Job
Description
In this vital role, you will collaborate with cross-functional teams across multiple time zones to fulfill programming requests, clarify requirements, escalate issues, and deliver high-quality results. As an Associate Biostatistical Programmer , you will be responsible for hands-on statistical programming, data manipulation, and report generation to support epidemiologists in generating Real-World Evidence (RWE) from large healthcare data assets. Key Responsibilities: Write, test, and validate programs in Unix and Databricks to produce datasets, tables, and figures for submissions, publications, and internal communications. Support programming activities aligned with departmental standards and timelines. Develop and execute macros and utilities at the protocol, product, or department level. Write, review, and approve analysis dataset specifications and programming plans . Troubleshoot and resolve programming issues; escalate when necessary. Participate in audit activities and respond to audit findings (internal and external). Represent the programming function in multidisciplinary team meetings . Contribute to technical process improvements and programming innovations. Engage with professional networks through conferences , workshops , and internal knowledge sharing . Collaborate globally across teams to implement analyses from Statistical Analysis Plans (SAPs). Required Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Life Sciences, Economics, or a related field with 03 years of experience OR Diploma in a relevant field with 47 years of experience Proficiency in SAS and SQL Experience in a clinical development , life sciences , or healthcare data setting Preferred Qualifications: Programming experience in R and/or Python Familiarity with OMOP common data model Experience working with real-world healthcare data (RWD) such as: Insurance claims databases: MarketScan, Optum Clinformatics, Medicare Electronic Health Records (EHR): Flatiron, Optum EHR, CPRD, MDV, PanTher Exposure to Databricks , Unix , and large data processing systems Core Competencies & Soft Skills: Strong individual contributor with the ability to troubleshoot and solve complex problems Excellent verbal and written communication in English High attention to detail and documentation accuracy Effective team collaboration across global time zones Strong scientific and technical aptitude Willingness to learn and adapt in a fast-paced R&D environment Demonstrated ability in leadership, innovation, and continuous improvement Technical Skills Summary: Required: SAS, SQL Preferred: R, Python Platforms: Unix, Databricks Data Models: OMOP (preferred) Real-World Data Experience: MarketScan, Optum Clinformatics, Flatiron, CPRD, MDV
