Associate Clinical Data Analyst / Programmer

CG Oncology

38d•Remote

About The Position

At CG Oncology, clinical data drives critical decisions that shape how new oncology therapies are developed. In this role, you’ll work hands-on with real clinical trial data—building datasets, analyses, and reports that directly support study execution and internal decision-making. This opportunity is ideal for an early-career clinical data professional who wants to grow technical depth in clinical programming while learning how high-quality data enables successful clinical development in a regulated biotech environment. Location: Remote

Requirements

Have 1–2+ years of experience in biotech, pharma, or a CRO
Enjoy working with clinical trial data and care deeply about data quality
Have hands-on experience or training in SAS, SQL, and CDISC standards (SDTM, ADaM)
Are curious, detail-oriented, and eager to learn in a regulated environment
Communicate clearly and collaborate well with cross-functional partners
Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science, Bioinformatics, or a related field (or equivalent experience).

Responsibilities

Build and deliver validated clinical analysis datasets (SDTM, ADaM) from raw data in compliance with CDISC, GxP, and ICH standards.
Develop and maintain SAS and SQL programs to generate datasets, tables, listings, figures, and recurring reports that withstand validation and review.
Support fit-for-purpose clinical analyses used in internal data reviews and decision-making.
Create dashboards and visualizations that help teams track study progress, data quality, and key metrics.
Collaborate cross-functionally with Clinical Operations, Data Management, Biostatistics, and Clinical Science to clarify requirements and deliver accurate, timely outputs.
Grow technical independence by writing clean, maintainable code, troubleshooting issues, and improving processes over time.