Clinical Programmer/Sr. Clinical Programmer

The Position

We are seeking a clinical programmer or sr. clinical programmer to join our growing biometrics team to support clinical studies across Arrowhead’s expanding portfolio. This is an exciting opportunity for a clinical programmer with experience in the pharmaceutical industry or at a CRO. They will contribute to the data management, clinical, and statistics team, performing a variety of programming activities.

Customer Relationship
Personal Evolution
Autonomy
Administrative Work
Technical Expertise

Key Duties and Responsibilities:

  • Work with data managers to develop data review plans to ensure data cleanliness
  • Implement SAS-based edit checks to implement data cleaning to ensure data of the highest quality
  • Code programs to help reconcile inbound vendor data transfers against clinical database records
  • Deliver programming results for ad-hoc analysis requests by statistics
  • Develop programs for use by the safety monitoring department to ensure safety surveillance and signal detection
  • Review outputs and data transfers provided by CROs for accuracy and consistency with specifications and CDISC Standard
  • Assist with vendor oversight to ensure quality deliverables
  • Participate in study team meetings and support data-cleaning activities
  • Assist in efforts to identify, develop, and implement departmental standards, applications, processes, and training

Requirements:

  • Bachelor’s degree in biostatistics/statistics/public health or similar field
  • Basic understanding of clinical trials
  • Working knowledge of SAS, including complex data manipulation and basic analysis procedures
  • Excellent verbal and written communication skills
  • At least 1.5 years experience in clinical programming under the pharmaceuticals/biotech clinical development or CROs for the senior position.
  • Familiarity with CDISC standards, including CDASH and SDTM

Preferred:

  • Familiarity with multiple external data sources including central labs and other electronic data sources
  • Familiarity with RAVE
  • Exposure to Spotfire or other data visualization platforms.