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Profile Details
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USD 75 /hr
Hire Dr. Faraz K.
United Kingdom
USD 75 /hr

Data Analyst | Bioinformatician | Python, R, Bash. Journal writer with 5+ years experience in scientific research.

Profile Summary
Subject Matter Expertise
Writing Technical Writing
Research Market Research, User Research, Meta-Research, Feasibility Study, Fact Checking, Gap Analysis, Gray Literature Search, Systematic Literature Review, Secondary Data Collection
Consulting Scientific and Technical Consulting
Data & AI Predictive Modeling, Statistical Analysis, Data Visualization, Big Data Analytics, Data Processing, Data Insights
Product Development Formulation, Product Evaluation, Concept Development, Prototyping
Work Experience


Queen Mary University of London

March 2019 - Present

Postdoctoral Research Associate in Bioinformatics

National Institute of Agricultural Botany

November 2017 - February 2019


PhD (Biosciences)

University of Nottingham

December 2012 - July 2017

MRes (Advanced Genomic and Proteomic Sciences)

University of Nottingham

September 2011 - December 2012

  • Certification details not provided.
Faraz Khan, Chinedu Anthony Anene, Findlay Bewicke-Copley, Eleni Maniati, Jun Wang (2021). ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles . Patterns.
Donato Iacovazzo, Lim Chung Thong, Rosana Quezado, Juliana Drummond, de Sousa Barros Fernando Antonio, Joyceline Cuenco, Michael Brändle, Emily Walker, Min Guo, et al., Faraz Khan(2020). The MAFA gene mutation responsible for familial insulinomatosis and diabetes impairs insulin secretion and results in downregulation of critical cell cycle regulators . Endocrine Abstracts. Bioscientifica
Faraz Khan, Wei Cong, Tania Dottorini, Richard D. Emes, Fu-Kai Zhang, Chun-Xue Zhou, Jun-Jun He, Xiao-Xuan Zhang, Hany M. Elsheikha, Xing-Quan Zhu (2018). Acute Toxoplasma Gondii Infection in Cats Induced Tissue-Specific Transcriptional Response Dominated by Immune Signatures . Frontiers in Immunology.
Faraz Khan, Hui Chai, Ishan Ajmera, Charlie Hodgman, Sean Mayes, Chungui Lu(2017). A Transcriptomic Comparison of Two Bambara Groundnut Landraces under Dehydration Stress . Genes. 8. (4). p. 121. {MDPI} {AG}
F. Khan, R. Azman, H.H. Chai, S. Mayes, C. Lu(2016). Genomic and transcriptomic approaches towards the genetic improvement of an underutilised crops: The case of Bambara groundnut . African Crop Science Journal. 24. (4). p. 429. African Journals Online ({AJOL})
S. Mayes, S.M. Basu, O. Molosiwa, E.S. Redjeki, N.S. Ahmad, F. Khan, S. Zehra, S. Noah, K. Mayes, J. Roberts, et al.(2013). MOLECULAR ANALYSIS OF BAMBARA GROUNDNUT, AN UNDERUTILISED AFRICAN LEGUME CROP AS PART OF THE BAMLINK PROJECT - WHAT LESSONS CAN WE LEARN? . Acta Horticulturae. (979). p. 451--458. International Society for Horticultural Science ({ISHS})