The Statistical Programmer will develop programs in SAS for data analysis, generate datasets and reports for clinical projects, conduct exploratory data analysis, and ensure quality assurance testing. Responsibilities include database validation, peer reviews, and providing analytical support for Company projects, while also assisting in programming support across various IT and clinical functions.
Responsible for programming in SAS or other data analysis programming tools to process data from various sources and generate data reports to support clinical and pharmaceutical projects as well as medical research or Company analytical projects. The tasks will include creating variables, data extraction and manipulation, program debugging, as well as supporting statistical model implementation. Develop tools and techniques and perform periodic exploratory data analysis, program/process efficiency and quality assurance testing as required.
Project Support
- Provide data analysis support, develop programs using SAS or other data analysis programming tools, to generate and validate datasets, tables, listings and figures for clinical project reports and medical research, as well as working in conjunction with Statistician to program statistical tests as required when not available in SAS.
- Provide analytical programming support for Company projects.
- Regularly perform peer program quality reviews, identify gaps and/or errors in functionality, result quality and/or efficiency.
- Act as subject matter expert, provide advice and guidance to project teams and other stakeholders in the area of statistical programming support, development and testing.
Database Testing Reporting
- Create project database converting database sets, reviewing for variable attributes, testing, and validating database, reviewing, signing off and transferring of data from external sources ensuring data is received, validated and secure.
- Produce regular, accurate and user-friendly output discrepancies reports for stakeholders in accordance with project specifications.
Statistical Programming
- Develop data validation programs, provide data cleaning and validation solutions in accordance with project data requirements and specifications.
- Document, organize and maintain SAS macros program library, ensuring easy access for future use. Review, identify and where appropriate utilize existing SAS macro programs to improve efficiencies throughout the project life cycle.
Programming Support
- Assist other IT functions, administrative functions and/or clinical functions by providing ad hoc programming and reporting support and/or solutions where required and/or as assigned.
Qualifications
- A minimum of a College Diploma/Degree + 4-6 years of related experience + on-going job related training.
- Computer Sciences or Statistics specialty preferred.
Working Conditions
- Home-based.
Top Skills
SAS
Similar Jobs
Biotech • Pharmaceutical
The Principal Statistical Programmer leads programming activities for clinical studies, ensuring timely and high-quality deliverables. Responsibilities include supporting regulatory submissions, maintaining programming documentation, and collaborating with internal and external partners. Proficiency in SAS and knowledge of programming languages like R and Python are essential.
Top Skills:
PythonRSAS
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Software Engineer will collaborate with the Cash App Business team to design, build, test, and deploy features and APIs aimed at empowering nanosellers. Responsibilities include optimizing existing services, maintaining seamless operations, and contributing to a culture of continuous improvement.
Top Skills:
JavaKotlin
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As a Software Engineer for Cash App Business, you will collaborate to design and deploy features, enhance APIs, and ensure system reliability. You'll respond to issues and share insights for growth within a globally distributed team, impacting the entrepreneurial journey of nanosellers.
Top Skills:
JavaKotlin
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
