Principal Programmer - Data Science Systems

Job description Job Title: Principal Programmer - Data Science Systems Work Location: Manyata Tech Park, Bangalore, India Work Schedule: Three days on-site, two days remote (3/2) Career Level: E - Individual Contributor position. Introduction to role: Are you ready to make a difference in the world of data science? As a Principal Programmer in Data Science Systems, youll be at the forefront of developing ground breaking applications and methodologies within the Quantitative Sciences organization. Your strong technical, organizational, and project management skills will guide internal and external collaborators in implementing software tools and technologies that redefine clinical study development and execution. Collaborate with leaders in Programming, Biostatistics, Epidemiology, and Medical Writing to identify technology needs and streamline practices. Dive into the world of data science technologies to improve clinical analyses and operations. Accountabilities: Develop, maintain, implement, and manage applications using data science software within the QS organization. Coordinate project direction for internal and external projects in tool development and deployment. Lead life cycles of data science services including versioning, training, and documentation. Review and supervise change requests for data science applications. Find opportunities for new data science technologies to improve QS operations. Research alternative solutions to current problems with recommendations for efficient solutions. Implement standard methodologies in software development to improve quality and efficiency. Develop Standard Operating Procedures for regulatory deliverables using data science technologies. Serve as a liaison with Alexion IT for tool development using data science technologies. Represent QS Statistical Programming in cross-functional projects for innovative solutions. Act as a subject matter authority on data science technologies during audits. Provide training to DOQS and contracted staff for applications developed with data science technologies. Lead department data science environment for clinical study data analysis. Coordinate aspects of applications developed with data science technologies including licenses and user accounts. Serve as a statistical lead programmer contributing to project programming efforts. Develop and validate programming specifications for analysis datasets using Alexion standards. Independently develop programs generating analysis datasets based on specifications. Develop programming specifications for protocol-specific safety and efficacy tables. Independently develop programs generating safety and efficacy tables using Alexion specifications. Represent Alexion at conferences to present data science technology trends. Crucial Skills/Experience: BS/MS/MA in Statistics, Biostatistics, Computer Science, Data Science, Mathematics or related area. Advanced degree or equivalent experience with strong analytical skills is preferred. 6+ years data science or statistical programming experience in the pharmaceutical, biotech or CRO Industry. Some proven experience and solid understanding of data science technologies such as R, Python, C++, C#, Java or AI/machine learning. 2+ years project management experience in the biotech or pharmaceutical industry is required. Work experience and validated skills in the use of R or SAS within a Statistical Programming environment to develop and validate analysis datasets, tables, listings, and figures/graphs is required. Confirmed abilities to lead and handle cross-functional projects from concept to completion. Proficiency in the roles and responsibilities of all related subject areas within the QS department, with a focus on Biostatistics, Clinical Data Management, Epidemiology, and Medical Writing. Strong verbal and written communication skills with ability to clearly and effectively present information. Strong knowledge and understanding of software development with familiarity of a general programming language (i.e. C++, Java, Python, etc.), version control (Git