Expert Statistical Programming (m/f/x)

at  Daiichi Sankyo Europe

PASSION FOR INNOVATION. COMPASSION FOR PATIENTS.

With over 120 years of experience and more than 17,000 employees in over 20 countries, Daiichi Sankyo is dedicated to discovering, developing, and delivering new standards of care that enrich the quality of life around the world.
In Europe, we focus on two areas: The goal of our Specialty Business is to protect people from cardiovascular disease, the leading cause of death in Europe, and help patients who suffer from it to enjoy every precious moment of life. In Oncology, we strive to become a global pharma innovator with competitive advantage, creating novel therapies for people with cancer.
Our European headquarters are in Munich, Germany, and we have affiliates in 13 European countries and Canada.
We are currently looking for a

PROFESSIONAL EXPERIENCE & EDUCATION:

• Education and Experience
• Bachelor’s degree in statistics, biostatistics, mathematics, computer science or life sciences required.
• No previous experience mandatory
• Competencies and Generic Skills
• Excellent English language skills
• Understanding of GCP and GDPR principles
• Good communication skills, both oral and written, in explaining in simple terms complex concepts
• Knowledge of SAS language, procedures and options commonly used in clinical trial reporting including the Macro language, BASE SAS, SAS/STAT and SAS/GRAPH
• Baseline knowledge of advanced statistical methods using SAS
• R knowledge is highly preferred but not required
• Knowledge and understanding of the principles, concepts, methods, and standards of Clinical Research.
• Ability and interest to work remotely with worldwide team members across cultures and time zones

• Study level statistical activities
• Responsible, with supervision, for operational aspects of study activities assigned to Statistical Programming
• Including but not exclusive to SAPs and TFL shells review from a programming perspective,
• Limited contribution to develop SDTMs and ADaM datasets specifications, contribute to develop
• SAS programs to create SDTM and ADaM datasets and TFLs based upon provided specs
• Ensure timely and accurate completion of Statistical Programming deliverables
• Must comply with international regulations and maintain inspection readiness
• Ensure inspection readiness as well as prepare potential audits linked to assigned studies
• Vendor Oversight
• With supervision, responsible for routine oversight of vendor delivery, to ensure compliance with
  the protocol, external/internal standards applicable regulatory guidelines, policies, SOPs, and other

relevant guidelines.

• Participates in drafting request for proposal for CRO selection.
• Reviews base-line budget and timelines.
• Contributes to budget management and activities across the project duration
• Operational Excellence Innovation
• Participate in Global Evidence Generation initiatives to improve the harmonization and efficiency of processes and/or develop and implement innovative solutions
• Maintains current knowledge of industry best practice in Statistical Programming methodology

Any other duties deemed pertinent to the needs of the business.