Programmer, Business, Data Scientist

We are recruiting for a statistical programmer to join the Adelphi Values PCO Statistics and Programming Team. As a statistical programmer, 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 trial datasets. 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 alongside statisticians and psychometricians, within a small, friendly and tightly‑knit team to develop high quality, 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 analysis of clinical outcomes analysis (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 graduate 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‑Centred 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.

Our purpose is to improve patients’ lives by informing healthcare decisions. In the Statistics and Programming team, which is embedded in the Patient‑Centred Outcomes practice, we do this primarily through supporting clients in the statistical and psychometric design and analysis of COA endpoints/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/PRO measurement specialists within the Patient‑Centred 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 a 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 position is hybrid with 2‑3 office‑based days 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,  and accompanying letter describing why you feel you are suitable for this statistical programmer role to: .