Healthcare & life sciences AI agent analyst (contract)

🚀 About WRITER

WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.

Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.

📐 About the role

We are seeking a highly motivated and technically skilled healthcare & life sciences AI agent analyst to join our dynamic team in London. As a healthcare & life sciences AI agent analyst, you'll play a crucial role in designing, building, and validating intelligent AI systems that transform medical research, scientific publishing, and life sciences operations. Your unique combination of scientific expertise and generative AI development skills will contribute to the overall success of our organization in creating safe, effective, and scientifically rigorous AI solutions for our Enterprise customers.

This is an hourly contract role, expected for 20-40 hours per week. You will report to the healthcare GTM lead.

🦸🏻‍♀️ What you’ll do

• Develop and implement AI agents for life sciences applications, including medical writing assistants, literature synthesis tools, regulatory document preparation systems, and research protocol generators

• Design and execute comprehensive testing protocols to evaluate AI agent performance, scientific accuracy, and adherence to medical writing standards across diverse research and regulatory scenarios

• Collaborate with our Customer Operations and Life Sciences Industry leaders to translate research workflows, regulatory requirements, and publication standards into functional AI agent specifications

• Guide our technical and engineering teams in implementing best practices for medical AI development, including prompt engineering, retrieval-augmented generation, and scientific validation methodologies

• Eventual potential responsibilities:

• Architect and deploy multi-agent systems that orchestrate complex research workflows, from literature review and protocol design to manuscript preparation and regulatory submission

• Lead research initiatives exploring novel applications of generative AI in medical writing, drug development, and scientific research, publishing findings and contributing to the advancement of the field

• Provide training and mentorship to cross-functional teams on life sciences AI development principles, scientific integrity considerations, and regulatory compliance (ICH-GCP, FDA guidance)

⭐️ What you need

• Doctoral-level education (MBBS, PhD, or equivalent) in medicine, biomedical sciences, or a related clinical discipline

• Minimum of 2 years of hands-on experience in clinical medicine or the life sciences industry

• experience building and testing generative AI systems, including large language models, AI agents, or related technologies

• Excellent problem-solving abilities and capacity to bridge scientific domain knowledge with technical implementation

• Effective communication and interpersonal skills, with the ability to collaborate with cross-functional teams including medical writers, researchers, data scientists, and software engineers

• Proficient in modern business technology platforms (Gsuite, Slack, Zoom)

• Experience with medical writing standards (AMA, ICMJE), regulatory frameworks (ICH-GCP, FDA CFR), or scientific literature databases (PubMed, Embase) is a plus