Job Title -  Clinical Programmer II

Career Level - C

Introduction to role

Are you passionate about programming and eager to make a difference in clinical research? As a Clinical Programmer I, you will support the programming and validation of data cleaning and review listings for ongoing clinical studies with low to medium scope and complexity. Working under the guidance of an experienced programmer, you will play a crucial role in ensuring the quality and accuracy of clinical trial data.

Accountabilities

Design, develop, implement, and validate programs in SAS/Python/R or dashboard applications to process, analyze, and report clinical trial data.

Work within established frameworks to ensure high-quality deliverables.

Create a catalogue of reports to aid data cleaning activities, including automating manual checks, reconciliation, and program edit checks for TPV data.

Develop tools and repositories to minimize data errors at the source for lab reference ranges collection.

Program reports to identify missing pages and detect errors at the subject level.

Create reports to measure metrics that assess data cleaning status.

Develop visualizations and dashboards to identify discrepancies and trends in EDC and TPV data.

Maintain and update the created catalogue of reports based on ongoing changes to requirements.

Provide support to ensure the availability and performance of developed reports and dashboards for both external and internal users.

Complete documentation associated with programming tasks in compliance with applicable SOPs.

Keep lead programmers updated on the progress of deliveries.

Support the implementation of cross-functional projects as part of the clinical programming roadmap.

Essential Skills/Experience

Bachelor’s degree or equivalent in computer science, life science, or statistics

Good programming skills with prior experience in SAS/Python/SQL

Basic knowledge of Dashboards development

Basic knowledge of clinical development process

Excellent written and verbal communication skills

Ability to work in a global team environment

Good analytical skills and high attention to detail

Desirable Skills/Experience

Knowledge of industry standards

Prior experience in Python/R/SQL/MicroStrategy or dashboard applications

Basic knowledge of data capture, data models, data mining

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace, and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, we are driven by our passion for science and our commitment to making a difference. We fuse data and technology with scientific innovations to achieve breakthroughs in treating, preventing, modifying, and curing some of the world's most complex diseases. Our inclusive environment encourages collaboration across diverse teams, leveraging global knowledge to create impactful solutions. With opportunities for continuous learning and career development, AstraZeneca is where curious minds thrive.

Ready to make a difference? Apply now and join us on this exciting journey!

Date Posted

28-Jan-2025

Closing Date

31-Jan-2025

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.