CONTACT

***- ***-****

ad3k0y@r.postjobfree.com

PROFESSIONAL

SUMMARY

Adaptable software developer with 7+

years of work experience who has

proven over several projects that

high-quality code is key in the

high-stakes medical industry. Aiming

to solve real-world problems with my

wide array of programming skills. I

bring a collaborative spirit and a

knack for picking up new technologies

in the ever-changing landscape of

software development.

SKILLS

■ Programming: C++, C#, Python, Java

Backend: InterSystems

Caché/MUMPS, SQL

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Front End: React, JSX, Typescript,

HTML, CSS, Javascript, .NET

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■ Subversion: SVN, Git

Design: LucidChart (UML), Balsamiq

(Wireframe)

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Microsoft Technologies: Excel,

Outlook, Teams, OneNote, Word

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NICK CLAWSON

SENIOR SOFTWARE DEVELOPER

EXPERIENCE

Senior Software Developer Epic Systems

06/2016 - Present

Reduced the false-positive rate of an "Early Detection of Sepsis" predictive model by 70% by building the framework for retraining predictive models on individual customer data.

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Led the investigation of 2500+ code references, collaborating with 75+ developers, to implement distinguishing between a patient's home and mailing address.

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Fixed hundreds of internally-found and customer-found issues, including investigating code and root cause, design, and development in a critical, fast-paced environment.

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■ Reviewed code and tested other developers' projects and bug fixes. Maintained high code quality through performance testing and unit testing.

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Assisted end-users during 10+ go-live or observation trips while also reviewing usage of the software and gathering requirements for projects.

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Presented on topics for instructing a team of 50+ new and experienced developers.

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Research Assistant Brigham Young University

01/2014 - 04/2016

Eliminated 20% duplicative DNA information from FASTQ files and presented this at BYU's Biotechnology and Bioinformatics Symposium in December 2014 and Student Research Conference in April 2015.

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Co-developed a program that calculates relatedness between members of a vast family tree, containing tens of thousands of members.

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Harnessed the power of the school supercomputer using Unix, Vim, and Python, to run process-intensive programs and presented the results.

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Predicted three different variants of kidney cancer with 98% accuracy using an ensemble of different predictive models on DNA data.

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EDUCATION

Bachelor of Science (B.S.): Computer Science with Bioinformatics Emphasis

Brigham Young University - Utah, 04/2016

CERTIFICATIONS

Epic: Prelude (Registration), Cadence (Scheduling), and Identity (Record Management)

Contact this candidate