Manager, RWE Programming/ R Development Daiichi Sankyo Basking Ridge, NJ

• On-Site Apply Oncology Innovation Statistics Mixed Model Excel Macros SAS (Software) Pharmaceuticals Immune Disorder Real World Data Causal Inference Machine Learning Statistical Modeling Operational Excellence Cardiovascular Disease Artificial Intelligence Statistical Programming Sustainable Development R (Programming Language) Repeated Measures Design SQL (Programming Language) Database Storage Structures Python (Programming Language) At least 4 years $140,400 / yr Posted yesterday

Description:

At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Job 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 Education Qualifications Bachelor's Degree from an accredited institution in science or in a technical field preferred Master's Degree preferred Experience Qualifications 7 or More Years with a Bachelor's Degree 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 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.

Salary Range:

USD$140,400.00 - USD$210,600.00

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60217244A0