Biostatistician with SAS Programming II

Cambridge, MA

Posted: 08/20/2019 Industry: Biotech/R&D/Science Job Number: 49412

  • Consult with Medical Affairs, Health Economics, Value & Access (HEVA), and Real-World Evidence Investigators to ensure timely execution to meet evidence needs 
  • Design  and conduct analysis for  network meta-analysis (NMA)  and indirect treatment comparisons (ITC), ensure compliance with best scientific practices and create study  reports 
  • Provide  statistical expertise to effectively communicate the findings within cross-functional teams including Medical Affairs, HEVA, Clinical Development, Biostatistics, and local  affiliates. 
  • Draft  or review analytic results for all reports and  publications 
  • Ensure  validation as per SOP of secondary data analysis  protocol 
  • Create  statistical sections for study synopses, protocols, or scientific  publications 
  • Develop  or review statistical inputs and results in submitted materials to external stakeholders, including scientific congress, peer-reviewed journals, regulatory/HTA submissions, core value dossiers  etc. 
  • Advise  on the methodological decisions and their efficiency to support findings from HEOR  studies 
  • Analyze, manage and optimize related  databases 
  • Maintain  documentation for data, programs, and  results 
  • Manage  external vendors for the delivery of study protocol, statistical outputs and study  reports 
  • Defend  statistical positions in interaction with other internal functions or external stakeholders. 

  • Good knowledge of NMA/ITC (mandatory) 
  • Good  knowledge of R,  Winbugs/OpenBUGS 
  • 5 years of relevant  experience 
  • Good  communication  skills 
  • Independence  and good organizational capacities. 

Kaztronix is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, sex, age, religion, disability, veteran status or any other consideration made unlawful by federal, state or local laws.In addition, all human resource actions in such areas as compensation, employee benefits, transfers, layoffs, training and development are to be administered objectively, without regard to race, color, religion, age, sex, national origin, disability, veteran status or any other consideration made unlawful by federal, state or local laws.

Marion Bowden

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