Statistical SAS Programmer – Patient-Centered Outcomes
What we are looking for
Adelphi Values is a leading health outcomes consultancy that works with a wide range of pharmaceutical and medical device companies. In the Patient-Centered Outcomes practice we are global leaders in the selection, development, psychometric evaluation and use of Clinical Outcome Assessments (COA) including Patient-Reported Outcomes, Clinician-Reported Outcomes (ClinRO), Observer-Reported Outcomes (ObsRO) and Performance-Reported Outcomes (PerfO). We are a dedicated team of researchers who want to make meaningful difference and are proud of our high standards of scientific rigor and client service. We are a small team, where there is plenty of opportunity to influence decision making and develop leadership skills and we are committed to personal development, growing the individual through training and rewarding high performance. We are equally proud of our friendly, supportive culture and our approach to people and their working environment as we are of our reputation and high quality research which puts the patient at the centre of drug development.
We are looking to expand the Statistical and Programming Team with a statistical SAS Programmer with three years’ experience upwards. The clinical data we analyse is diverse and sometimes complex compared to much clinical trials data. You will have a logical mind to unravel the detail in the data and enjoy the challenge of what at times requires intricate data manipulation. Programmers work closely with their statistics and psychometric colleagues in a small, tightly knitted team. SAS Base Certification is essential and Advanced Certification/ Clinical Trials Certification is desirable or equivalent experience. Experience of statistical analysis in SAS is essential, and 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. Some knowledge of R would be beneficial, as would further education involving statistics. You will have a graduate degree in Mathematics, Computer Science, Biostatistics/Statistics, Educational Measurement or equivalent experience in statistical SAS programming.
How you fit in
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 and figures. 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.
What we offer
We believe in rewarding high performance – so our benefits package includes a competitive salary, performance-related rewards, health insurance, pension, and gym membership (if based at UK office). We provide support for further qualifications in a friendly and informal office environment. This position can be home-based or located at our UK Headquarters in the pretty village of Bollington, near Macclesfield, 40 minutes south of Manchester, UK.
If you wish to join our team of enthusiastic and dedicated people, please email your CV and accompanying letter describing why you feel you are suitable for this role to:
“Working in Adelphi Values satisfies my scientific curiosity and desire to deepen my pharmaceutical knowledge, whilst also developing my commercial acumen and business skills.”
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