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 0–3 years of experience ORDiploma in a relevant field with 4–7 years of experienceProficiency in SAS and SQLExperience in a clinical development , life sciences , or healthcare data settingPreferred Qualifications :
Programming experience in R and / or PythonFamiliarity with OMOP common data modelExperience working with real-world healthcare data (RWD) such as :Insurance claims databases : MarketScan, Optum Clinformatics, MedicareElectronic Health Records (EHR) : Flatiron, Optum EHR, CPRD, MDV, PanTherExposure to Databricks , Unix , and large data processing systemsCore Competencies & Soft Skills :
Strong individual contributor with the ability to troubleshoot and solve complex problemsExcellent verbal and written communication in EnglishHigh attention to detail and documentation accuracyEffective team collaboration across global time zonesStrong scientific and technical aptitudeWillingness to learn and adapt in a fast-paced R&D environmentDemonstrated ability in leadership, innovation, and continuous improvementTechnical Skills Summary :
Required : SAS, SQLPreferred : R, PythonPlatforms : Unix, DatabricksData Models : OMOP (preferred)Real-World Data Experience : MarketScan, Optum Clinformatics, Flatiron, CPRD, MDVSkills Required
Sas, statistical programming, Sql Programming, System Engineering, Oracle Pl, Python