Position Overview: As a CRA Manager at Excelya, you will lead and oversee a team of Clinical Research Associates to ensure the successful monitoring and management of clinical trials. You will be responsible for maintaining high-quality standards, ensuring compliance with regulatory guidelines, and driving continuous improvement within the team. This role requires strong leadership, excellent communication skills, and a deep understanding of clinical research processes.

Key Responsibilities:

• Manage and supervise a team of CRAs, providing guidance, training, and performance evaluations.
• Ensure clinical trial monitoring activities adhere to ICH-GCP guidelines, standard operating procedures (SOPs), and regulatory requirements.
• Coordinate with project teams to ensure timely study execution and resolve site issues.
• Monitor study progress and data quality through regular communication with sites and internal stakeholders.
• Implement best practices for clinical monitoring and promote a culture of excellence within the team.
• Support recruitment, onboarding, and professional development of CRA team members.
• Participate in strategic planning to optimize clinical operations and resource management.

Requirements

Qualifications and Skills:

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role is an exciting opportunity to contribute to a dynamic, ambitious team in Regulatory. You will play a critical part in driving innovation and making an impact in the clinical research space, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Main Responsibilities:

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role is an exciting opportunity to contribute to a dynamic, ambitious team in Regulatory. You will play a critical part in driving innovation and making an impact in the clinical research space, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Main Responsibilities:

Description

Tiger Analytics is looking for experienced Forward Deployment Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployment Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP). You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Key Responsibilities-

Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers. We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.

About the Role

We are seeking a highly experienced Senior Data Engineer to lead the technical design, implementation, and delivery of an enterprise-grade, AI-ready Data Lakehouse platform. This role is critical in building the foundational data layer for a large-scale digital transformation initiative that will support AI agents, digital workers, and knowledge graph (ontology) systems.

The ideal candidate will have strong software engineering experience with a focus on data pipeline development, data architecture, and scalable distributed systems. You will play a key role in designing and maintaining robust data infrastructure that enables advanced analytics and AI capabilities.

This position also involves technical leadership, mentoring engineering teams in a collaborative co-building model, and ensuring long-term operational ownership.

About the Job

Excelya invites you to join a team defined by Audacity, Care, and Energy. We foster bold innovation and support a collaborative environment where personal and professional growth thrive.

As a Clinical Research Associate at Excelya, you will be integral to ensuring the successful execution of clinical trials by overseeing site activities, adherence to protocols, and regulatory compliance. This role is pivotal in advancing clinical projects that aim to improve patient care.

Main Responsibilities:

• Conduct site initiation, monitoring, and close-out visits to ensure compliance with clinical trial protocols.
• Maintain effective communication with investigators and site staff to support trial progress.
• Review and verify clinical trial data and documentation for accuracy and completeness.
• Monitor patient safety and data integrity throughout the study duration.
• Assist in preparation for audits and inspections, ensuring sites are inspection-ready.
• Report deviations, adverse events, and other study-related issues in a timely manner.
• Collaborate with project managers to provide updates and address challenges encountered at sites.

Requirements

Requirements:

Rejoignez Excelya, où Audace, Bienveillance et Énergie définissent qui nous sommes et notre façon de travailler.

Nous valorisons l'innovation, la collaboration et l'évolution continue dans un environnement stimulant et dynamique.

En tant que Chargé d'Assurance qualité clinique, vous jouerez un rôle clé dans la gestion de la conformité réglementaire, du maintien du système qualité, et de la mise en œuvre des bonnes pratiques afin de garantir la sécurité, l’efficacité et la conformité des produits tout au long de leur cycle de vie, afin d’accompagner les équipes Assurance Qualité Clinique dans un contexte de croissance d’activité.

Missions principales :

• Assurer le rôle de référent(e) Qualité dans le suivi et la conduite des études cliniques
• Détecter, analyser, suivre et participer au traitement des déviations
• Contribuer à l’analyse et à la revue des rapports d’audit
• Piloter le suivi des plans d’actions correctives et préventives (CAPA) issus des audits réalisés chez les CRO et les sites investigateurs
• Participer à la revue, à l’optimisation et à la mise à jour des procédures relatives aux essais cliniques
• Assurer une veille réglementaire et normative afin de garantir la conformité des pratiques
• Prendre part à la préparation et à la réalisation d’audits

Requirements

Formation : Master Scientifique

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

Key Responsibilities

About us

Navarino is an innovative global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore. We develop technology solutions for the shipping industry and are a leader in our sector. Our R&D and engineering departments focus on building and enriching our product portfolio, with specialized software and services that we develop in-house.

We pride ourselves on our people and culture. We encourage innovative thinking, teamwork, and excellence. Our committed people, our values and ways of working create a dynamic, professional, fun, and family-oriented environment which delivers high value and excellence to our customers.

What will you be doing?

We are looking for a hands-on Senior/Lead Data Engineer with strong expertise in Data Quality to help shape and scale our modern data ecosystem and enable data-driven, AI-centric applications across the organization. 

As a member of the broader AI team at Navarino, this role will work closely with engineering and business stakeholders to design and build trusted, scalable, and well-governed data platforms that support analytics, operational reporting, machine learning, and next-generation AI solutions. 

The ideal candidate brings strong data engineering expertise, a passion for data quality and governance, and a commitment to driving best practices across the entire data lifecycle.