Role Description We are currently seeking a Site Management Associate II with French language to join our diverse and dynamic team. As a Site Management Associate II at ICON, you will play a vital role in supporting the management and monitoring of clinical trial sites by ensuring compliance with study protocols, regulatory requirements, and Good Clinical Practice (GCP) guidelines. You will contribute to the efficiency of clinical research operations by providing advanced support to site management teams and fostering strong relationships with site personnel. - Coordinating monitoring activities at clinical trial sites, ensuring adherence to study protocols and timely resolution of site-related issues. - Assisting in the preparation and review of project related documents in the Investigator Site File and Trial Master File, ensuring all site activities are compliant with GCP and applicable regulations. - Collaborating with cross-functional teams to facilitate effective communication and support for trial sites throughout the study lifecycle. - Tracking site performance metrics, analyzing data, and providing reports to enhance site management efficiency. - Participating in training initiatives and mentoring junior staff to support their development in clinical trial management. Qualifications - Bachelor’s degree in a relevant field such as life sciences, healthcare administration, or clinical research. - Experience in clinical research, site management, or monitoring, with a solid understanding of clinical trial processes and GCP guidelines. - Strong organizational and project management skills, with the ability to handle multiple priorities and deadlines. - Excellent analytical skills and attention to detail, with a focus on maintaining high-quality standards. - Exceptional communication and interpersonal skills, with the ability to build and maintain effective relationships with site personnel and cross-functional teams. - Excellent English and French required. Requirements - Employment with ICON is contingent upon having the legal right to work in the country where the role is based. Benefits - Competitive base salary and performance related incentives. - Health and wellbeing programmes including medical, dental, and vision coverage where applicable. - Retirement and pension plans. - Life assurance and disability coverage. - Employee assistance programmes and wellbeing resources. - Learning and development opportunities through structured training and career pathways. - Benefits may vary depending on role and location. Company Description ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers.

Role Description What We Need: - Multiple Positions Available - Position: Sr. Associate, Site Reliability Engineering - Location: 6555 State Hwy 161, Irving, TX 75039 Job Duties: - Development, deployment, and maintenance of cloud-based infrastructure and data platforms hosted within AWS. - Designing and maintaining scalable, secure, and highly available cloud environments that support our production workloads. - Ensuring the reliability and performance of our Databricks-based data infrastructure, which is central to our business intelligence and data science operations. - Support rapid deployment cycles and maintain consistency across development, staging, and production environments. - Diagnosing complex system failures and implementing preventive measures to minimize downtime. - Managing access controls, encryption, and vulnerability remediation. - Collaborate with software engineers, data scientists, and IT operations teams. - 100% telecommuting allowed from anywhere in the U.S. Qualifications - Master’s degree, or a foreign equivalent, in Computer Science or a related field of study. - Two (2) years of experience in an SRE or DevOps role on any cloud platform, in the job offered or a related occupation. Requirements - Experience must include two (2) years in the following skills: - Amazon Web Services (AWS), including services EC2, S3, Lambda, CloudFormation, and IAM, DMS, RDS Proxy, Event Bus, Athena, State Machines, API Gateway, DynamoDB. - Databricks for managing large-scale data pipelines, real-time analytics, and machine learning workflows. - Infrastructure automation using tools Terraform, Ansible, GitLab and CI/CD pipelines. - Incident management practices and high-availability system design to ensure 24/7 uptime of mission-critical systems. - Security best practices and compliance standards including SOC 2 and ISO 27001. - Linux system administration. - Programming in python, ruby, or bash. - Cloud resources and concepts such as networking, load balancing, DNS, and security. - Identifying performance bottlenecks, identifying anomalous system behavior, and resolving root cause of service issues. - Deploying and maintaining docker applications and container orchestration systems management environments in production using ECS or EKS. - Working with relational databases MySQL and PostgreSQL. - Infrastructure monitoring using Datadog, including setting up synthetic monitoring, oncall alerts and pager alerts. - Participation in Incident Management teams. - Leading and managing technical projects including costing and time management projections. - Identity management within Okta and Azure AD. - Experience must include one (1) year in the following skills: - Salesforce technical support and knowledge. - GoAnywhere MFT. - Tableau. - PHP. Benefits - Offered Wage: $125,000 – $144,600/year - Competitive compensation package as part of Total Rewards. - Additional compensation may include an annual bonus or long-term incentive opportunities. Contact To apply, please send resumes to JobPostings@McKesson.com . Reference #: 002121.

• Serve as an initial technical point of contact for complex escalations • Investigate issues thoroughly in close collaboration with development teams to identify root causes and drive effective solutions • Help design, build, or enhance automated tools that streamline workflows and improve team efficiency • Propose, develop, or implement improvements and tooling that help teams work more effectively • Work in an embedded model alongside development teams, acting as a collaborative partner and bridge between engineering and a range of technical stakeholders • Play a key role during incidents, helping coordinate response efforts and guide teams toward resolution

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: DevOps / SRE / Cloud Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote Role Responsibilities - Use frontier AI coding agents to complete and evaluate complex infrastructure engineering tasks. - Review model-generated implementations involving cloud platforms, Kubernetes, CI/CD systems, and infrastructure automation. - Identify bugs, edge cases, reliability issues, and failure modes in model outputs. - Compare outputs from multiple frontier models to assess strengths and weaknesses. - Apply professional engineering judgment to realistic infrastructure engineering scenarios. Qualifications - Must-Have: 2+ years of professional DevOps, SRE, or Cloud Engineering experience. - Experience with AWS, Azure, GCP, Kubernetes, Terraform, CI/CD pipelines, or observability tooling. - Regular use of AI coding agents like Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools. - Ability to evaluate model-generated infrastructure and reliability engineering solutions. - Preferred: Experience supporting production-scale systems. Requirements - $400 per accepted task. Compensation is tied to accepted work. Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.