Stephen Checkley

Systems Biologist for hire | contact

Experienced in R, Matlab & Python, as well as molecular and microbiology. I have experience in both experimental and computational fields, building complex molecular biology circuitry in microorganisms alongside mechanistic models of biological systems. I have applied my mathematical biology experience in quantitative systems pharmacology for the pharmaceutical industry as well as scientific programming to support life sciences researchers with data processing, analysis and high-performance computing pipelines.

I am looking for projects that can leverage my scientific problem solving experience with the application of modelling, simulation, and data analysis.


Research Scientist

Certara Simcyp

I provide scientific programming support to researchers building quantitative systems pharmacology models for the pharmaceutical industry.

2020 - current

Research Scientist

Science and Technology Facilities Council (STFC)

I delivered consultancy projects in collaboration with IBM Research, promoting the application of machine learning and data science in UK industry.

2017 - 2020

Research Scientist

Certara Simcpy

I developed mathematical models of neutropenia to support immuno-oncology quantitative systems pharmacology projects.

2016 - 2017

Research Scientist

Science and Technology Facilities Council (STFC)

Working in collaboration with IBM Research, I was responsible for identifying opportunities for applying high-performance computing to genomics projects in UK industry.

2015 - 2016

Senior Scientist


Working primarily in the oncology disease area, I developed quantitative systems pharmacology models in collaboration with high throughput experimental scientists, DMPK modellers, and clinical teams. My work was applied to phase 1 clinical trials to enable dose scheduling and drug efficacy prediction.

2012 - 2015


University of Manchester

Systems Biology PhD
Completed 2011

Liverpool John Moore's University

Microbiology B.Sc (hons)

Completed 2000


Programming Languages
  • Python
  • R
  • Matlab

  • Scikit Learn
  • Apache Airflow
  • Cytoscape
  • Copasi
  • SimBiology
  • Git
  • LaTeX and Markdown
  • tkinter