
1001 - 5000 employés
Fondée en 2012
💼 Conseil
🏥 Santé
📦 Logistique
💰 €35 200 000 Venture Round en 2021-03
Consulting • Healthcare • Logistics
Precision Medicine Group est un groupe mondial d’experts spécialisé dans la médecine de précision, qui combine sciences de laboratoire avancées, informatique translationnelle, affaires réglementaires, insights payeurs et communication marketing. L’entreprise se consacre à lever les défis de développement produit et de mise sur le marché pour des clients des secteurs pharmaceutique et des sciences de la vie. Ses services incluent une R&D orientée par les biomarqueurs, ainsi qu’un accompagnement à la commercialisation pour les organisations des sciences de la vie, du lancement jusqu’à la maturité du produit. Precision Medicine Group opère via deux pôles principaux : Precision for Medicine et Precision AQ, spécialisés respectivement dans les solutions cliniques et commerciales.
🕒 il y a 2 mois
🇬🇧 Royaume-Uni – Télétravail
⏰ Temps Plein
🔴 Expert
👮♀️ Responsable de l'Ingénierie Logicielle
👻 Score fantôme 34%
🗣️🇺🇸🇬🇧 Anglais requis
Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

1001 - 5000 employés
Fondée en 2012
💼 Conseil
🏥 Santé
📦 Logistique
💰 €35 200 000 Venture Round en 2021-03
Consulting • Healthcare • Logistics
Precision Medicine Group est un groupe mondial d’experts spécialisé dans la médecine de précision, qui combine sciences de laboratoire avancées, informatique translationnelle, affaires réglementaires, insights payeurs et communication marketing. L’entreprise se consacre à lever les défis de développement produit et de mise sur le marché pour des clients des secteurs pharmaceutique et des sciences de la vie. Ses services incluent une R&D orientée par les biomarqueurs, ainsi qu’un accompagnement à la commercialisation pour les organisations des sciences de la vie, du lancement jusqu’à la maturité du produit. Precision Medicine Group opère via deux pôles principaux : Precision for Medicine et Precision AQ, spécialisés respectivement dans les solutions cliniques et commerciales.
• Stand up and scale a high-performing engineering team • Own day-to-day engineering operations: sprint delivery, technical quality, capacity planning • Drive technical excellence: architecture decisions, code quality, DevOps/GitOps practices, production reliability • Be the primary escalation point for technical blockers, cross-team dependencies and delivery risks • Partner with the SVP on hiring, team development, vendor relationships and strategic planning • Engineering Team Leadership: Build, lead, and develop a team of data engineers, analytics engineers, and platform engineers. Set expectations, run 1:1s, manage performance, and create an environment where strong engineers want to stay and grow. You are accountable for the team’s output, quality, and morale. • Sprint Delivery and Capacity Management: Own the engineering delivery cadence. Run sprint planning, standups, and retrospectives. Manage capacity across concurrent workstreams (platform build, migrations, feature development). Ensure commitments are realistic and met. • Technical Design and Architecture: Lead technical design reviews and architectural decisions. Ensure solutions are scalable, maintainable, and aligned with our medallion data architecture. You don’t need to design everything yourself, but you need to ensure designs are sound before they go to production. • Engineering Quality and Standards: Establish and enforce engineering practices: such as code review, branching strategy, CI/CD, testing, documentation, incident management. • Partner with SVP on Hiring and Onboarding. • Cross-Functional Coordination: Serve as the engineering interface to Insights Hub, Evidence Solutions, Product Solutions, and IT. Translate business requirements into technical scope. Manage dependencies with Corporate IT, Security, and external vendors. Escalate blockers early and clearly. • Platform Operations and Reliability: Ensure production systems meet SLAs. Establish monitoring, alerting, and incident response processes.
• 5/8+ years in data engineering, analytics engineering, or platform engineering roles • 3+ years leading engineering teams (hiring, performance management, delivery accountability) • Direct experience with modern data stack: cloud data warehouses (Snowflake preferred), transformation frameworks, orchestration tools • Track record of delivering complex data platform initiatives, such as migrations, consolidations, greenfield builds • Experience operating in regulated or compliance-sensitive environments • Be able to review code, debug production issues and make sound architectural judgements.
• Remote work • Competitive salary
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