Statistical Programmer | AAVantgarde Bio

Expert SAS programmer with strong macro development and a track record of driving standardization across studies. Proficiency in R and/or Python preferred. Hands-on experience with CDISC SDTM and ADaM, including submission-ready documentation. Experience with ophthalmology or imaging-heavy datasets strongly preferred. Comfortable with reading-centre data flows, multimodal imaging pipelines, and vendor-generated endpoints. Self-driven, proactive, and highly accountable. Natural ability to anticipate analytical needs and strategically plan ahead. Committed to delivering exceptional quality under accelerated timelines. Strong communication and storytelling skills. Thrives in a fast-moving, high-expectation biotech environment.

Develop, validate, and maintain high-quality SAS programs for SDTM, ADaM, TLFs, and exploratory analyses. Build and maintain robust, reusable SAS macro libraries for standardization. Implement standardized processes, templates, and QC frameworks. Own key analysis deliverables from conception to execution. Flex outside standard hours when necessary for time-critical milestones. Independently identify analysis gaps, data risks, and upcoming needs. Deliver SDTM and ADaM datasets meeting global regulatory standards. Develop define.xml, reviewer’s guides, metadata, and traceability documentation. Drive macro- and process-level standardization across programmes. Anticipate regulatory and clinical questions and design programming strategies. Ensure programming frameworks evolve with data complexity. Transform clinical and imaging data into decision-ready insights. Partner with statisticians, clinical scientists, and medical teams. Operate as a strategic contributor, recommending analyses and visualisations. Communicate technical topics clearly to various audiences. Expand automation through SAS macro frameworks and version-controlled workflows. Lead process standardization across the biometrics ecosystem. Introduce tools and workflows to reduce cycle time and increase reliability. Partner on digital biomarker integration and advanced analytical approaches. Continuously scan for bottlenecks, emerging requirements, and resourcing gaps.