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Iambic Therapeutics

AI-driven discovery for oncology and neurology

Principal Medical Writer

Technical WritingUpdated on Nov 7
Full-time$152k - $190k /yrRemote

About the Job

Requirements

  • A bachelor's degree in a life science or health-related field is required; an advanced master's, PhD, or PharmD degree is preferred.
  • At least 10 years of relevant medical writing experience.
  • Demonstrated experience with IND submissions and documents supporting clinical-stage programs.
  • Strong scientific writing skills and proficiency in Microsoft Office, particularly Microsoft Word.
  • Strong understanding of FDA and EMA regulations and ICH guidelines.
  • Experience with electronic document and reference management systems is preferred.
  • Aptitude and interest in learning and adopting new technologies, including AI-enabled tools.

Responsibilities

  • Plan, author, and deliver submission-ready documents, including protocols, IBs, DSURs, CSRs, INDs, health authority responses, and briefing documents.
  • Independently lead cross-departmental document development in collaboration with Clinical, Nonclinical, Medical, Biostatistics, CMC, and Regulatory teams.
  • Represent medical writing on internal cross-functional study teams and ad hoc working groups.
  • Support development of abstracts, posters, and presentations for scientific conferences.
  • Help establish and refine medical writing processes, templates, and standards to ensure consistency, quality, and accuracy across deliverables.
  • Implement and manage efficient document workflows and timelines.
  • Participate in evaluating and integrating AI-enabled tools to improve writing quality and efficiency.

Desired Qualifications

  • An advanced master's, PhD, or PharmD degree.
  • Experience with electronic document and reference management systems.

About the Company

Iambic Therapeutics

AI-driven discovery for oncology and neurology

Iambic Therapeutics uses its AI-driven discovery platform to develop new therapies for cancer and neurological diseases, pursuing both an internal pipeline and partnerships with other pharma companies. Its platform combines advanced AI models with automated experiments to quickly identify and optimize drug candidates and to predict molecular properties with less data and time. The company differentiates itself by blending in-house drug development with strategic collaborations and using proprietary AI-enabled discovery to speed up prediction and validation compared with traditional methods. Its goal is to deliver new treatments to patients by accelerating drug discovery and development through AI and automated experimentation.

Company size
51-200
Company stage
IPO
Headquarters
San Diego, CA
Founded
2019

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