Data/Research/Science

Profile:

A self-driven Research Associate with nine years of experience in academic arena, versatile, multi-skilled person, is eager to gain proficiency in new areas and dive into the field of Data Science

Work Experience:

Research Associate (April 2016- June 2016 (department shutdown)) – NorthShore University Health Systems, Department of Clinical Research Informatics, Evanston, IL

Provided analytics that support data-driven decision making

Performed data cleaning, manipulation and analysis of large patient database using R

Mastered R in short period of time

Operated Linux/UNIX and GNU Emacs

Utilized descriptive statistics to look for patterns with the goal to develop prediction model for forecasting survival time of patients

Created regression models to predict asthma occurrences in patients of different races

Research Associate (2007-2016) -- Stanley Manne Children’s Research Institute, Chicago, IL

Studies aimed at identifying genes that contribute to cancer progression and at understanding how cancer cells growth can help find novel anti-cancer targets

Designed and executed experiments applying various molecular biology and biochemistry techniques such as PCR, ELISA, Western blots and more

Conducted data analysis using Excel and generated reports, created PowerPoint presentations

Demonstrated abilities to troubleshoot

Took charge of consistently improving productivity of the laboratory

Contributed to numerous publications in prestigious scientific journals

Chemist (2006-2007) -- EMCO Chemicals Distributor, North Chicago, IL

Performed laboratory analysis of chemical products using various industry-standard techniques and technologies, while working under pressure in a fast paced environment

Documented deviations and recommendations inline with analysis outcomes

Education:

Bachelors of Science Degree in Biochemistry (2005) -- University of Illinois at Chicago

Certifications:

Python for Informatics Specialization (2016) -- University of Michigan on Coursera

Genomic Data Science Specialization -- Johns Hopkins University on Coursera

Introduction to Genomic Technologies (October 3, 2015)

Python for Genomic Data Science (October 3, 2015)

Genomic Data Science with Galaxy (October 31, 2015)

Command Line Tools for Genomic Data Science (October 31, 2015)

Algorithms for DNA Sequencing (November 28, 2015)

Languages: Fluent in English, Hebrew and Russian

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