Biostatistical Programmer

Biostatistician cum Statistical Programmer

Responsibilities

• Provide SAS programming support to all clinical projects (Phase 1 to 4). Manage programming CROs providing oversight for programming deliverables. Create programming related SOPs, as necessary. Works in tandem with CRO' s Biostatistics and SAS Programming and Data Management teams on various clinical projects.

• Provide statistical input into and review of statistical deliverables (i.e. analysis plans, table shells, programming and table specifications, data review, tables, listings, figures, and statistical sections for integrated reports).

• Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy, utilizing SAS programming. Applying your SAS programming skills, to create and validate datasets/analysis files, tables, listings, and figures ( TLF s). Generating complex ad-hoc reports for publications.

• Reviews/Develops SAS macros, templates and utilities for data cleaning and reporting. Reviews/ analyses specified in the protocol or the Statistical Analysis Plan (SAP) is implemented while working with the biostatisticians.

• Reviews CRF annotations and data specifications & discuss data structures and participate in data review activities.

• Provide input into statistical programming solutions and/or ensure their efficient implementation. In consultation with the Biostatistician, responsible for reviewing of programming specifications of analysis datasets and pooled datasets.

• Maintain up-to-date knowledge of programming software (e.g. SAS) as well as industry requirements (e.g. CDISC SDTM/ADaM, eCTD, Define.xml), attend functional meetings and trainings.

• Establish successful working relationship on individual studies with external associates according to agreed contract and internal business guidance. Performs quality control on final reports. Ensures the accuracy of statistical programming components of scientific reports and/or publications with high quality.

• Contributes to assigned parts of process improvement, standardization and other non-clinical initiatives

Technical / Functional Skills

Knowledge of applied parametric and non-parametric statistics, Mixed Model. Missing Data analysis, General Linear models - ANOVA, ANCOVA, t-test, etc Non-Parametric methods - Binomial test, Chi-Squared test, Wilcoxon tests; Logistic regression. Strong SAS/R programming Skills in R software. Advanced SAS and other statistical computing software skills in a clinical data environment across multiple therapeutic areas. Good Knowledge of CDISC implementation (SDTMs, ADaMs)

Minimum requirements

• Master degree in statistics with Ideally 4+years of work experience in a programming role preferably clinical trials/ or in pharmaceutical industry or CROs.

• Good SAS experience and proven skills in the use of SAS within a Statistical Programming environment to develop and validate deliverables.