Stastitical Programmer in Bollington

We are recruiting programmers to join the Adelphi Values PCO Statistics and Programming Team. In this role you will analyse patient-reported outcome (PRO) data from clinical trials and psychometric studies in support of the development of patient-reported outcome measures. The clinical data we analyse is diverse and sometimes complex compared to many clinical trials datasets. You will have a logical mind, enabling you to unravel the detail in the data, and enjoy the challenge of work that at times requires intricate data manipulation.

Programmers work closely with statisticians and psychometricians, within a small, friendly and tightly knit team to develop high-quality, and sometimes innovative, tables and figures for our clients. You will also get involved with developing and improving processes, including the creation of standard macros to be used across studies and the integration of AI within processes where suitable.

SAS Base Certification is essential, and Advanced Certification and/or Clinical Trials Certification is desirable, or equivalent experience. Two to three years minimum experience of statistical analysis in SAS is essential, and experience in analysing clinical outcomes assessment (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. Knowledge of CDISC, SDTM and ADaM specifications and best industry practices is also desirable. You will have a degree in Mathematics, Computer Science, Biostatistics/Statistics, Educational Measurement, or equivalent experience in statistical SAS programming.

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 a meaningful difference and are proud of our high standards of scientific rigour and client service. We are a small team where there is plenty of opportunity to influence decision-making and develop leadership skills. We are committed to personal development, supporting individuals 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.

Our purpose is to improve patients' lives by informing healthcare decisions. In the Statistics and Programming team, which is embedded in the Patient-Centered Outcomes practice, we support clients with the statistical and psychometric design and analysis of COA endpoints and instruments in clinical trials and observational studies.

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 and 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. You will be comfortable combining, transposing and merging several datasets that may be organised in a complicated manner (such as diary data).

We believe in rewarding high performance - so our benefits package includes competitive salary, performance-related rewards, health insurance, pension, and gym membership (based at our Bollington office). We provide support for further qualifications in a friendly and informal office environment. This can be a hybrid position with 2-3 office-based days at our UK Headquarters in the attractive village of Bollington, near Macclesfield, 40 minutes south of Manchester, UK.

Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance. Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you.

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