SAS Programmer, Patient-Centered Outcomes

We are looking for a SAS Programmer (Senior or Principal depending on experience) to join our Statistics and Programming team. SAS Base Certification is essential and Advanced Certification/ Clinical Trials Certification is desirable. You will have a graduate degree in Mathematics, Computer Science, Biostatistics/Statistics, Educational Measurement, Operational research or equivalent experience and previous paid experience as a SAS programmer. Experience of SAS analysis of COA data (particularly PROs) in observational and clinical trial data, preferably in a pharmaceutical company, healthcare research consultancy, contract research organisation or academic setting is highly desirable. Experience of COAs within oncology studies would also be advantageous. For the senior/principal role knowledge of CDISC, SDTM and ADaM specifications and best industry practices and experience of working in a senior/principal capacity in a SAS programming environment are essential. Experience of training, mentoring and/or line management of more junior programmers is also desirable for the senior/principal role.

As a key member of our global Statistics and Programming team, you will join a vibrant group who partner with a broader team of qualitative researchers/PRO measurement specialists within the Patient-Centered Outcomes practice. You will be responsible for developing flexible SAS programs that analyse COA data from clinical trials and observational studies, in accordance with developed Statistical Analysis Plans (SAP) and best industry practices. You will leverage your knowledge and experience in the production of analysis datasets, tables, figures and data listings. Technical requirements include hands-on experience with PROC SQL, PROC REPORT, ODS OUTPUT, SAS macro language, and SAS/GRAPH . You will use statistical procedures such as PROC GLM, PROC LOGISTIC, PROC LIFETEST, PROC PHREG and PROC MIXED. You will also QC other programmers’ analytic datasets and outputs and employ QC/data exploration procedures such as PROC FREQ, PROC MEANS, PROC PRINT and PROC COMPARE. For the senior/principal roles you will be comfortable combining, transposing and merging several datasets that may be organised in a complicated manner (such as diary data).