ICON

Senior Lead Clinical Data Science Programmer

In short

This role leads the development and management of Data Transfer Specifications (DTS) for clinical trial data, coordinating with external data providers, research partners, and internal stakeholders to ensure correct data structure and timely delivery. It requires knowledge of CDISC standards, clinical protocols for Biomarkers/Imaging/eCOA data, eCRF/EDC builds, and oversight of external data vendors. The company is ICON, a large FSP (Functional Service Provider) organisation working in sponsor-dedicated models for clinical trials. This is a senior/lead-level individual contributor and team-support role in clinical data science.

Senior Lead Clinical Data Science Programmer
At ICON Strategic Solutions, you will work in a sponsor-dedicated model, supported by ICON's global expertise.
As the world's largest FSP organisation, with over 90 sponsor partnerships, we offer stability, career development and a collaborative environment where your work contributes to the development of treatments that benefit patients worldwide.
As a Senior Lead Clinical Data Science Programmer at ICON, you will be instrumental in leading the development and implementation of advanced data science solutions for clinical trials.
What You Will Do
You will manage day-to-day clinical data science activities, supporting your team to deliver quality outcomes.
Key responsibilities include:
•Lead the development of Data Transfer Specifications (DTS) documents to align external data providers and research partners on the required structure for new data. This includes: authoring the DTS, responding to external data providers and internal stakeholder queries to ensure data will be delivered in the correct format and structure.
•Track DTS status with external data providers across different data types and programs and ensure data completion dates are met for study timelines and deliverables.
•Ensuring data structure based on the type(s) of data being used is consistent and compliant with appropriate data templates.
•Ensuring data structure is consistent across each data provider and comply with appropriate data templates.
•Support data reconciliation and data structure inquiry resolution.
•Liaise cross functionally to facilitate the creation of new test codes.
•Participate in the Clinical Study Team as an extended team member.
•Oversee and train in the use of the DTS and other supplemental documents.
•Contribute to improvement initiatives as it relates to external data process.
•Ensure study teams adhere to CDISC standards as it relates to external data.
•Comply with all pertinent regulatory agency requirements (understand clinical protocols and requirements for Biomarkers/Imaging/eCOA data, blinding and analysis expectations).
•Process change requests to update existing DTS.
•Improve templates for existing DTS to ensure data harmonization and downstream analytics.
•Provide external data management oversight to vendors, providing a pathway for functional discussions, partnership level processes & standards, portfolio status, communication, and escalation.
•Review and contribute to eCRF and EDC builds as it relates to external data requirements.
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:
•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.
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.

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