Why This Job is Featured on The SaaS Jobs
This contract analyst role sits at the intersection of vertical SaaS and the current shift toward agentic workflows in enterprise software. In a platform company focused on deploying AI agents for large organisations, life sciences becomes a high stakes use case where accuracy, traceability, and domain grounding matter as much as model capability. That makes the work relevant to a broader SaaS trend: moving from generic genAI features to operational systems that can be tested and trusted.
For a SaaS career, the value is in building fluency across the full loop of applied AI delivery, translating regulated workflows into specifications, validating outputs against standards, and partnering with go to market and engineering stakeholders. Experience with testing protocols, retrieval augmented approaches, and scientific validation is increasingly transferable across SaaS teams building AI assisted products in compliance heavy industries.
This role tends to suit professionals who enjoy structured evaluation as much as prototyping, and who can switch between clinical or scientific detail and product oriented problem solving. It is a strong match for someone comfortable working through cross functional ambiguity and documenting decisions, particularly in remote collaboration settings where clarity and repeatability are essential.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
🚀 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
