Create data cleaning reporting solutions with appropriate oversight that support the
quality and timely delivery of data cleaning, study status metric, and monitoring reports
and visualizations required per standard and study specific data review plans.
Create any documentation needed for reports throughout the lifespan of the study and/or
asset for all deliverables.
Develop a library of reusable checks working closely with data engineers and config
specialists.
Collaborate with cross functional teams in creating business rules and automated check
library across TAU.
Complies with applicable SOPs and work practices.
Serves as a technical resource for creating data analytics to help with data validation and
cleaning.
Supports knowledge development of others on reporting tools that support the accuracy
and integrity of study data.
Provide programming expertise for data cleaning to efficiently ensure high quality data.
Enhances available reporting tools/macros/libraries or creates new ones to support the
review of clinical trial data and trial status information for cross-functional use and
provides input on data management reporting standards as required.
Creates and tests listings for data review.
Ensure operational excellence in collaboration with partners and colleagues for
application of standards and develop data cleaning reports in support of the data review
plan, in collaboration with the Clinical Data Management and medical reviewers.
Develop innovative, advanced new concepts that improve processes
Education & Competencies (Technical and Behavioral):
Bachelor's degree 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.
Knowledge of drug development process.
Understanding regulatory requirements and relevant data standards; CDISC and SDTM
knowledge and experience are preferable.
Minimum 2 years' experience in programming listings and/or visualizations with any of
the following Veeva CDB, JReview and Elluminate
Hands-on experience with report development in Elluminate preferred.
Experience with one of these languages: CQL, SQL, SAS, R, Python
Knowledge of clinical database systems (Metadata Rave, Veeva, InForm).
Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.)
Strong working knowledge of clinical trial terminology
Must be able to work in a fast-paced environment.
Ability to work independently, take initiative and complete tasks to deadlines.
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.
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
Benefits
Health insuranceDental insuranceVision insurance
Additional Information
Lead Clinical Data Science Programmer (Elluminate)
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 Lead Clinical Data Science Programmer at ICON, you will design and develop clinical data solutions, ensuring the efficient handling, analysis, and reporting of complex clinical trial data.
Icon · Chennai, India