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Data Science Systems Analyst

Location:
Oklahoma City, OK
Posted:
April 20, 2025

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Resume:

JONATHAN THOMAS

********.*****@**********.*** *** 617-***-****

SUMMARY

Engineer with significant IT and data analytics experience. Skills include Python and SQL proficiency, data science, analytical thinking, and creative problem solving. Able to apply probability and statistical concepts for modeling and engineering solutions. EDUCATION

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Cambridge, MA Bachelor of Science in Materials Science & Engineering 08/06/2018 WORK EXPERIENCE

OAIRE Oklahoma City, OK

R&D Engineer II 17/02/2025– Present (40 Hrs/wk)

• Assist in design, development, implementation, and analysis of human factors data for the Soldier Touchpoint Project for the US Army. Currently developing a new analytical processes to improve data quality and efficiency for the effort. Transcore Edmond, OK

Systems Analyst 09/12/2024– 10/02/2025 (40 Hrs/wk)

• Maintained an advanced traffic management system for tolling machines in Oklahoma. Currently pioneering mobile identification and authentication technology to meet the needs of the state. Tinker Air Force Base Midwest City, OK

Platform Engineer 10/10/2023– 09/23/2024 (40 Hrs/wk)

• Optimized ingestion and parsing processes of large binary data, sourced from streams of different frequencies. This work is part of a group effort to build a radio frequency data product for the US Military. The group has been rewarded by the Air Force for its progress in this effort.

INTEGRIS Health Oklahoma City, OK

Analytics Engineer 20/07/2021– 09/12/2022 (40 Hrs/wk)

• Engineered models and data visualizations for business intelligence of hospital Key-Performance Indicators, delivering analytic value for stakeholders through improved data integrity and cogent visualization design and processes. Standard techniques include data extraction, mining, cleaning, validation, modeling, and visualization builds from both raw sources and proprietary databases. Notable examples include the implementation of data structures and algorithms to improve integrity of automations for patient access metrics.

Data Scientist II/Product Owner 14/02/2020 – 20/07/2021 (40 Hrs/wk)

• Translated Integris leadership strategies into actionable items for squad engineers - myself included - while also serving as a liaison between corporate strategy and IT engineers. Moreover, communication of technical advise in conjunction with data engineering was key in helping drive continuous improvement for the team. The iterative application of clinical and business intelligence in product design and ownership, ranging from finite transactions to corporate-scale granularity, resulted in reducing our four-year backlog by nearly 50% during my tenure. Research Assistant at Co-Bio Consulting, LLC Cambridge, MA Independent Contractor 01/04/2019 – 30/10/2019 (24 Hrs/wk)

• Contract with the U.S. Department of Health & Human Services (HHS). Programmed web-crawlers using Python 2.7 and associated libraries to data mine websites, public databases, and the Clarivate database for information regarding Breast Cancer biomarkers. Utilized programming language algorithms for the analysis of copious raw data to cleanse, consolidate, and optimize key data model elements. Calculated predictive biomarkers and surrogate endpoint success rates upon data validation. MIT, CENTER FOR BIOMEDICAL INNOVATION (MIT CBI) Cambridge, MA Technical Researcher 14/06/2018– 10/01/2020 (40 Hrs/wk)

• Developed an EPP-model (eligible patient populations) for cell and gene therapies in the US. Applied healthcare economics principles and biostatistics for Monte-Carlo simulations of eligible patient populations. Machine learning algorithms were essential in the evaluation of relationships for model calculations. Additionally, supervised colleagues and provided technical advise in data extraction and analytics.

o Further, communicated these efforts in writing and oral presentations (BioMAM Conference, Harvard-MIT CRS Regulatory Science Symposium, Value in Health Journal) SKILLS

Computer: Python, Spark, SQL (T-SQL, SQL Server), Javascript, Power BI, AWS, Azure, Visual Basic, HTML, Photoshop PUBLICATIONS

• Estimating the clinical pipeline of cell and gene therapies and their potential economic impact on the U.S. healthcare system

o Co-Authored in Value in Health Vol. 22, Issue no. 6 (15/06/2019)



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