Biostatistician

Email your resume to songhui.zhu@a2zscientific.com to apply. Sr. Manager of Bio-Statistics (Warren, NJ) Research, analyze and design statistical protocol for phase I-III clinical trials applying principles of biostatistics and statistics; Lead statistics study program design and programming activities for clinical trial and studies using statistical inference; Review clinic trial statistical study design, protocols and statistical analysis plans using SAP; Create and review statistical analysis tables, figures and listings for clinic trial reports; Validate efficacy data-sets; Provide statistical analysis advice and guidance on drug development planning; Analyze, summarize and interpret large clinic trial /bio-statistics data by utilizing mathematical and statistical methodology; Perform statistical analysis with linear statistical models, mixed model repeat measurement and longitudinal data analysis, survival and time-to-event analysis, bootstrap methods and multivariate analysis. Must have a PhD in Statistics or Biostatistics plus skills and knowledge in Survival Analysis, Linear Statistical Models, Analysis of longitudinal data, Statistical Inference, Bootstrap methods, Multivariate Analysis.

Job location:

Warren, NJ. Submit résumé with referencing code ZHL003 to HR, A2Z Scientific Inc., 4 Cobblestone Court, Warren, NJ 07059. Serves as the study Statistician on clinical trial projects. Provides scientific and therapeutic area thought for study design and statistical analysis issues. Serves as scientific strategy consultant to clients for drug development planning. Maintains expertise in data manipulations and statistical analyses.

Qualifications Required Education and Experience:

Ph.D. in statistics, biostatistics, applied mathematics, or mathematics. At least 4 years working experience. Required Knowledge, Skills, and Abilities Strong theoretical background and applied statistical knowledge. Demonstrated research ability with published papers. Strong knowledge and skills of programming in SAS, S-plus, and R. Excellent verbal and written communication skills. Positive attitude and the ability to work well with others in a multi-disciplinary setting. Must be able to multi task and pay close attention to detail. Good organizational skills with the ability to adapt and adjust to changing priorities. Ability to communicate complex statistical concepts in a multi-disciplinary setting.