Senior Lead Clinical Data Science Programmer

As a Senior Lead Clinical Data Science Programmer  you will be joining the world’s largest & most comprehensive clinical research organisation, powered by healthcare intelligence.

You will have the opportunity to gain experience working with a large biotech company, a pioneer and industry leader in the area of Antibody research, that utilizes their innovative technology platform across multiple therapeutics areas like Oncology, Infectious Disease, Cardiovascular and Metabolic Diseases.

What you will be doing: 

The role involves being a Senior Lead clinical data science programmer in the Clinical Data Management area, focusing on enhancing data review and cleaning processes with innovative reports. It entails creating and implementing study- specific data validation procedures and reports, managing the connection to varied data sources, and ensuring efficient scheduling, monitoring, and maintenance on the Clinical Data platform. The role requires detailing key handling requirements for scalable data management methods, and deriving study-specific monitoring and validati reports based on clinical protocols and amendments. Ultimately, this position aims to advance clinical data management and informatics by improving data integrity, efficiency, and capacity for expansion.

• Practical experience with ETL processes, programming languages such as SQL, Python, R, and familiarity with the AWS cloud infrastructure, including S3, Data Lake.
• With analytics realms experience with various clinical datasets such as EDC and non-crf data
• Combined with strong analytical abilities capable of managing diverse, large, and  complex datasets, which ranges from fundamental research collections to detailed clinical information.
• Have full understanding of clinical trial
• Have a passion for championing and implementing clinical data
• Engage closely with Global Development business units such as BDM, Safety, Precision Medicine, Pharmacometrics, Digital Health to deeply understand data quality, monitoring and validation needs and transform these insights into detailed business requirements for clinical data products.
• Act as the primary point of accountability, responsibility, and expertise in interpreting Clinical Data business needs, meticulously translating and documenting these into comprehensive business specifications at the segment, modality, and company-wide levels.
• Demonstrates a business understanding of study specific data to identify and assist in successful application of consistent data management processes and documentation across assigned programs, e., ensuring consistency across data quality plans.
• Thoroughly document the clinical product development process, including data sources, methodologies, algorithms, and underlying assumptions, to guarantee transparency, reproducibility, and auditability of clinical data products.
• Craft study-specific Data Quality specifications and define key Clinical data metrics to uphold the highest data quality and integrity standards across study lifecycles.
• Prepare study-level reports within the Clinical Data Platform to support stakeholder activities and ensure the effective use of clinical study data.
• Design clear, concise requirements for clinical reports and dashboards, establishing relevant metrics to convey data-driven insights Present findings in a compelling manner, customized for key clinical business functions such as Clinical Data Management, Pharmacometrics, Precision Medicine, etc.
• Work towards preparing Common Data Model mapping & transformations to ensure data is usable in the analytical layer/ and comply with the Governance Committee strategy.
• Have hands-on experience with various clinical datasets such as EDC and non-crf dat combined with strong analytical abilities capable of managing diverse, large, and complex datasets, which ranges from fundamental research collections to detailed clinical information.
• Possess a deep understanding of modern data analytic frameworks and technology, which includes expertise in Big Data structures, Lakehouse architectures, as well as contemporary techniques for data collection and amalgamation.

You are:

• Experience: Minimum of 7 years within clinical data analysis and preferably in the BioPharma industry. 
• Education: Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field
• All employees must read, write and speak fluent English and host country language.

What ICON can offer you:

Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent.

In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family.

Visit our careers website to read more about the benefits of working at ICON: https://careers.iconplc.com/benefits

At ICON, inclusion & belonging are fundamental to our culture and values. We’re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know through the form below.

https://careers.iconplc.com/reasonable-accommodations

Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles.