We use AI to create key documents, like FDA submissions, for life sciences companies.

About Artos

At Artos, we build tools that help biopharma companies create and manage their R&D documentation in a fraction of the time. If you’re looking to join a team whose mission is to fundamentally change the way that drug development gets done, we’d love to talk to you.

We’re growing very fast right now, and we at Artos are looking for a hyper-talented, startup-minded medical writer who can help us accelerate the development of a product that supports companies from innovative biotech startups to some of the largest pharmaceutical companies in the world in their mission to deliver life-saving treatments to patients faster than ever before.

As a core member of Artos’s product team, you will play a critical role in developing the Artos platform, embedding AI systems with domain expertise, evaluating content quality, and interfacing with technical teams to improve the product.

The Role

At Artos, you will not be in a traditional medical writing position. In fact, we encourage people to apply who don’t necessarily have this background. The most important thing to us is that you learn incredibly quickly—because that’s what this role entails (be ready to back this up in our hands-on assessment).

We are on a mission to change the way that documentation is created and managed in drug development companies. You will primarily be responsible for helping design the systems that write documents that these companies produce. While deep regulatory writing knowledge is essential, your primary focus will be on deconstructing how documents are authored, reviewed, and quality-controlled—then working with engineers and product teams to build those heuristics into our AI platform.

Your objective is to help the system generalize the principles behind medical writing: which content goes where, how it should be structured, and why certain patterns are preferred. You will evaluate AI-generated content, identify inconsistencies or edge cases, and guide product decisions based on domain insight.

You’ll work across the full landscape of R&D documentation—not just the Common Technical Document (CTD), but also supporting content like internal summaries, briefing packages, templates, and sponsor-facing outputs. We don’t expect you to know how to write all of these documents, but we do expect that you will learn how to do so—and how to communicate those learnings to a deeply technical engineering audience—very quickly.

Qualifications

• Background in software engineering, computer science, or a related technical discipline (e.g., prior experience as an engineer, developer, or technical solutions architect)
• 3+ years of medical writing experience in regulatory affairs
• Direct experience drafting or reviewing a wide range of CTD documents (e.g., protocols, CSRs, IBs, Module 2 summaries)
• Understanding of the structure, purpose, and regulatory expectations for each major CTD document type
• Experience reviewing documents for compliance with FDA, EMA, and ICH guidelines
• Experience mentoring, teaching, and reviewing the work of other medical writers, with a focus on upskilling or enforcing writing standards
• Strong writing, editing, and documentation skills
• Experience working cross-functionally with regulatory teams and subject matter experts

Requirements

• Ability to analyze new document types and quickly learn relevant structures and content expectations
• Ability to extract and document rules, patterns, and logic used in regulatory writing
• Ability to review structured content or interpret output from AI-powered systems
• Comfort communicating feedback to technical stakeholders (e.g., engineers, product teams)
• Familiarity with structured content formats such as XML or JSON is preferred
• Experience working in or with life sciences software tools is a plus
• Ability to work independently and manage multiple writing and review tasks in parallel

Other Information

• Very comfortable working in a fast-paced and intense startup environment
• Willing to work in-person in our office in Mission Bay 4-5 days/week
• Likes matcha KitKats, believes every LLM prompt is just Schrodinger’s cat waiting to be observed, and knows too many random facts about the Mongol postal system

LLM-based workflows and agents designed specifically for drug development.