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Biostatistician

Employer
SystImmune, Inc.
Location
Redmond, WA , United States
Start date
Feb 28, 2019

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Discipline
Science/R&D, Biostatistics
Required Education
Masters Degree/MBA
Position Type
Full time
Hotbed
BioForest
Located in Redmond WA, SystImmune Inc. is a bio-pharmaceutical company focused on the treatment of cancer through developing novel therapeutic bi-specific, and tri-specific antibodies, as well as antibody-drug conjugates (ADC's). Our objective is to create biologics that work through systematic intervention on the solid tumor micro-environment, to either directly attack the tumor and/or to activate the immune system to attack the tumor. We are a group of highly experienced immuno-oncology scientists utilizing several technology platforms to develop world class advanced antibody-based drug therapies.

Essential Duties and Responsibilities
  • Develop and apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information internally and externally to company;
  • Participate in preclinical and clinical teams in the planning, design, conduct, and reporting of studies and regulatory submissions, serving as key biostatistician on preclinical study design and data analysis;
  • Identify relationships and trends in data, as well as any factors that could affect the results of high impact research;
  • Report results of statistical analyses, including information in the form of graphs, charts, and tables;
  • Analyze and interpret statistical data to identify significant differences in relationships among sources of information;
  • Develop software applications or programming to use for statistical modeling and graphic analysis and data visualization;
  • Design clinical experiments and interventional studies to generate the requisite data and analyze the resulting data; and
  • Participate in preparing regulatory documents for FDA and other agencies.

Qualifications
Experience must include the following:
  • SAS;
  • R;
  • SQL; and
  • Clinical trial data analysis experience.
Education
  • • Master's degree (U.S. or foreign degree equivalent) in Mathematics and Statistics or a closely related field

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