
201 - 500 employees
Founded 2012
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
💰 Private Equity Round - CluePoints on 2020-08
Healthcare • Artificial Intelligence • SaaS
CluePoints is a clinical-trial focused software company that applies advanced statistics, machine learning, and AI to risk-based quality management (RBQM) and data oversight. Their platform offers products such as RBQM, Site Profile & Oversight Tool (SPOT), Medical & Safety Review (MSR), Intelligent Medical Coding, and Intelligent Query Detection (IQD) to detect anomalies, automate coding and query detection, and help sponsors, CROs, and study teams monitor and de-risk clinical studies across phases. CluePoints positions itself as an AI-powered SaaS provider that turns trial data into actionable insights to improve trial quality and regulatory readiness.
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201 - 500 employees
Founded 2012
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
💰 Private Equity Round - CluePoints on 2020-08
Healthcare • Artificial Intelligence • SaaS
CluePoints is a clinical-trial focused software company that applies advanced statistics, machine learning, and AI to risk-based quality management (RBQM) and data oversight. Their platform offers products such as RBQM, Site Profile & Oversight Tool (SPOT), Medical & Safety Review (MSR), Intelligent Medical Coding, and Intelligent Query Detection (IQD) to detect anomalies, automate coding and query detection, and help sponsors, CROs, and study teams monitor and de-risk clinical studies across phases. CluePoints positions itself as an AI-powered SaaS provider that turns trial data into actionable insights to improve trial quality and regulatory readiness.
• AI-Assisted Implementation • - Use AI coding tools to generate and iterate on implementation code • - Rapidlyprototypemultiple technical approaches with AIassistance • - Ensure AI-generated output meetsCluePoints’ engineering standards before submission • Spec-Driven Development • - Work from approved specifications as thesingle sourceof truth • - Collaborate with Product Managers and Tech Leads to refine technical scope • - Implement features according to reviewed and approved specs • - Maintain traceability between requirements, implementation, and tests • Architecture, Integration & Production Ownership • - Handle complex integration points and system-level concerns • - Address edge cases and performance considerations AI may miss • - Contribute to architectural discussions and long-term technical decisions • - Monitor productionbehaviorof AI-accelerated systems and proactively address stability, observability, and performance issues • Quality & Compliance • - Review AI-generated code before raising pull requests • - Increase andmaintaintest coverage through automated testing • - Ensure outputs are secure, auditable, and aligned with regulatory expectations (GxPcontext) • - Participate in code reviews and continuous improvement of engineering standards • Continuous Improvement • - Experiment with new AI tools and workflows to increase productivity • - Contribute to evolvingCluePoints’ AI-First engineering practices
• - 5+ years of professional software engineering experience shipping production systems • - Proficiencyin Python (essesntial) and/or TypeScript (experience with both is ideal) • - Hands-on, daily use of AI coding assistants in real delivery workflows • - Demonstrated ability to critically evaluate AI-generated code:identifyinghallucinations, security risks, architectural drift, and edge cases • - Solid understanding of API design (REST), relational databases (MySQL or equivalent), and at least one NoSQL store • - Strong testing discipline: unit, integration, and end-to-end testing as part of your normal workflow • - Experience with Spec-Driven Development frameworks such asOpenSpec,SpecKit, BMAD, or Superpowers • - Comfort working in a regulated or compliance-sensitive environment, or willingness to learnGxPexpectations quickly • Strong Advantage • - Experience with Angular or a modern frontend framework • - Experience building structured AI-assisted workflows (prompt pipelines, agent orchestration, automated review systems) • - Microsoft Azure cloud experience • - Background in life sciences, healthcare, or other regulated industries • Bonus • - Contributions to open-source AI tooling or developer productivity projects • - Experience with CI/CD pipeline design and DevOps practices • - Familiarity with clinical trial data, CDISC standards, or RBQM concepts
• **🇬🇧 What We Offer – United Kingdom** • - **Private Medical Insurance** through Vitality Health (full hospital cover, 24/7 GP, and therapy sessions) • - **Group Critical Illness Cover** with Aviva • - **Life Insurance** (death-in-service lump sum) • - **Pension Scheme** with **9% employer contribution** via Scottish Widows • - Opportunities for professional development and sponsored certifications • - A hub-based hybrid model that blends flexibility with purpose — connecting teams through collaboration, learning, and a vibrant social culture.
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