Permanent Part Time Research Nurse with Data Entry Experience in Oncology
Location
Spain
Posted
7 days ago
Salary
0
Seniority
Entry Level
Job Description
Permanent Part Time Research Nurse with Data Entry Experience in Oncology
Syneos Health
Role Description - Fully conversant with the trial protocol, Case Report Forms (CRFs/eCRF), off-site manual (if applicable), supporting documents, procedures, and timelines to enable day to day running of the trial including all relevant SOPs. - Communicate effectively with the Illingworth research nurse project manager (RNPM), Research nurse manager, site staff and the Principal Investigator, to ensure a smooth and efficient flow of information. - Maintain accurate documentation including electronic transfer of data as per Illingworth SOPs throughout the trial, ensuring subject confidentiality, adhering to GCP and data protection requirements. - Attend Site Initiation Visits (SIV) as required and any other necessary meetings, including multi-disciplinary, project management and client-facing meetings. - Coordinate (working with the RN team) and complete subject trial visits on- and off-site. Ensure all trial related procedures and assessments are completed according to the protocol and relevant SOPs and that data is collected accurately. - Administer trial medication as per the protocol, and facilitate the safe storage, transfer, and accountability of trial medication in accordance with Illingworth SOPs. - Process and safely package and dispatch samples, liaising with courier companies and organizations in line with project requirements and supporting documents. - Assist in identifying potentially eligible patients for research projects and assist with patient recruitment into clinical trials providing information and support for those patients for on- and off-site care. - Ensure the accurate reporting of adverse events (AEs) and serious adverse events (SAEs)/suspected unexpected serious adverse reactions (SUSARs) to the site team and relevant RNPM, providing support for any additional follow-up that may be required. - Report any suspected misconduct or fraud to Illingworth and associated companies. Qualifications - Registered nurse with a minimum of 2 years' post qualification experience. - Research and clinical trials experience with GCP certification. - Knowledge of research design and methodology desirable. - Experience and knowledge of clinical nursing skills such as Venepuncture and ECG preferable. - Ability to work autonomously with initiative in a team within a multidisciplinary environment. - Excellent verbal and written communication skills. - Ability to prioritize and manage multiple tasks. - Good working knowledge of computer software including Outlook, Word, Excel, and PowerPoint as a minimum. Company Description Illingworth Research Group provides a range of patient focused clinical services to the pharmaceutical, healthcare, biotechnology and medical device industries. These include mobile research nursing, patient concierge, medical photography and clinical research services. Illingworth are experts with experience across all study phases and in a diverse range of therapeutic areas. Illingworth Research Group is a global organization operating in over 45 countries, bringing clinical research directly into the home of the patient, to improve the experience of patients involved in clinical trials and the quality of their lives.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Data Migration Consultant
Accenture Federal ServicesWe believe in the power of change, harnessed in ways that matter for our country and communities.
• Ensure successful migration of structured and unstructured content—including PDFs, images, and custom repository artifacts—into the target system (xECM or equivalent) • Design, develop, and execute ETL/ELT processes tailored for PeopleSoft data and custom repository content • Identify and resolve migration issues related to PeopleSoft data structures, custom repository formats, volume handling, and xECM ingestion rules • Collaborate with business stakeholders, PeopleSoft administrators, and repository owners to define migration scope, cutover plans, and post‑migration verification • Document migration artifacts, including mappings, runbooks, and exception‑handling procedures • Partner with xECM Functional Consultants to develop integrated end‑to‑end solutions supporting business and governance requirements
Senior IT Asset Data Engineer
OportunOportun is an A.I.-powered digital banking platform that seeks to make financial health effortless for anyone.
• Design, implement, and optimize technical solutions that support IT Asset Management (ITAM), Software Asset Management (SAM), and Configuration Management Database (CMDB) capabilities. • Partner closely with the Service Asset and Configuration Manager to engineer scalable asset data solutions, automate integrations, and improve the accuracy, reliability, and governance of asset and configuration data within ServiceNow. • Lead the implementation of solutions that enhance asset lifecycle management, strengthen platform integrations, and improve operational efficiency across the enterprise. • Deliver reliable asset management data and solutions to support Oportun's mission to build a better financial future through responsible technology management and operational excellence.
Data Migration Architect – AWS, GCP
Naveera Technology LLCEngineering Production-Ready Data, AI & Cloud Platforms - Scalable, Secure, and Built for Enterprise Growth.
