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I'm Edison Florez, a computational lead and PhD scientist bridging math, physics and enterprise software. I architect scalable, cloud-native platforms that integrate AI and first-principles modeling to tackle complex biological challenges. My work focuses on engineering digital twins to accelerate innovation in AgriTech, translating ambitious scientific visions into commercially viable, high-performance technologies. With a background spanning biotech R&D, finance, and sales, I bridge scientific discovery and software engineering, defining technical roadmaps and delivering end-to-end solutions that empower researchers and businesses alike.…I'm Edison Florez, a computational lead and PhD scientist bridging math, physics and enterprise software. I architect scalable, cloud-native platforms that integrate AI and first-principles modeling to tackle complex biological challenges. My work focuses on engineering digital twins to accelerate innovation in AgriTech, translating ambitious scientific visions into commercially viable, high-performance technologies. With a background spanning biotech R&D, finance, and sales, I bridge scientific discovery and software engineering, defining technical roadmaps and delivering end-to-end solutions that empower researchers and businesses alike.

Edison Florez

Data Scientist, Architect, Full Stack Developer, +3

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I'm Edison Florez, a computational lead and PhD scientist bridging math, physics and enterprise software. I architect scalable, cloud-native platforms that integrate AI and first-principles modeling to tackle complex biological challenges. My work focuses on engineering digital twins to accelerate innovation in AgriTech, translating ambitious scientific visions into commercially viable, high-performance technologies. With a background spanning biotech R&D, finance, and sales, I bridge scientific discovery and software engineering, defining technical roadmaps and delivering end-to-end solutions that empower researchers and businesses alike.…I'm Edison Florez, a computational lead and PhD scientist bridging math, physics and enterprise software. I architect scalable, cloud-native platforms that integrate AI and first-principles modeling to tackle complex biological challenges. My work focuses on engineering digital twins to accelerate innovation in AgriTech, translating ambitious scientific visions into commercially viable, high-performance technologies. With a background spanning biotech R&D, finance, and sales, I bridge scientific discovery and software engineering, defining technical roadmaps and delivering end-to-end solutions that empower researchers and businesses alike.

Available to hire

I’m Edison Florez, a computational lead and PhD scientist bridging math, physics and enterprise software. I architect scalable, cloud-native platforms that integrate AI and first-principles modeling to tackle complex biological challenges. My work focuses on engineering digital twins to accelerate innovation in AgriTech, translating ambitious scientific visions into commercially viable, high-performance technologies.

With a background spanning biotech R&D, finance, and sales, I bridge scientific discovery and software engineering, defining technical roadmaps and delivering end-to-end solutions that empower researchers and businesses alike.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

AI Collection (Video)

Expert

AI Data Labelling

Expert

Hadoop

Expert

Language

English

Fluent

Work Experience

Computational Lead at Metrovate

May 1, 2024 - Present

Architecting a multi-cloud, microservices-based computational platform for de novo peptide design; orchestrating complex workflows (Target Prep, Docking, MD) using Nextflow, Python, and containerized environments (Docker). Scientific Integration: Integrating high-performance bioinformatics tools into a cohesive API-driven ecosystem to generate and screen bioactive protein digital twins for agricultural use. Strategic Leadership: Bridging the gap between biological discovery and software engineering, defining the technical roadmap, and overseeing the deployment of scalable AI/ML pipelines. Achievement: Designed and deployed the flagship “Digital Twin Pipeline”, reducing candidate design and discovery time from months to days by automating structural prediction and affinity scoring.

Sales Executive (Data Strategy Focus) at Cordis

September 1, 2023 - June 1, 2025

Process Automation: Engineered automated ETL pipelines using Python to scrape, clean, and consolidate fragmented sales data, reducing manual reporting time by 35%. BI: Developed interactive dashboards and queried CRM/PMS databases to identify high-value corporate segments, enabling data-driven targeting strategies. Account Management: Managed a portfolio of key corporate accounts, utilizing data insights to optimize revenue streams and improve client retention. Achievement: Surpassed monthly sales goals and contributed to an 8% revenue increase in the corporate segment by implementing a Python-backed lead scoring system.

Data Scientist at HelicoBio

August 1, 2021 - August 1, 2023

Full-Stack software development lifecycle for plant biology research tools, optimizing performance using Python and C++. Pipeline Engineering: Built and validated scalable data pipelines to analyze genomic data and protein function, directly supporting wet-lab experimental design. Cross-Functional Collaboration: Translated complex biological requirements into technical specifications, ensuring seamless deployment of new analysis functionalities. Achievement: Enhanced the protein screening workflow, reducing wet-lab validation cycles by 20% and accelerating the identification of viable candidates.

Scientific Editor (Freelance) at Enago

April 1, 2023 - December 1, 2023

Provide high-level substantive editing for scientific manuscripts, refining technical clarity, structure, and adherence to high-impact journal standards. Achievement: Consistently improved manuscript quality, contributing to a desk acceptance rate increase for client authors.

Scientific Editor (Freelance) at MDPI

April 1, 2018 - December 1, 2018

Provide high-level substantive editing for scientific manuscripts, refining technical clarity, structure, and adherence to high-impact journal standards.

Lab Assistant and Demonstrator at Massey University

August 1, 2018 - March 1, 2020

Developed Standard Operating Procedures (SOPs) for the Physics Lab and automated data analysis/reporting using Jupyter Notebooks, Pandas, and Matplotlib.

Data Scientist at EY (Ernst & Young)

August 1, 2016 - March 1, 2018

Financial Modelling: Designed and implemented complex mathematical models for banking clients (SAP environment) to optimize bond portfolios and address economic challenges. Security & Automation: Developed a Python module to parse, clean, and encrypt sensitive datasets, generating automated test cases for user training. Achievement: The automated Python module halved the time required to design and deploy new training sessions for banking staff.

Editorial / Scientific Editor at MDPI

April 1, 2018 - December 1, 2018

High-level substantive editing for scientific manuscripts, enhancing clarity and scientific rigor.

Data Scientist at EY (Ernst & Young) Colombia

August 1, 2016 - March 1, 2018

Financial Modelling: Designed and implemented complex mathematical models for banking clients (SAP environment) to optimize bond portfolios and address economic challenges. Security & Automation: Developed a Python module to parse, clean, and encrypt sensitive financial datasets, generating automated test cases for user training.