Statistical Programmer (m/w/d)

Rahmendaten

<h2><strong>Statistical Programmer</strong></h2> <br> <strong>Start date:</strong> 17.11.2025<br> <strong>End date:</strong> 31.03.2026<br> <strong>Working hours: </strong>fulltime<br> <strong>Remote:</strong> 100% remote<br> <strong>Travel activity:</strong> none<br> <strong>Extension option</strong>: possible, cannot be said at present<br> <br> <br> <strong>Tasks:</strong> <ol> <li> <p>develop independent TFLs for HTA/ HEOR;</p> <li> <p>independently generating of analyses to be used primarily for HTA/HEOR submission, publication, exploratory analysis;</p> <li> <p>independent preparation of analyses in compliance with the standard to be considered;</p> <li> <p>improve programming efficiency by developing ad-hoc solution (macros) to speed up creation and validation of TFLs.</p> </ol> <p><br> <strong>Requirements:</strong></p> <ol> <li> <p>Bachelor’s degree in statistics, biostatistics, mathematics, computer science or life sciences required; master’s degree in bio/statistics preferred</p> <li> <p>At least 4 years of experience supporting drug development and/or post marketing in clinical research, Pharmaceutical, CRO or Medical Device setting</p> <li> <p>Experience in oncology Therapeutic Area and/or in late phase projects is an advantage</p> <li> <p>Excellent English language skills</p> <li> <p>Good understanding of GCP and GDPR principles</p> <li> <p>Advanced working knowledge all SAS language, procedures and options commonly used in clinical trial reporting including the Macro language, BASE SAS, SAS/STAT and SAS/GRAPH. Knowledge of SAS Enterprise Guide and/or SAS Studio is recommended but not required</p> <li> <p>Previous experience in SAS macro and/or system utility development is preferred</p> <li> <p>R knowledge is highly recommended</p> </ol>