Statistical SAS Programmer

Adelphi Values is a leading health outcomes consultancy that works with a wide range of pharmaceutical companies. In the Patient-Centered Outcomes (PCO) team, we are global leaders in research involving the selection, development, validation and use of Patient-Reported Outcome questionnaires that are used in clinical trials or clinical practice to evaluate the patient experience and benefit of treatments. We are a dedicated and diverse team that is as passionate about the work we do as we are about our team culture.

We are looking for a SAS Programmer to join our Statistics and Programming team in Boston, MA. SAS Base Certification is essential and Advanced Certification/Clinical Trials Certification is desirable. You will have experience in Quantitative Psychology, Educational Measurement, Biostatistics, Statistics, Epidemiology, Mathematics, or a related field (such as research methods focused social science) and in SAS programming. A graduate degree and experience in SAS analysis of patient-reported outcomes in observational and clinical trial data and experience in oncology studies is desirable. An understanding of the field of outcomes research and interest in psychometric analysis is also desired.

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. You will be responsible for developing flexible SAS programs that analyze patient-reported outcomes data from clinical trials and observational studies in accordance with developed Statistical Analysis Plans (SAP) and regulatory requirements. You will leverage your knowledge and experience in the production of analysis datasets, tables, figures and data listings. Technical skills include but not limited to hands-on experience with PROC SQL, PROC REPORT, ODS OUTPUT, SAS macro language, and SAS/GRAPH. Familiarity with statistical procedures such as PROC GLM, PROC LOGISTIC, PROC LIFETEST, PROC PHREG and PROC MIXED are preferred. You will also QC other programmers’ analytic datasets and outputs. Experience with QC/data exploration procedures such as PROC FREQ, PROC MEANS, and PROC PRINT is essential. You should be comfortable combining, transposing, and merging several datasets that may be organized in a complicated manner (such as diary data). Having experience in analyzing CDISC ADaM and STDM data formats is desirable.