Statistical Programmer II – Data Science Systems

Statistical Programmer II – Data Science Systems

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 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.

The Statistical Programmer II – Data Science will be primarily responsible for providing open source programming (R, Python, etc.) support for clinical research across the portfolio. The ideal candidate will have a strong background in data science, statistical analysis, and programming, with a focus on using R to analyze, visualize, and interpret clinical data. This role involves collaborating with cross-functional teams to support clinical trials and research initiatives, ensuring high-quality data analysis and reporting.

They will also assist in the development of reusable programs, interactive dashboards, and visualizations. They will support automation initiatives involving data extraction and management. They will provide support for managing aspects of Alexion computing environments including licenses, software applications, data processes, services, user support, and new technologies within the Quantitative Sciences organization (QS).

They must possess proven skills in the use of R within a Data Science or Statistical Programming environment.

You will be responsible for:

• Develop, test, and maintain R scripts for data analysis, visualization, and reporting in clinical research projects.
• Collaborate with biostatisticians, data managers, and clinical researchers to design and implement data analysis plans for clinical trials.
• Build interactive dashboards and visualizations using R Shiny to effectively communicate data insights to collaborators.
• Assist in the development, standardization, and validation of reusable programs.
• Participate in the development of statistical models and algorithms to support clinical decision-making.
• Support oversight of internal and cloud-based data science computing environments
• Assist in design, development and/or evaluation of technologies and software utilities that may include REST APIs and R packages to extend and enhance computing capabilities.
• Provide programming guidance and mentoring to peers and contract staff.
• Stay updated with the latest developments in open-source programming and data science methodologies relevant to clinical research.

You will need to have:

• BS/MS/MA in Statistics, Biostatistics, Computer Science, Data Science, Mathematics or related area.
• Minimum of 3-5 years of proven experience in R programming, with a strong understanding of data manipulation, data visualization, and statistical analysis.
• Familiarity with clinical trial data and regulatory requirements (e.g., CDISC standards) is preferred.
• Understanding of general data visualization principles and associated tradeoffs
• Excellent interpersonal, collaborative, and communication skills
• Experience working with REST APIs preferred but not required
• Knowledge of other programming languages such as Python and SAS are a plus.

At Alexion, you will find a collaborative culture that encourages innovation and a diverse environment where your contributions are valued. You will have the opportunity to be at the forefront of rare disease research and make a meaningful difference in patients' lives.

Ready to lead and inspire? Apply now and take the first step towards a fulfilling career at Alexion, AstraZeneca Rare Disease.

#LI-Hybrid

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.