• Lead end-to-end migration of enterprise data platforms from AWS to Google Cloud Platform • Design migration strategies for AWS Redshift, Glue, S3, DynamoDB, Data Lakes, Data Warehouses, and ETL pipelines into GCP-native services • Modernize existing AWS data architectures using Google Cloud best practices • Assess existing AWS environments and recommend optimized GCP solutions • Ensure seamless migration with minimal business disruption • Design scalable batch and streaming data pipelines using Google Dataflow (Apache Beam) • Develop event-driven architectures using Google Pub/Sub • Build enterprise analytical solutions using BigQuery, including streaming inserts and performance optimization • Develop and orchestrate workflows using Cloud Composer (Apache Airflow) • Manage enterprise-scale storage using Google Cloud Storage (GCS) • Implement cloud-native data engineering solutions following Google Cloud best practices • Design, develop, and optimize ETL/ELT pipelines using AWS Glue and AWS Glue DataBrew • Work extensively with Amazon Redshift, Amazon S3, and DynamoDB • Develop scalable ETL workflows using Python, PySpark, and SQL • Build and maintain Data Lakehouse architectures supporting enterprise analytics • Optimize data ingestion, transformation, and loading processes across hybrid cloud environments • Design modern Data Lakehouse, Data Warehouse, and Data Lake architectures • Develop dimensional data models, star schemas, and optimized analytical datasets • Build transformation pipelines using DBT (Data Build Tool) • Write and optimize complex SQL queries for high-performance analytics • Ensure data quality, governance, metadata management, and performance optimization • Lead migration of enterprise dashboards from Qlik Sense to Looker • Translate business reporting requirements into scalable semantic models • Optimize reporting performance using BigQuery and LookML best practices • Collaborate with business stakeholders to modernize enterprise reporting platforms • Lead architecture design sessions and cloud migration workshops • Mentor Data Engineers and establish engineering best practices • Conduct architecture, code, and design reviews • Collaborate with business, DevOps, QA, and Analytics teams • Coordinate effectively with onsite and offshore delivery teams • Implement enterprise security standards across AWS and GCP • Define IAM, encryption, auditing, and monitoring strategies • Ensure compliance with governance and regulatory standards • Establish data quality frameworks and operational monitoring • Gather business requirements and define cloud migration roadmaps • Estimate project efforts and prepare technical solution documents • Manage project timelines, risks, dependencies, and stakeholder communications • Present technical architecture and migration strategies to leadership and clients
Enterprise Data Architect
Computer Task Group, IncCTG, a Cegeka company, is at the forefront of digital transformation, providing IT and business solutions that accelerate project momentum and deliver desired value. Over nearly 60 years, we have earned a reputation as a faster and more reliable, results-driven partner. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. CTG leverages the expertise of over 9,000 team members in 19 countries to provide innovative solutions. Together, we operate across the Americas, Europe, and India, working in close cooperation with over 3,000 clients in many of today's highest-growth industries. For more information, visit www.ctg.com . Our culture is a direct result of the people who work at CTG, the values we hold, and the actions we take. In other words, our people define our culture. It's a living, breathing thing that is renewed every day through the ways we engage with each other, our clients, and our communities. Part of our mission is to cultivate a workplace that attracts and develops the best people. CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws. CTG is an Equal Opportunity Employer. CTG will assure equal opportunity and consideration to all applicants and employees in recruitment, selection, placement, training, benefits, compensation, promotion, transfer, and release of individuals without regard to race, creed, religion, color, national origin, sex, sexual orientation, gender identity and gender expression, age, disability, marital or veteran status, citizenship status, or any other discriminatory factors as required by law. CTG is fully committed to promoting employment opportunities for members of protected classes.
Role Description CTG is seeking an experienced Enterprise Data Architect to assess, design, and optimize enterprise data architecture across on-premises and hybrid environments. This role will focus on data modeling, integration, ETL/ELT architecture, metadata management, and data governance while partnering with cross-functional teams to improve enterprise data quality, scalability, and accessibility. Location: Remote or Dallas, TX (preferred) Duration: 2 months Duties: - Design and evaluate enterprise data architecture and integration solutions. - Analyze SQL and NoSQL database schemas and recommend improvements. - Develop conceptual, logical, and physical data models. - Design ETL/ELT processes and enterprise data pipelines. - Create data mapping and transformation specifications. - Assess and improve data quality through profiling and validation. - Document data lineage, source-of-truth, and governance standards. - Support API integrations using REST, SOAP, and event-driven architectures. - Implement metadata management and data cataloging best practices. - Analyze edge application data models and enterprise integration requirements. - Collaborate with business and technical teams to establish enterprise data standards. Qualifications - SQL and NoSQL database schema analysis - Enterprise data architecture (on-premises and hybrid environments) - Conceptual, logical, and physical data modeling - ETL/ELT design and data pipeline development - Data transformation and mapping frameworks - REST, SOAP, and event stream integration - Data profiling and data quality assessment tools - Data lineage and source-of-truth tracking - Data cataloging and metadata management tools - Experience with edge application data models - Strong analytical, communication, and documentation skills Requirements - 8+ years of enterprise data architecture or data engineering experience. - Proven experience designing enterprise data models and integration architectures. - Experience implementing data governance, metadata management, and data quality initiatives. - Experience working within large enterprise environments. - Ability to communicate effectively with technical and business stakeholders. Education - Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline. - Equivalent professional experience will also be considered. - Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. To Apply To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you! Salary The expected base salary for this position ranges from $50.00 to $55.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.
