Programmer

🕒 August 11

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

👻 Ghost score 37%

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Logo of ICON plc

ICON plc

10,000+ employees

Founded 1990

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

ICON plc is a global provider of clinical, consulting, and commercial services across various sectors in the healthcare and pharmaceutical industries. They offer a wide range of clinical solutions, including decentralised clinical trials, cardiac safety solutions, early clinical laboratories, and medical imaging. ICON also provides technology solutions that support drug development from early phases to post-marketing. Their therapeutic expertise spans cardiovascular, oncology, internal medicine, and more, with a strong focus on transformative therapies like cell and gene therapies and biosimilars. ICON is recognized as a leading Contract Research Organisation (CRO), regularly providing thought leadership and contributing to industry publications and events. Their services are tailored to optimize clinical trials, offer regulatory intelligence, and deliver real-world evidence through robust data analysis and patient-centric solutions.

📋 Description

• Create data cleaning reporting solutions with appropriate oversight to support quality and timely delivery of data cleaning, study status metric, monitoring reports and visualizations • Create 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 configuration specialists • Collaborate with cross-functional teams in creating business rules and automated check libraries across TAU • Comply with applicable SOPs and work practices • Serve as a technical resource for creating data analytics to help with data validation and cleaning • Support knowledge development of others on reporting tools that support study data accuracy and integrity • Provide programming expertise for data cleaning to ensure high-quality data • Enhance reporting tools, macros, and libraries or create new ones to support review of clinical trial data and trial status information • Provide input on data management reporting standards as required • Create and test listings for data review • Ensure operational excellence with partners and colleagues, apply standards, and develop data cleaning reports in support of data review plans • Collaborate with Clinical Data Management and medical reviewers • Develop innovative, advanced concepts that improve processes

🎯 Requirements

• 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 3-5 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 • 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

🏖️ 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

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