Bioinformatics Data Scientist at Engitix Therapeutics | England, GB | Rezi

Bioinformatics Data Scientist at Engitix Therapeutics

Bioinformatics Data Scientist

Engitix Therapeutics · England, GB

2 weeks ago

Bioinformatics Data Scientist

Engitix Therapeutics · England, GB

21 days ago
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About the Role

Engitix Therapeutics is seeking a Bioinformatician to join the Data Sciences team, supporting a diverse portfolio of research programmes. The role will work closely with cross-functional teams, focusing on fibrosis and oncology research. The successful candidate will analyze and interpret complex multi-dimensional datasets, integrating clinical and molecular data to support therapeutic development.

Responsibilities

  • Collaborate with scientists and external partners to design and implement analytical strategies, deliver biological insights, and create high-quality data visualizations.
  • Work closely with multidisciplinary teams to refine scientific questions, communicate analytical approaches and findings, and support decision-making across research programmes.
  • Develop, maintain, and optimize scalable and reproducible bioinformatics analysis pipelines.
  • Apply and develop analytical approaches for the integration, analysis, and interpretation of complex multi-modal biological and clinical datasets.
  • Contribute to computational strategy and best practices in data management, reproducibility, documentation, and FAIR data principles.
  • Support bioinformatics activities across a diverse portfolio of fibrosis- and oncology-focused programmes.

Requirements

  • A postgraduate degree in Bioinformatics, Computational Biology, Biostatistics, or a related quantitative discipline.
  • 3+ years of experience working in industry or a demonstrated record of top-tier publications.
  • Strong programming and scripting skills in R and Python.
  • Previous experience performing bulk transcriptomics analysis.
  • Experience with at least one of: Single-cell and/or spatial transcriptomics, Molecular imaging and spatial proteomics, Multi-omics integration and analysis.
  • Strong foundation in statistics and/or machine learning, with experience applying methods such as regression, classification, clustering, dimensionality reduction, and survival analysis.
  • Ability to work effectively in a collaborative, cross-functional research environment.
  • Experience supporting translational research programmes in fibrosis or oncology, desirable in IBD.
  • Experience collaborating with external partners or working in multidisciplinary project teams.

Skills

  • R
  • Python
  • Bulk transcriptomics analysis
  • Single-cell transcriptomics
  • Spatial transcriptomics
  • Molecular imaging
  • Spatial proteomics
  • Multi-omics integration
  • Statistics
  • Machine learning
  • Regression
  • Classification
  • Clustering
  • Dimensionality reduction
  • Survival analysis
  • AI/ML methods
  • Quantitative proteomics
  • Mass spectrometry
  • LFQ
  • TMT
  • Cloud computing platforms
  • AWS
  • Nextflow

Location

  • London

Work Type

  • Full-time

Experience Level

  • 3+ years

Education Level

  • Postgraduate degree

Benefits

  • Private medical insurance
  • Bonus
  • Pension

About the Company

  • Engitix Therapeutics is a London-based biotechnology company unlocking the extracellular matrix (ECM) as a source of novel therapeutic targets for fibrosis and cancer.
  • Our proprietary platform integrates proteomics, and transcriptomics data on patient tissue samples with rich clinical metadata to identify and validate targets in the tumour microenvironment and fibrotic tissue.
  • Engitix is a growing biotech company based in White City Place, West London.
  • We are dedicated to developing better therapies for advanced fibrosis and solid tumours by leveraging our pioneering extracellular matrix (ECM) platform.
  • Our platform allows the synthesis of realistic in vitro 3D models that serve as tools to transform our ability to identify new targets and biomarkers, determine mechanisms of action and more accurately predict the efficacy of therapeutic candidates.
  • Join us today in our mission to create a healthier future for patients with life-threatening diseases such as fibrosis and cancer.