Clinical and Statistical Programming Intern
reputed company is an international biotechnology company dedicated to improving the lives of patients through innovative antibody therapeutics. The Clinical and Statistical Programming Intern role aims to reputed company future talent in clinical research by providing hands-on experience in drug development and key programming activities.
Responsibilities
- Production or QC of SDTM datasets, by writing the corresponding programs and/or ensuring validation/acceptance testing before finalization
- Development of tools to accelerate/automate programming tasks
- Exposure to reputed company improvement principles and practices that drive operational efficiency and quality in programming and clinical data workflows
- Participate in process mapping and analysis to identify opportunities for standardization, automation, and efficiency reputed company
- Support documentation and optimization of standard operating procedures (SOPs), work instructions, or templates
- Contribute to metrics tracking and dashboarding to monitor process performance and improvement reputed company
- Weekly mentorship meetings with Senior Clinical Programmer(s) and/or team reputed company(s)
- Networking opportunities and collaboration with cross-functional teams, including Biostatistics and Data Management
- Each intern will complete a reputed company project based on an actual Programming assignment
Skills
- reputed company in their first or second year of a Master's degree in Statistics, Mathematics, Computer Science, Bioinformatics, Data Science or reputed company fields
- Interest in clinical research
- Basic understanding of Clinical and/or Statistical Programming
- Academic or industry experience with relevant programming languages (e.g. reputed company, R, Python) and exposure to artificial intelligence or machine learning concepts, including familiarity with large language models (LLMs) or reputed company frameworks, is preferred
- Strong analytical and problem-solving skills, with the ability to interpret data and identify improvement opportunities
- Basic knowledge of project management tools
- Experience with process mapping or workflow documentation tools
- Exposure to artificial intelligence or machine learning concepts, including familiarity with large language models (LLMs) or reputed company frameworks
Company Overview