Play a pivotal role in shaping the medical strategy for our oncology portfolio, leading a team of medical professionals while serving as the key scientific partner across the organization and within the oncology community.
Compensation
the minimum salary for this position under the collective agreement is € 2,879.00 gross per month.
Responsibilities
Develop and execute the local medical strategy for the Solid Tumors portfolio
Provide scientific and strategic leadership across key brand and cross-functional initiatives
Act as the medical voice within affiliate leadership discussions and commercial planning processes
Manage and oversee the therapeutic area budget
Lead, coach, and develop Medical Affairs colleagues within Solid Tumors
Play a pivotal role in shaping the medical strategy for our oncology portfolio, leading a team of medical professionals while serving as the key scientific partner across the organization and within the oncology community.
Compensation
the minimum salary for this position under the collective agreement is € 2,879.00 gross per month.
Responsibilities
Develop and execute the local medical strategy for the Solid Tumors portfolio
Provide scientific and strategic leadership across key brand and cross-functional initiatives
Act as the medical voice within affiliate leadership discussions and commercial planning processes
Manage and oversee the therapeutic area budget
Lead, coach, and develop Medical Affairs colleagues within Solid Tumors
Requirements
MD
PharmD
PhD
MSc
Nice to have: Deep understanding of Solid Tumors and the evolving oncology landscape
Participer à la maintenance, à l’évolution et à la sécurisation de solutions assurant le traitement de volumes importants de données et de transactions sur des applications Mainframe.
Compensation
Salaire : 38 K€ - 55 K€ Brut/an
Responsibilities
Analyser les expressions de besoins et les évolutions fonctionnelles
Réaliser les analyses d’impacts sur les applications et traitements existants
Participer à la conception des solutions et rédiger les spécifications fonctionnelles et techniques
Développer et maintenir les applications et traitements en COBOL
Réaliser les tests unitaires, tests d’intégration et tests de non-régression
This role plays a crucial role in ensuring exceptional guest experiences and smooth front office operations. We are seeking an enthusiastic and detail-oriented Front Office Assistant Manager to join our team in Boston, United States. The Assistant Front Office Manager’s is a key member of our team with the primary function to manage the daily operations of the front office. They are a supervisor to all Front Office personnel, assists with guest complaints, and represents Management in the front office.
Compensation
Salary Range: 72,000.00 - 74,000.00 USD Annually
Responsibilities
Manage the daily operations of the front office
Supervise front desk agent with daily duties
Train new employees and help to develop and implement training programs
Verify and adjust payroll for hourly staff
Conduct interviews of potential candidates for GSA positions
Vous souhaitez aller au-delà du DevOps traditionnel et contribuer à la conception de plateformes de services automatisées, fiables et accessibles en self-service ?
Compensation
Salaire : 42 K€ - 58 K€ Brut/an selon expérience et expertise
Responsibilities
Prendre en charge l'exploitation et l'évolution de services managés reposant sur des opérateurs Kubernetes.
Assurer le transfert de connaissances et développer la documentation d'exploitation.
Fiabiliser les services PostgreSQL et Kafka en améliorant leur disponibilité, leur résilience et leur supervision.
Concevoir et intégrer de nouveaux services automatisés au catalogue de la plateforme.
Industrialiser les déploiements et les configurations à travers les pratiques GitOps et Infrastructure as Code.
Requirements
Formation supérieure en informatique, ingénierie logicielle, systèmes ou expérience professionnelle équivalente.
Build the reliable, automated infrastructure that powers our machine learning lifecycle, operationalizing and scaling models from prototype to robust, production-grade systems.
Locations (2)
US, United States
United Kingdom
Compensation
$120,000 – $140,000 annually.
Responsibilities
Operationalize and scale machine learning models
Build reliable, automated and maintainable systems
Owning the deployment of machine learning models to production
Build and maintain scalable, low-latency prediction endpoints using GCP Vertex AI
Designing, implementing, and maintaining CI/CD/CT pipelines for machine learning workflows using Vertex AI Pipelines, Cloud Build, and related GCP tools