Profile Details

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Hire Dr. Jordan M.

Italy

USD 55 /hr

Computational Biophysicist & Bioinformatician | Expert in molecular simulations, data analytics and academic writing

Profile Summary

I am passionate about anything and everything to do with science. I am a highly motivated and adaptable scientist with a strong background in computational biophysics, bioinformatics, data analytics, protein chemistry and structural biology. My work style is proactive, focused, and I thrive in dynamic environments where I can take ownership of projects, quickly learn new techniques, and contribute meaningfully to cross-functional teams. One of my key strengths is my ability to integrate complex data and extract clear, actionable insights. I bring technical depth in molecular dynamics (GROMACS, OpenMM, PLUMED) and data analysis (Python, R), combined with strong scientific communication skills demonstrated through publications and international presentations. All my research thus far has been centered around proteins implicated in 'undruggable' diseases. I’m curious by nature and continuously seek opportunities to learn and grow, especially at the interface of computational and experimental sciences. I take pride in being both a hard worker and an open collaborator, and I’m excited to apply these qualities to solve challenging problems with real-world impact.

Subject Matter Expertise

• ★ Biophysics
• ★ Data Analysis
• ★ Technical & Scientific Writing
• ☆ Computational Biology
• ☆ Biostatistics
• ☆ Biochemistry
• ☆ Structural Biology
• ☆ Molecular Biology
• ☆ Chromatin
• ☆ Cell Biology
• ☆ Membrane Biology
• ☆ Gene Regulation
• ☆ Biotechnology & Bioengineering
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Cluster Analysis
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Collection
• ☆ Data Management
• ☆ Data Manipulation
• ☆ Data Cleaning
• ☆ Data Architecture
• ☆ Pattern Recognition
• ☆ Statistics
• ☆ Comparative Analysis
• ☆ Bioinformatics
• ☆ Gene & Protein Expression Analysis
• ☆ Systems Biology
• ☆ Structural Bioinformatics
• ☆ Information Retrieval
• ☆ Python
• ☆ LaTex
• ☆ Scikit-learn
• ☆ Hypothesis
• ☆ Peer Review
• ☆ Research Methodology
• ☆ Science Communication

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Medical Writing, Technical Writing, Creative Writing, Newswriting, Audio Transcription, General Proofreading & Editing

Research Meta-Research, Fact Checking, Gap Analysis, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Analysis, Data Visualization, Big Data Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

Work Experience

Post-Doctoral Researcher

University of Naples Federico II

September 2024 - September 2025

Research Assistant

The University of Auckland

June 2024 - September 2024

Teaching Assistant

The University of Auckland

February 2024 - July 2024

Professional Casual Staff

The University of Auckland

March 2024 - June 2024

Education

Doctor of Philosophy (Chemistry)

University of Auckland

June 2020 - April 2024

Bachelor of Science

University of Canterbury

January 2016 - November 2019

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Jordan A. P. McIvor, Danaé S. Larsen, Davide Mercadante (2024). Charge Relaying within a Phospho-Motif Rescue Binding Competency of a Disordered Transcription Factor . Journal of Chemical Information and Modeling.

Sveinn Bjarnason, Jordan A. P. McIvor, Andreas Prestel, Kinga Demény, Jakob Tómas Bullerjahn, Birthe Kragelund, Davide Mercadante, Pétur Heidarsson (2024). DNA binding redistributes activation domain ensemble and accessibility in pioneer factor Sox2 . Nature Communications.

Jordan McIvor, Karin J. Buholzer, Franziska Zosel, Christian Teppich, Daniel Nettels, Davide Mercadante, Benjamin Schuler (2022). Multilayered allosteric modulation of coupled folding and binding by phosphorylation, peptidyl-prolyl cis/trans isomerization, and diversity of interaction partners . The Journal of Chemical Physics.

Simulating Polyproline II-Helix-Rich Peptides with the Latest Kirkwood–Buff Force Field: A Direct Comparison with AMBER and CHARMM <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . The Journal of Physical Chemistry B.

Buholzer, K.J., McIvor, J., Zosel, F., Teppich, C., Nettels, D., Mercadante, D., Schuler, B.(2022). Multilayered allosteric modulation of coupled folding and binding by phosphorylation, peptidyl-prolyl cis / trans isomerization, and diversity of interaction partners . Journal of Chemical Physics. 157. (23).

McIvor, J.A.P., Larsen, D.S., Mercadante, D.(2022). Simulating Polyproline II-Helix-Rich Peptides with the Latest Kirkwood-Buff Force Field: A Direct Comparison with AMBER and CHARMM . Journal of Physical Chemistry B. 126. (40). p. 7833-7846.

BOOK CHAPTER

Bjarnason, S., Ruidiaz, S.F., McIvor, J., Mercadante, D., Heidarsson, P.O.(2021). Protein intrinsic disorder on a dynamic nucleosomal landscape . Progress in Molecular Biology and Translational Science. 183. p. 295-354.