HTML Preview Biomedical Engineering Resume Summary page number 1.
Summary of Qualifications
Graduate Student Resources
The University of Georgia Career Center
Clark Howell Hall, 706.542.3375, www.career.uga.edu
Example #1:
SUMMARY OF QUALIFICATIONS
• 6+ years research experience in biological/biomedical engineering, which includes biosensors, microfluidics,
electrochemistry, micro-/nano-fabrication, cell culture, cell assay and biomaterials
• Strong quantitative & analytical skills with a broad interdisciplinary educational background in biochemistry,
chemical engineering, biostatistics and pharmaceutical sciences
• Independent researcher in close collaboration with 10+ biochemists, physicists, animal scientists and
bioengineers from different labs and institutions
• First author of 4 journal publications under peer-review and 3 conference presentations
• Experienced lab manager who routinely trained and supervised new graduate students, undergraduate interns
and visiting scholars
• Proficient in SigmaPlot, ImageJ, Office and Acrobat, and skilled in MatLab, SAS, Origin, AutoCAD and
EndNote
• Fluent in English and Chinese (Mandarin & Cantonese)
Example #2:
SUMMARY OF QUALIFICATIONS
• Guide, motivate, counsel and instruct individuals in defining their talents, skills and abilities to compose
effective resumes as a marketing tool.
• Excellent listener exercising keen insight to accurately analyze and identify solutions to career issues.
• Accustomed to delivering high-quality customer service on a continual basis, often exceeding position
expectations, in a client-driven business.
• Exhibit organizational knowledge and convey that knowledge effectively.
• Self-motivated, displaying strong administrative and marketing skills resulting in efficient and accurate
project completion.
Example #3:
Skills and Qualifications
Finance: Proficient in Asset Pricing Models, Continuous-time Finance, Derivative Pricing; Market
Liquidity Modeling; Interest Rate Term Structure Modeling, Fixed Income Analysis;
Corporate Finance, Game Theory.
Quantitative: Proficient in Regression and Statistical Analysis, Time-Series Analysis, Advanced
Probability, Stochastic Calculus, Dynamic Programming, and Stochastic Control.
Programming: Proficient in FORTRAN and MATLAB; Comfortable with SAS and Visual Basic;
Skilled in EVIEWS, EXCEL, and Mathematica.