tools and skills.
• Participate in agile sprints, code reviews, and production-grade documentation through GitHub.

Requirements

• Currently pursuing a PhD in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or another highly quantitative, research-focused field.
• Strong Python proficiency with clean, modular, and well-documented code.
• Solid understanding of data structures and proficiency manipulating structured, semi-structured, and unstructured data.
• Hands-on experience with LLM APIs, prompt engineering, agentic tool use, and orchestration frameworks such as LangChain, LlamaIndex, CrewAI, or equivalent.
• Strong analytical and research skills when working with noisy, unstructured, or ambiguous data.
• Exceptional communication skills and the ability to bridge technical AI development with scientific domains.

Nice to have

• Experience with vector databases and document embedding techniques.
• Experience with text processing, OCR, NLP principles, and NLP evaluation methods such as ROUGE and BLEU.
• Experience with AWS or Google Cloud services and Git/GitHub version control.
• Exposure to lightweight developer UIs and analytics or prototype/demo dashboards.
• Familiarity with nonclinical drug safety, report authoring, and summarization.

Culture & Benefits

• Hands-on experience building and deploying production-grade LLM agents and advanced RAG pipelines.
• Exposure to enterprise data engineering and AI development in a secure, highly regulated healthcare environment.
• Mentorship from experienced data scientists and software engineers.
• Collaborative and inclusive team environment.
• Potential future full-time opportunities.