Profile Details

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USD 100 /hr

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Hire Dr. Stephen C.

United Kingdom

USD 100 /hr

quantitative systems pharmacologist for hire

Profile Summary

experienced, interdisciplinary scientist with extensive life sciences R&D experience in systems biology modelling and data science.

Subject Matter Expertise

• ☆ Computational Biology
• ☆ Microbiology
• ☆ Microbiome Research
• ☆ Mathematical Biology
• ☆ Molecular Biology
• ☆ Biomarkers
• ☆ Molecular Cloning
• ☆ DNA Damage & Repair
• ☆ Biotechnology & Bioengineering
• ☆ Bioinformatics
• ☆ Systems Biology
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Differential Equations
• ☆ Synthetic Biology
• ☆ Information Retrieval
• ☆ Python
• ☆ Matlab
• ☆ Excel
• ☆ LaTex
• ☆ R
• ☆ Markup Languages
• ☆ Drug Discovery
• ☆ Drug Target Identification
• ☆ Preclinical Research

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research Feasibility Study, Technology Scouting, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Data Visualization, Data Cleaning, Data Processing, Data Insights

Work Experience

senior research software engineer

UK Research and Innovation

March 2023 - Present

research scientist

Certara UK Limited

February 2020 - December 2022

data scientist

Science and Technology Facilities Council

June 2017 - January 2020

research scientist

Certara UK Limited

August 2016 - June 2017

computational biologist

Science and Technology Facilities Council

December 2015 - August 2016

senior scientist

AstraZeneca UK Ltd

March 2012 - June 2015

Education

Systems Biology

University of Manchester

September 2007 - June 2011

B.Sc. Hons Microbiology

Liverpool John Moore's University

September 1996 - June 2000

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Barjat, H., Checkley, S., Chitu, T., Dawson, N., Farshchi, A., Ferreira, A., Gamble, J., Leane, M., Mitchell, A., Morris, C., et al.(2020). Demonstration of the Feasibility of Predicting the Flow of Pharmaceutically Relevant Powders from Particle and Bulk Physical Properties . Journal of Pharmaceutical Innovation.

Gardiner, L.-J., Carrieri, A.P., Wilshaw, J., Checkley, S., Pyzer-Knapp, E.O., Krishna, R.(2020). Using human in vitro transcriptome analysis to build trustworthy machine learning models for prediction of animal drug toxicity . Scientific Reports. 10. (1).

Checkley, S., MacCallum, L., Yates, J., Jasper, P., Luo, H., Tolsma, J., Bendtsen, C.(2016). Corrigendum: Bridging the gap between in vitro and in vivo: Dose and schedule predictions for the ATR inhibitor AZD6738 . Scientific Reports. 6.

(2015). Bridging the gap between in vitro and in vivo: Dose and schedule predictions for the ATR inhibitor AZD6738 . Scientific reports.

Checkley, S., Maccallum, L., Yates, J., Jasper, P., Luo, H., Tolsma, J., Bendtsen, C.(2015). Bridging the gap between in vitro and in vivo: Dose and schedule predictions for the ATR inhibitor AZD6738 . Scientific Reports. 5.