micro1 is engaging Clinical Publications Authors to participate in a project focused on developing advanced AI-assisted tools for medical and scientific writing. In this role, you will apply your domain expertise to help train next-generation AI systems, shaping how models learn and perform through high-quality, real-world input.
Key responsibilities
- Author and review realistic evaluation tasks based on peer-reviewed journal manuscripts, scientific abstracts, and conference posters to inform AI tool development.
- Apply expert judgment to assess whether AI-generated draft sections align with publisher formatting standards, journal guidelines, and international publication ethics.
- Evaluate scientific accuracy in manuscripts and discussion sections, distinguishing true errors in data interpretation from stylistic preferences.
- Trace publication claims directly to source records, such as Clinical Study Reports and protocols, to verify that all statements are accurately grounded in data.
- Provide clear and structured written rationales for each assessment to enable precise diagnosis and improvement of AI model behavior.
Requirements
- Minimum 5 years of dedicated medical or scientific publication authoring experience within a sponsor, CRO, MedComms agency, or as an independent consultant.
- Direct experience lead-authoring or managing peer-reviewed manuscripts published in reputable biomedical or clinical journals.
- Strong working knowledge of publication guidelines such as ICMJE, GPP, and CONSORT, as well as journal submission workflows.
- Demonstrated capability to interpret complex clinical data and translate them into clear, publication-ready scientific narratives.
- Advanced degree in life sciences, pharmacy, or medicine or equivalent depth of professional authoring experience.
What we offer
- The opportunity to contribute to the development of cutting-edge AI tools for the medical and scientific community.
- A fully remote working environment that values your domain expertise over prior AI experience.
- Collaboration with project leads to refine evaluation criteria and document best practices for scientific publishing workflows.