Clinical Programmer II India - Bangalore

Job Title: Clinical Programmer II

Career Level - C2

Introduction to role

As a Clinical Programmer II, you will be responsible for supporting activities related to programming, dashboard development, and validation of data cleaning and review listings for ongoing clinical studies with Medium to High Complexity. You will act as a contributor in cross-functional initiatives and work under the general direction of an experienced programmer.

Accountabilities

Responsibilities include (but are not limited to) the design, development, implementation, and validation of programs created in SAS/Python/R/SQL or dashboard applications such as PowerBI/Spotfire/MicroStrategy, to process, analyze, and report clinical trial data for review by clinical study teams.

• Design, develop, implement, and validate PowerBI dashboard applications

• Program independently with efficiency and quality to process, analyze, and report clinical trial data for review by clinical study teams

• Contribute to design, develop, and implement Medium to High Complexity projects that are part of the clinical programming roadmap

• Collaborate with various teams including data management, development operations, clinical, biometrics, and other relevant multi-functional teams supporting clinical trials to deliver end-user reporting needs

• Develop and maintain data visualization tools including requirements gathering, design, data provisioning, building dashboards, leading validation/testing activities, and providing training

• Build and maintain a catalogue of reports to aid data cleaning activities

• Work within established frameworks and ensure high quality is built into own deliverables

• Work independently for well-defined scope of work

• Under guidance, create a catalogue of reports to aid data cleaning activities with moderate to medium scope and complexity, including:

• Automate manual checks

• Automate reconciliation and program edit checks for TPV data to ensure quality

• Create tools and repository to minimize data errors at source for collection of lab reference ranges

• Program Operational reports such as missing pages, Open/Closed Queries/ PI signature, Audit Trail reports and detect errors at Subject level

• Create reports to measure metrics that can help assess data cleaning status

• Create visualizations and dashboards to identify discrepancies in EDC and TPV data

• Maintain created catalogue of reports and perform any updates based on ongoing changes to requirements

• Provide support as required to ensure availability and performance of developed reports and dashboards for both external and internal users

• Responsible for completion of documentation associated with programming tasks (e.g., peer review, report specifications etc.) in compliance with applicable SOPs

• Proactively keep the lead programmers updated on progress of deliveries

• Contribute to implementation of cross-functional projects that are part of the clinical programming roadmap

Essential Skills/Experience

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

• Good programming skills and Prior experience in SAS/Python/R/SQL/Power BI/ SpotFire and other dashboard technologies

• Basic knowledge of clinical development process

• Good Dashboard development skill in PowerBI / Spotfire

• Basic Knowledge on data capture, data models, data mining.

• 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

• Basic knowledge of FDA regulations and GCP/ICH guidelines as related to clinical programming processes

• Prior Experience and understanding of EDC systems like Medidata Rave / Inform / Veeva/ Saama/ Entimice, SAS LSAF etc.

• Knowledge on MicroStrategy

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 follow the science and pioneer new frontiers. Join our dedicated Oncology team with an ambition to eliminate cancer as a cause of death. With multiple indications and high-quality molecules at all stages of our innovative pipeline, we keep pushing forward. We fuse cutting-edge science with the latest technology to achieve breakthroughs. Backed by investment, we aim to deliver six new molecular entities by 2025. Our environment is built on courage, curiosity, and collaboration. We make bold decisions driven by patient outcomes. Empowered to lead at every level, you will be free to ask questions and take smart risks that write the next chapter for our pipeline and Oncology team. Pioneers of collaborative research, we have built an unrivalled scientific community both internally and externally. Working seamlessly and inclusively together, we expedite research in some of the hardest-to-treat cancers. Here you will have the opportunity to build a rewarding and meaningful career as part of a team committed to improving the lives of millions with cancer.

Ready to make a difference? Apply now!

Date Posted

Closing Date

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.