Skip to main content
Sam Mindham

Sam Mindham

Motivated and research-driven graduate with a strong background in transcriptomics, bioinformatics, and systems biology

Talent
HuddersfieldMember since June 3, 2026
PythonBash scriptingHPC systemsSTARFastQCIGVSTRINGDESeq2edgeRMachine learning (GLM, logistic regression)Network analysisClusteringLogical/ODE modellingMetabolic modellingStructural bioinformaticsRNA-seq pipelinesNGS data processingPathway enrichmentTranscriptomic QCJournal club presentationsPoster preparationMultidisciplinary teamworkData visualisationDatabases
·

Hire this person

Send a job offer directly to this candidate

PythonBash scriptingHPC systemsSTARFastQC

About

Motivated and research-driven graduate with a strong background in transcriptomics, bioinformatics, and systems biology. Experienced in RNA-seq analysis, HPC computing, and statistical modelling, with a developing interest in the integration of genomic and epigenomic datasets to investigate complex disease mechanisms. Seeking to apply computational and molecular biology expertise in a PhD environment, with a particular focus on cancer genomics and data integration.

Experience

Summer Research Internship - Newcastle University - Newcastle University

(2024-06 - 2024-09)

Supervisor: Dr Simon Cockell

  • Analysed single-cell RNA-seq datasets to investigate genetic mechanisms underlying MASLD
  • Conducted preprocessing, QC, and downstream analysis using R and STRING
  • Produced a scientific poster (Transcriptomic analysis of single-cell RNA-seq in MASLD), prepared for internal dissemination

Undergraduate Dissertation Project - Newcastle University - Newcastle University

(2025-01 - 2025-05)

  • Conducted RNA-seq analysis of mouse Cep290 mutant models of cystic kidney disease
  • Utilised HPC servers, Bash scripting, and R for large dataset processing
  • Performed differential expression and pathway enrichment analyses; generated correlation heatmaps and gene set enrichment analyses
  • Explored predictive models (GLM, logistic regression) to classify wild-type vs mutant samples
  • Tools: FastQC, STAR, IGV, R (DESeq2, edgeR)
  • Presented findings in journal clubs; collaborated with postdocs and peers in a multidisciplinary team

Education

MSc - Bioinformatics & Systems Biology - University of Manchester (2025-09 - 2026-09)

BSc - Physiological Sciences - Newcastle University (2022-09 - 2025-05)

A Levels - Biology (A), Chemistry (A), Mathematics (A) (2022-06 - 2022-06)

Skills

bioinformaticsand systems biology

Reviews

Related