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Catalyst Clinical Research, a trusted name in global clinical solutions, is hiring for the Associate Statistical Programmer role. This is an exciting opportunity for candidates with a strong foundation in statistics, SAS programming, and a passion for clinical data analysis. Join a dynamic team contributing to cutting-edge oncology and multi-therapeutic clinical studies.
This role is ideal for fresh graduates or early-career professionals seeking hands-on experience in statistical programming within the clinical research and biopharma industry.
Key Responsibilities
As an Associate SAS Programmer, your primary responsibilities will include:
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- Developing and validating SAS programs to generate high-quality deliverables for clinical studies.
- Creating Analysis Datasets, Tables, Listings, and Graphs (TLGs).
- Utilizing PROC REPORT, PROC MEANS, PROC FREQ, and PROC TABULATE for customized statistical outputs.
- Supporting CDISC SDTM dataset development and ensuring compliance with data standards.
- Collaborating with statisticians and project teams for ad-hoc data analysis and reporting.
- Understanding and applying Study Protocols, Statistical Analysis Plans (SAPs), and relevant SOPs.
- Demonstrating basic proficiency in SAS Macros and PROC SQL.
- Working with additional tools like R or other statistical programming languages when needed.
Required Qualifications
- Education: M.Sc. in Statistics (or equivalent degree).
- Experience: 0–1 year (Freshers with relevant skills encouraged to apply).
- Skills:
- Strong grasp of clinical trial terminologies.
- Knowledge of CDISC and data standardization practices.
- Effective communication and teamwork skills.
- Attention to detail and data quality.
Benefits of Working with Catalyst Clinical Research
- Opportunity to work on global oncology and clinical projects.
- Exposure to advanced SAS programming and biostatistical methodologies.
- Career development in a fast-growing clinical research organization (CRO).
- Hybrid working flexibility and supportive learning culture.
Application Process
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