Manager, RWE Programming

2 months ago

Atlanta GA United States Daiichi Sankyo, Inc. Full time

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 16,000 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

The purpose of this job is to provide statistical/data science programming as well as technical support for Daiichi Sankyo's RWE projects to improve Daiichi Sankyo programming and computing efficiency by evaluating tools and software in the use of real-world data (RWD).

Responsibilities

  • Provide programming support for RWE project or study to deliver the TLFs on time and support ad-hoc requests.
  • Develop and maintain necessary programming macros or tools to effectively support all programming needs. Responsibilities include: identify the macros or tools that will facilitate programing efficiency, support the macro or tool development, and support the macro or tool implementation and maintenance.
  • Evaluate, assess and enhance DSI computing environment system with some supervision. Responsibilities include: assess DSI new computing environment system for programming and analysis efficiency, identify system bug/issue and lead the activity to enhance the system, develop system training materials and work as the SME to support implementation, evaluate, request and approve system upgrades, and propose/develop system utilities.
  • Provide input to build a strong RWD environment, RWE computing environment, promote innovative solutions, operational excellence and develop efficient processes and standards for RWE.
  • Demonstrate high level proficiency for Machine Learning (ML) and Artificial Intelligence (AI) technology, align with future roadmap, network with other business area/analytics group to promote efficiency in the use of AI/ML.

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

Education Qualifications (from an accredited college or university)

  • Bachelor's Degree from an accredited institution in science or in a technical field required.
  • Master's Degree preferred

Experience Qualifications

  • 7 or More Years Minimum 7 years (or Master’s degree with minimum of 4 years) proven experience within pharmaceutical industry, or CROs supporting statistical programming preferred
  • 4 or More Years Previous experience supporting macro and/or system utility development is highly preferred preferred
  • Advanced working knowledge of statistical or script programming language such as SAS, R, Python, SQL preferred
  • Understanding of statistical concepts in support of analyses preferred
  • Experience in using the RWD including retrospective database, registries, EMR and claims preferred
  • Knowledge in the secondary database structures or external control arms preferred
  • Experience in statistical modelling (time to event analysis), causal inference methods (Mixed Models for Repeated Measures, Cox proportional hazard model, propensity scoring techniques, comparative effectiveness analysis, etc.) is preferred

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.

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