
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.
🔥 30 minutes ago
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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.
• 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 • - Proficiency in 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 – Poland • - Comprehensive Health Insurance (medical, dental, and online consultations, 100% employee coverage) • - Life Insurance through UNUM • - Cafeteria Plan with flexible monthly credits for wellness, entertainment, and travel • - MultiSport Card, co-financed 50/50 • - Employee Capital Plans (PPK) with 4% employer contribution • - A hub-based hybrid model that blends flexibility with purpose — connecting teams through collaboration, learning, and a vibrant social culture.
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