Senior Programmer Analyst – CDISC SDTM Specialist Using SAS

We are vital links between an idea for a new medicine and the people who need it. We are the people of PPD clinical research services — thousands of employees in locations worldwide connected by tenacity and passion for our purpose: to improve health. You will be joining a truly collaborative and winning culture as we strive to bend the time and cost curve of delivering life-saving therapies to patients.  

Our Biostatistics & Programming (B&P) department are passionate about being data and technically agile and driving enhanced value for our clients and patients. Determined to improve patient health, we help the business provide industry leading CDISC expertise and programming leadership through global delivery, consistent quality adherence and scientific insight.

Your responsibilities will include (but are not limited to) the following:

• Creation of specifications, development, validation, and delivery of CDISC SDTM and regulatory deliverables (eCRT Define.xml, SDTM aCRF).
• Analysing and combining data from a variety of sources and structures including virtual trials, wearables, eCOA, etc.
• Generating visualizations (Spotfire), Statistical safety reports (TLFs), safety event notifications and data alerts for study teams.
• Provide consult, analysis, and support across various therapeutic area studies in their CDISC compliance and consistency in mapping.
• Act as programming lead on Phase II-IV studies of moderate to high complexity.
• As programming lead working directly with project team leaders and client representatives and where required to conduct team meetings, develop, and maintain project timelines, assess, and forecast resources, and monitor study budgets.
• Develop instructional training and education materials for the wider B&P community.
• Provide mentorship to junior team members.

Education, Experience and Skills required:

• MS/MA degree in computer science, statistics, biostatistics, mathematics or related field and 4-5+ years of experience.
• In-depth understanding of SAS and, ideally, one other programming language.
• In-depth understanding of relational data base structure and complex data systems.
• Capable of effectively capturing biostatistical metrics.
• Capable of providing quality control review for statistical programming and identifying solutions and process improvements.
• Capable of independently and effectively organizing and managing multiple assignments with challenging timelines.
• Solid project management skills to act as project lead across the most challenging and complex projects.
• Demonstrated leadership, initiative, and motivation.
• Capable of training and mentoring others.
• Fluent in English.