Konur Bayrak

Bioinformatics Scientist II at Essex Management, LLC

Konur Bayrak's work experience begins with their current position at Essex Management, LLC, where they serve as a Bioinformatics Scientist II. In this role, they are part of a multidisciplinary team focused on seroprevalence reporting and precision oncology. Konur'sresponsibilities include leading research in precision oncology, developing computational workflows for data analysis, and collaborating with internal and external stakeholders.

Prior to their current role, Konur was a PhD candidate at Drexel University School of Biomedical Engineering, Science and Health Systems from September 2019 to March 2021. During this time, they also worked as a Teaching Assistant at Drexel University.

Before that, Konur worked as a Computational Biologist at the Sidney Kimmel Cancer Center - Jefferson Health from October 2018 to July 2019. Konur also gained experience as an in vivo lab co-op at GSK from January 2017 to December 2017.

Konur's early work experience includes roles as a Research Member and Research Assistant at Rutgers University from September 2015 to May 2016, as well as an intern Associate Software Engineer at Syncsort from July 2013 to August 2013. In the latter role, they were involved in unix development, code alterations, testing, and documentation.

Overall, Konur Bayrak has a diverse background in bioinformatics, research, teaching, and software engineering, with a particular focus on precision oncology.

Konur Bayrak earned a Bachelor's Degree in Biomedical Engineering from Rutgers University between 2012 and 2016. Following that, between 2016 and 2018, Bayrak pursued a Master's Degree in Biomedical/Medical Engineering at Drexel University.

Location

New York, United States

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Essex Management, LLC

Essex Management provides biomedical informatics and health information technology services. They also provide Essex capability statement, program management, project management, systems design, systems engineering, computational biology, development of genetics, phenotypic databases, development of analytics/algorithms, data management,genetic sequencing, design of query interfaces, database administration, cloud services, infrastructure services, IT systems consolidation, application engineering, machine learning/AI/NLP, integrated process automation, stakeholder management, communications, business analysis, business design, project recovery, clinical data standards, and bioinformatics.


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51-200

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