Programmer, Data Analysis, Epidemiology Analytics

Join a Legacy of Innovation 110 Years and Counting!

Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 100 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 15,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. Under the Group's 2025 Vision to become a "Global Pharma Innovator with Competitive Advantage in Oncology," Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.

Summary

This position provides data analytic support to the epidemiology team. It drives the implementation of Real-World Evidence (RWE) generation and statistical programming activities in various epidemiological projects. It requires advanced programming experience with SAS for complex analysis of clinical trial data and real world data including experience with SAS studio, SAS stored processes, SAS grid environment, SAS web applications, SAS visual analytics, and SAS Viya.

This position independently manages relationships with internal (CSPV, Regulatory, Clinical, Medical Affairs, HEOR and other stakeholders to ensure project expectations and programming specifications are clearly defined and met across participating teams) and external stakeholders.

Must be able to prioritize and manage across multiple projects and identify opportunities for advanced analytics and innovative research methodologies.

Responsibilities

• Data management and programming in SAS/R Plans and executes data analyses of observational and clinical trial data. Develops reports.
• Conducts literature search reviews including searches, reviews, preparation of summaries and reports as needed. Conducts estimation of background rates. Reviews safety documents and study protocols as needed. Works with cross-functional teams to formulate responses to health authority queries.
• Work closely with Pharmacoepidemiology leads and Head of Epi Analytics to effectively execute RWE and clinical database studies.
• Proactively communicates with other team members of the DS product to optimize the flow of information necessary to produce quality database programs in the most efficient way.
• It should be able to work independently and search for advice when needed to produce the best solutions.
• This position requires high skills in programming (particularly in SAS, R) with proven working experience as a data analyst with other pharmaceutical companies.
• It requires someone able to interpret data, analyze results using statistical techniques and provide high-quality reports, develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality, acquire data from primary or secondary data sources and maintain databases and/or data systems.
• Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. Work with management to prioritize business and information needs and locate and define new process improvement opportunities.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• This person should be able to balance conflicting priorities with limited resources and budget
• Monitoring of epidemiologic projects to ensure their delivery on time
• Ensuring the documentation of epidemiology activities by the lead epidemiologist to prepare the end-of-year report
• Comply with regulations, SOPs, and team processes or procedures at DS
• Collaborate with DS team members at all levels
• Additional activities might include the organization of meetings, logistics of projects, preparation of minutes, or setting up meetings.
• Analysis Documentation: Leads the process.
• Efficiency of Process, SOP: Leads the process and provides guidance. Proactively ensures regulatory and Good Pharmacoepidemiology Practices.

Qualifications: Successful candidates will be able to meet the qualifications below with or without reasonable accommodation.

Qualifications

• Master's Degree in a relevant discipline in Biostatistics/ Statistics/Mathematics or Epidemiology is required
• PhD or equivalent preferred
• 4 or More Years of post-master's degree preferred
• 2 or More Years of post-doctoral degree experience in the relevant industry or functional area preferred
• Excellent statistical programming skills (SAS and/or R)

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.