Junior Statistical Programmer Analyst -Permanent Role

Summary

ClinChoice is a global full-service contract research organization supporting pharmaceutical, biotechnology, medical device, and consumer health companies. The Junior Statistical Programmer Analyst will support clinical trial programming activities, including developing and validating datasets, tables, figures, listings, and electronic submission deliverables using SAS and/or R. The role also involves quality checks, CDISC-compliant programming, documentation, and collaboration with cross-functional clinical development teams.

Responsibilities

• Support the development and validation of datasets, tables, figures, and listings for clinical trials
• Perform programming activities using SAS and/or R under appropriate guidance and review
• Assist with processing and integrating data from internal and external sources
• Support ad hoc analyses and programming activities for clinical development and other Research & Development functions
• Assist with the development, review, and maintenance of programming specifications and documentation
• Contribute to the development and review of SDTM and ADaM datasets and specifications
• Support the preparation and review of Define-XML and other clinical trial documentation
• Work closely with Senior Statistical Programmers, Biostatisticians, Data Managers, and other cross-functional team members
• Support the programming and validation of CDISC-compliant datasets and deliverables for regulatory submissions
• Assist with the preparation of supporting documentation for electronic submissions
• Ensure programming outputs follow applicable standards, specifications, and quality requirements
• Perform programming validation and quality checks according to established procedures
• Identify, document, and resolve programming issues in collaboration with senior team members
• Ensure assigned deliverables are completed accurately and within agreed timelines
• Follow departmental programming standards, working instructions, and applicable industry guidelines
• Develop knowledge of CDISC standards, including SDTM and ADaM
• Assist in maintaining and improving programming macros, utilities, and reusable functions

Skills

• Bachelor's or Master's degree in **Computer Science, Statistics, Mathematics, Engineering, Life Sciences, or a related discipline**
• **0–2 years of experience** in statistical programming, preferably within the pharmaceutical, biotechnology, CRO, or clinical research industry
• Basic to intermediate knowledge of **SAS** and/or **R**
• Basic understanding of clinical trial data and the **drug development process**
• Strong attention to detail and commitment to data quality
• Ability to work effectively in a team environment and learn from senior team members
• Ability to manage assigned tasks and meet project timelines
• Familiarity with SAS programming and SAS Macro language is preferred
• Knowledge or exposure to **CDISC standards, SDTM, and ADaM** is preferred
• Familiarity with clinical trial datasets, tables, figures, and listings is an advantage

Qualifications

Must Haves

• Bachelor's or Master's degree in **Computer Science, Statistics, Mathematics, Engineering, Life Sciences, or a related discipline**
• **0–2 years of experience** in statistical programming, preferably within the pharmaceutical, biotechnology, CRO, or clinical research industry
• Basic to intermediate knowledge of **SAS** and/or **R**
• Basic understanding of clinical trial data and the **drug development process**
• Strong attention to detail and commitment to data quality
• Ability to work effectively in a team environment and learn from senior team members
• Ability to manage assigned tasks and meet project timelines

Nice to Haves

• Familiarity with SAS programming and SAS Macro language is preferred
• Knowledge or exposure to **CDISC standards, SDTM, and ADaM** is preferred
• Familiarity with clinical trial datasets, tables, figures, and listings is an advantage

Benefits

• Professional growth opportunities
• Continuous training to maintain and develop employee competence and expertise
• Remote work arrangement