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Data Configuration Engineer (R shiny)
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.
As a Data Configuration Designer at ICON, you will design and implement advanced clinical systems that enhance trial design and execution.
What You Will Do:
Your experience will be key in delivering high-quality clinical trial metrics and process improvement outcomes and mentoring colleagues.
Key Accountabilities:
• Configure data extraction and transformations in an individual contributor role across multiple data sources
at the study level as defined by the Data Transfer Agreement and other specifications provided by Data
Engineer
• Partner closely with internal/external stakeholders and data engineers in a collaborative manner
• Ensure accurate delivery of data format and data frequency with quality deliverables per specification
• Participate in the development, maintenance and training rendered by standards and other functions on
transfer specs and best practices used by business
Additional Activities:
• Assists with quality review of above activities performed by a vendor, as needed.
• Adhere to SOPs for computer system validation and all GCP (Good Clinical Practice) regulations.
• Ensure compliance with own Learning Curricula, corporate and/or GxP requirements. Performs other duties
as assigned within timelines
Qualifications:
• Bachelor's degree plus 5 years /Masters with 3 years in computer science, statistics, biostatistics, mathematics, biology or other health related field or equivalent experience that provides the skills and knowledge necessary to perform the job.
• Hands on experience in R Shiny (Dashboard Experience)
Experience with EDC build, Data Management, and EDC extraction configuration
• Knowledge of data flow between clinical data management systems, vendor devices and CDR.
• Knowledge of XMLS, ALS, APIs and MDR preferred.
• Experience with one of these languages: R Shiny, SQL, SAS, R, Python
• Understanding of SDTM
• Strong working knowledge of clinical trial terminology and data transfer specification expected
• Demonstrated ability to lead projects and work groups. Strong project management skills. Proven ability to
resolve problems independently and collaboratively.
• Must be able to work in a fast-paced environment with demonstrated ability to juggle and prioritize
multiple competing tasks and demands.
• Ability to work independently, take initiative and complete tasks to deadlines.
Special Skills/Abilities:
• Strong attention to detail, and organizational skills
• Good time management skills
• Quick learner and comfortable asking questions, learning new technologies and systems
• Good knowledge of office software (Microsoft Office).
• Experience with EDC build or data extraction configuration ETL/ELT experience
• Understanding of AWS/Data bricks concepts
Preferable but not required:
• Experience developing R shiny and Python apps
• Experience with Hadoop
• Experience with Agile development methods
• Experience with Veeva CDB Experience programming in CQL, CDB, working with JSON format and/or C# is
preferred but not required
License/Certifications:
• Preferred to have SAS or R or Python certification
Employment with ICON is contingent upon having the legal right to work in the country where the role is based.
Rewards & Benefits
ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.
Benefits may include:
Benefits may vary depending on role and location.
Visit our careers site to read more about the benefits ICON offers.
Inclusion and Accessibility
ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.
If you require reasonable accommodations during the recruitment process, please let us know or submit a request here.
Are you a current ICON Employee? Please click here to apply
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