Statistical Programmer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Cytel provides unrivaled biostatistics and operations research knowledge to our customers in the life sciences industries in the form of both software and services. At Cytel, we work hard to create successful careers with significant professional growth for our employees, as a result of which they work hard to make Cytel successful. Cytel is a place where talent, experience and integrity come together to advance the state of clinical development

Working under the direction of Principal Programmer or under Senior Statistical Programmer, the statistical programmer conducts programming activities for a trial, early phase project, indication, or publication activities.

• Ability to work on data migration from legacy datasets to standards such as CDISC or any other client specific
• Read and understand the program specifications document.
• Prepare SAS analysis datasets, tables, listings, and figures as per specifications.
• Create programs to create graphs and tables that are required in CSRs, safety reports, efficacy reports, etc. ensuring on-time quality delivery.
• Validate and transform datasets as per client assignment specifications.
• Validate tables, listings, and figures as per client assignment specifications.
• Co-ordinate with the client and US-team for clarity of specifications, data issues, outliers, reviews, schedules, etc.
• Contribute in the organization’s recruitment process by identifying need and required skill set of resources and conducting interviews to hire appropriate resources.
• Perform all the above tasks using standard operating procedures (SOPs) as defined in Quality Management System or the respective client(s) as applicable

Qualifications and Experience:

• Bachelors or Masters degree in Computer Science, Statistics, or related health science field with 3 plus years of SAS programming experience with clinical trial data.
• CDISC experience is required.
• Well conversant with regulatory requirements and drug development process.
• Good understanding of Clinical trial domain and good SAS programming skills
• Ability to work independently.