Research Assistant Resume

SUMMARY:

Developed algorithms to analyze high - throughput, next generation sequencing (NGS) data to create a rapid, low-cost, potential diagnostic tool (packaged as desktop app for distribution) to detect pathogenic bacterium from mixed samples (body fluids, water, soil) to prevent disease outbreak, or identify contaminants.
Established small enterprise and sustainability based online venture and created jobs in the local economy.
Process development in scientific computation area; from inception to primary product
Python 2 and 3, and R for Big Data Analysis, Data Manipulation, Data Visualization, Reporting, NGS, Simulation, Testing, Statistical Computing & Software Development
Developed Python Desktop application for distribution using Python IDEs: Pycharm, Atom; package installation and management using pip; Flask micro framework and setting up executable files using Inno setup, testing and automation using Unittest, debugging using PBD(command line) and Pycharm(IDE).
LINUX environment, Bash Shell Scripting for automating algorithm testing process
Algorithm design for Computational Biology applications
ART & WgSim for Benchmarking, Confidential Data Analysis, Emulating Sequencing Processes, Synthetic Sequencing Reads, Error Modeling & Quality Profiling
Identify and analyze proteins/ Biomolecules by Mass Spectrometry and Peptide structure elucidation (Swiss-Model) for drug-design
Scientific programming (using Python) to analyze large amounts of high throughput Sequencing data followed by statistical modeling in order to come up with faster, simpler and more efficient ways of pathogenic bacteria detection from metagenomic samples
Familiar with application level programming languages like Python and C++
Helped create integrated genomes of pathogen for rapid, diagnostic testing
Integrated processes involving composite genome development for processing and analyzing next-generation sequencing data and maintained code under version control
Used ART extensively to generate test samples from pathogen databases like NCBI, Patricbrc and Sequence Read Archive(SRA) to validate diagnosis process, use tools/programs like Groomer and BWA to generate primary data files to analyze
Trained research students in the Confidential data analysis process and methodology using Linux command line, UseGalaxy.org, scientific programming (Python) and excel for data reporting

WORK EXPERIENCE:

Confidential

Research Assistant

Responsibilities:

Scientific programming (using Python and Bash Shell Scripting) to analyze large amounts of high throughput Sequencing data followed by statistical modeling in order to come up with faster, simpler and more efficient ways of pathogenic bacteria detection from metagenomic samples

Confidential

REAP Mentor

Responsibilities:

Aided high school students to undertake STEM fields and guided them through sophisticated scientific research methodologies and career advancement in Bioinformatics (Certified by the U.S. Army)

Confidential

Consultant

Responsibilities:

Supported classroom and lab environment by trouble shooting IT and Networking issues Windows 10 migration - part of team for post-ghost testing campus wide OS upgrade and integration

Confidential

Founder and Editor

Responsibilities:

Created content on sustainable lifestyle and small business development.
Managed a team of writers, collaborated with organizations for synergistic development.
Generated employment opportunities for young women in the community

Confidential

Science/News Content Developer and Manager

Responsibilities:

Reported scientific findings and state government press releases, and managed a team of writers

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