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Data Medical Device

Location:
Indianapolis, IN
Posted:
January 19, 2019

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Yuanyuan Qiu

Email: ac78t4@r.postjobfree.com

Phone: 732-***-****

Indianapolis, IN

PROFESSIONAL SUMMARY

o Seeking a Statistical Programmer position with one and a half years of experience working as a Statistical Programmer in the medical device and pharmaceutical industry.

o Currently working as a Statistical Programmer at Eli Lilly and Company and worked as a Statistician II in Research and Development at Abbott Laboratories Diagnostics.

o Additional one-year experience working in a pharmaceutical research lab and proficient in biological and pharmaceutical lab techniques.

o Authorized to work in the United States and able to relocate and start the new position as soon as possible. SKILLS and CERTIFICTION

• Certified Base and Advanced SAS programmer for SAS 9

• Excellent expertise of data analysis and statistical programming

• Knowledge in CDISC standards including SDTM and ADaM for datasets programming for phase 2 and 3 clinical trials

• Basic knowledge of advanced programming including SAS Macros and PROC SQL

• Proficient in SAS functions and procedures for data manipulations and statistical modeling using SAS data step such as MERGE and procedures such as PROC MEANS, PROC FREQ, PROC TRANSPOSE, PROC MIXED, PROC LOGISTIC, PROC REPORT etc.

• Ability to adapt and work well in teams in a new environment with high pressure

• Excellent communication skills both oral and written EXPERIENCE

Senior Statistician-Computation

Eli Lilly and Company, Immunology Indianapolis, IN May 2018 – Present

• Derive ADaM domains such as ADDS, ADEX, ADMAYO, etc based on SDTM datasets using basic SAS functions and procedures for Phase 2 and 3 Clinical studies.

• Perform statistical programming, validate datasets and post-hoc tables, conduct statistical analysis to generated tables using SAS procedures such as PROC MEANS, PROC FREQ, PROC TRANSPOSE, PROC MIXED, PROC LOGISTIC, and PROC REPORT

• Generate Efficacy TFLs using internal automation software TAFFY as well as manual SAS programming

• Lead a phase 2 study and communicate well with project statistician

• Organize and actively participate in the “Fun Committee” events and team building activities in the Biometrics Department Statistician II

Abbott Diagnostics Division, Research & Development North Chicago, IL Sept. 2017 –April 2018

• Conduct statistical analysis and data manipulation using SAS for medical device data analysis

• Review and understand the study protocol to ensure correct data have been collected and properly documented to achieve the goal of the study

• Utilize various web applications to conduct quantitative and qualitative analyses and perform data cleaning using SAS, JMP and internal tool PEAR

• Communicate with lab technicians, scientists and statisticians regarding issues with data and responsible for implementing internal procedures to ensure the quality and integrity of the data analysis

• Involved in data cleaning, manipulations and unit conversions to compare over fifty Abbott Alinity S Assays for more than 10 sites arcos Europe for research purposes

2

Research Assistant

D r. Lingjun Li Lab, School of Pharmacy, University of Wisconsin-Madison Madison, WI Jan. 2012 -- Dec. 2012

• Comparative neuropeptide study: applied large-scale proteomic techniques to neurons of mice for disease diagnosis and biomarker discovery

• Prepared samples, designed methods, collected data, and interpreted results using ion mobility-mass spectrometry

• Determined the relative protein amount via the method of isobaric tags for relative and absolute quantification (iTRAQ)

• Collected results from the mass spectrum based on relative abundance of fragments and sorted results using Microsoft Excel

EDUCATION

Rutgers University School of Public Health–New Brunswick Piscataway, NJ MS in Biostatistics GPA: 3.72/4.0 May 2017

University of Wisconsin–Madison Madison, WI

BS in Biology May 2015

OTHER SKILLS

• Computer: Statistical data management software (SAS, R, JMP)

• Language: Fluent in Mandarin Chinese and English



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