Develop and validate global programming standards for ADaM datasets
Develop and validate global programming standards for efficacy analysis and reporting
Develop and validate global programming standards for safety analysis and reporting
Design and develop complex programming algorithms
Provide technical consultation and analytical support to statistical programmers and statisticians
Represent our company on relevant industry initiatives including R Consortium, TransCelerate, PHUSE, CDISC,.
Collaborate with key stakeholders, partners in driving Analysis & Reporting standard programs using our company's standards, processes
Education and Minimum Requirement :
BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus minimum of 9 years of SAS programming experience in a clinical trial environment
MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 7 or more years of SAS programming experience in a clinical trial environment
Department Required Skills and Experience:
Excellent interpersonal skills and ability to negotiate and collaborate effectively
Excellent written, oral, and presentation skills
Broad knowledge and significant experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, listings, figures)
Strong project management skills; leadership at a program level; determines approach and ensures consistency and directs development of others when opportunities arise; ability to engage key stakeholders
Position Specific Required Skills and Experience:
Significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH and familiarity with at least one other statistical computing software
Knowledge and understanding of CDISC SDTM and ADaM standards
Experience working with analytical research databases including various analysis datasets and procedures/packages
Demonstrated understanding of statistics, clinical trial, and data management concepts as applied to drug/vaccine development
Demonstrated understanding of statistics, clinical trial, and data management concepts as applied to drug/vaccine development
**Preferred Skills and Experience:
Experience in developing flexible and efficient complex analysis and reporting standard SAS macros
R, Python and XML experience
Experience with Linked data, natural language processing
Experience using SAS, R in Unix/Linux environment
Ability to comprehend analysis plans which may describe methodology to be programmed; understanding of statistical terminology and concepts; Implements statistical methods not currently available through commercial software packages
Ability and interest to work across cultures and geographies
Active in professional societies
eligibleforERP
SPjobs
BARDS2020
VETJOBS
EBRG
Required Skills:
Accountability, Data Management, Data Modeling, Design Management, Mentorship, Numerical Analysis, Stakeholder Relationship Management
Preferred Skills:
Python (Programming Language), R Programming
Current Employees apply HERE
Current Contingent Workers apply HERE
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
Benefits
Health insuranceVision insuranceFlexible schedule
Additional Information
Job Description
In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our company's renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.
Merck · - Pennsylvania - North Wales (upper Gwynedd)