Develop and maintain analytical solutions, data products, and computational workflows that support scientific and business decision-making
Design and implement scalable data pipelines, analytical frameworks, and supporting infrastructure for biometrics, clinical pharmacology and pharmacometric analyses
Collaborate with scientists and technical teams to translate complex analytical requirements into robust, reusable solutions
Develop data visualization, reporting, and exploratory analysis tools to support internal and client-facing initiatives
Support the deployment, maintenance, and optimization of analytical solutions within A2-Ai Cloud and related computing environments
Develop reusable analytical frameworks, internal libraries, and software components that improve efficiency and reproducibility
Participate in testing, validation, troubleshooting, and documentation of analytical systems and workflows
Support the integration of AI, machine learning, and advanced analytics capabilities into scientific and operational solutions
Identify opportunities to improve analytical processes, data accessibility, and decision-support capabilities across the organization
Requirements
Bachelor's degree in data science, statistics, computer science, bioinformatics, engineering, or a related field, or equivalent experience developing analytical solutions and data-driven systems
Strong experience with R programming and data analysis packages such as ggplot2, dplyr, tidyr, and related analytical tools
Experience with Python, SQL, cloud-based workflows, or modern data engineering practices is preferred
Familiarity with pharmaceutical, biotech, clinical, or scientific data environments is preferred