Bioinformatics Programmer / UI developer

Location:

Posted:

June 17, 2015

MINGDA JIN

acp90d@r.postjobfree.com • 571-***-**** • 1111 Arlington Blvd, Apt 809, Arlington, VA, 22209

EDUCATION

GEORGTOWN UNIVERSITY, Washington D.C. Jan. 2014 - May 2015

M.S. in Bioinformatics

Cumulative GPA: 3.91 / 4.00

Relevant Coursework: Databases for Bioinformatics, Systems Bioinformatics, Bioinformatics Computing

FUDAN UNIVERSITY, SCHOOL OF LIFE SCIENCES, Shanghai, China Sept. 2009 - July 2013

B.S. in Life Sciences

Honors: 2010 Distinction in Major (top 3%)

TECHNICAL SKILLS

Programming: Python & BioPython, Linux, Git, SQL, R, JavaScript, HTML5, JSON

Bioinformatics: BLAST, UniProt, PDB, NCBI, Chimera, PyMOL, Galaxy, Cytoscape

Web Development: AngularJS, TurboGears1.5, Bootstrap3.0, CSS (SCSS), NPM, Bower, Grunt, Yeoman

EXPERIENCE

Jan. 2015 – May 2015

AXLE INFORMATICS, LLC, Rockville, MD

Software Developer Intern

Liaised with clients from NIH on the project building a shared platform for age-related macular degeneration

Integrated Angular Material and RequireJS into web application using NPM, Bower and Grunt

Developed a sample management tool with AngularJS including 3 submission forms and 3 data tables

Implemented RESTful API to return JSON promise for communication between app and website

Dec. 2014 – Apr. 2015

GEORGETOWN UNIVERSITY MEDICAL CENTER, Washington D.C.

Research Intern

Collected and analyzed scientific literature on microorganism identification using MALDI

Implemented the algorithm in Python for microorganism identification based on UniProt sequences

Developed a user interface for microorganism identification tool with TurboGears1.5 and Bootstrap3.0

Improved web-based application’s utility with SQLite and asynchronous execution

Feb. 2011 – Nov. 2013

LABORATORY OF BIODIVERSITY, FUDAN UNIVERSITY, Shanghai, China

Research Assistant

Identified microsatellite loci in Aspidistra transcriptome and developed SSR markers using Perl scripts

Performed sequence assembly of ESTs and ran local BLAST to identify homologous sequences

Contributed to the manuscript for publication and submitted raw NGS data to NCBI

Conducted molecular biology experiments to evaluate the polymorphism in 32 molecular markers

PUBLICATION

Huang D, Zhang Y, Jin M, et al. Characterization and high cross species transferability of microsatellite markers

from the floral transcriptome of Aspidistra saxicola (Asparagaceae)[J]. Molecular ecology resources, 2014, 14(3):

569-577.