Bioinformatics scientist Work, Jobs in Tooting, Gtl (with Salaries)

Bioinformatics Data Scientist
Engitix —London
- AWS
- Machine learning
- Scripting
Quick apply
7d
Research Fellow - Bioinformatics – Extrachromosomal DNA and tumour evolution Scientist
University College London —London
- £43,981 - £52,586 a year
- Full-time
- Doctoral degree
- Data analysis skills
- C++
- Annual leave
- Employee assistance programme
11d
Research Associate - Epidemiology
Imperial College London —White City
- £49,017 - £57,472 a year
- Full-time
7d
Technical Application Scientist, Europe/UK
Parse Biosciences —London
- Remote
- Google Suite
- Data analysis skills
- Microsoft Office
Quick apply
14d
Research Technician / Scientific Officer – LUMES (LUng cancer Metastasis Evolutionary Studies)
University College London —London
- £36,433 - £41,833 a year
- Full-time
- Doctoral degree
- Laboratory experience
- Master's degree
- Annual leave
- Employee assistance programme
6d
Field Application Scientist - Nordics/UK
Parse Biosciences —London
- Laboratory experience
- University
- Bachelor's degree
Quick apply
7d
Research Assistant
Pirbright Institute —Pirbright
- Laboratory experience
- Microsoft Office
- Master's degree
- Free parking
- Annual leave
Quick apply
1d
Scientist II (TEMPORARY)
BioMarin —London
- Temporary
- Doctoral degree
- Python
Research Associate in Phage Biology and Bacterial Immunity
Imperial College London —South Kensington
- £43,863 - £57,472 a year
- Full-time
- Doctoral degree
- Data analysis skills
- Communication skills
20h
Research Fellow in Brain Vascular Biology and Brain Cancer Biology
University College London —London
- £43,374 - £51,860 a year
- Full-time
- Doctoral degree
- English
- University
- Annual leave
- Employee assistance programme
Lecturer in Cardiovascular or Metabolic Neuroscience
University College London —London
- £54,931 - £64,644 a year
- Full-time
- Doctoral degree
- Teaching
- Annual leave
- Employee assistance programme
4d
Senior Scientist (Laboratory Data Systems), Global Technical Development
Orchard Therapeutics —London
- Full-time
- Laboratory experience
- Java
- SQL
Quick apply
Production Sequencing Lead
Basecamp Research —London
- Full-time
- Laboratory experience
- Analysis skills
- Leadership
Quick apply
19h
Software Developer - Biology
Helical —London
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
Quick apply
Project Manager – LUMES (LUng cancer Metastasis Evolutionary Studies)
University College London —London
- £54,931 - £64,644 a year
- Full-time
- Doctoral degree
- Data analysis skills
- Laboratory experience
- Annual leave
- Employee assistance programme
6d
Director of Science
MyHeritage —London
- Doctoral degree
- AWS
- Machine learning
Quick apply
Data Science Lead 1
UCB —Slough
- Hybrid work
- Master's degree
- Bachelor's degree
- Travel
Founding Software Engineer
Substrate Bio —London
- Full-time
- Hybrid work
- APIs
- AI
- Python
- Annual leave
Quick apply

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Research Fellow - Bioinformatics – Extrachromosomal DNA and tumour evolution Scientist
University College London —London
TRACERx involves multi-region sequence analyses of lung cancers (5000+ exomes and whole genomes in over 800 patients) from pre-invasive through to primary and…
£43,981 - £52,586 a year
11d

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Bioinformatics Data Scientist

Engitix
London

Quick apply

Job details

7 days ago

Benefits

Company pension
Private medical insurance

Qualifications

R
AWS
Machine learning
Scripting
Regression analysis
Cloud computing
AI
Communication skills
Python
Time management

Full job description

Your mission

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.

We are seeking a Bioinformatician to join the Data Sciences team, supporting a diverse portfolio of internal and collaborative research programmes. The role will work closely with cross-functional teams across translational and computational biology, with a primary focus on fibrosis and oncology research.

The successful candidate will contribute to the analysis and interpretation of complex multi-dimensional datasets, integrating clinical and molecular data to support research and therapeutic development across the portfolio. Working as part of a highly collaborative and multidisciplinary team, the role will support programmes focused primarily on fibrosis and oncology. The ideal candidate will be self-motivated, proactive, and collaborative, with strong scientific curiosity, enthusiasm, and a commitment to delivering high-quality research.

Key responsibilities:

Collaborate with Engitix scientists and external partners to design and implement analytical strategies, deliver biological insights and high quality data visualisations
Work closely with multidisciplinary teams to refine scientific questions, communicate analytical approaches and findings, and support decision-making across research programmes
Develop, maintain, and optimise 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

Your profile

In addition to strong communication, organisational, and time management skills, you will have:

A postgraduate degree in Bioinformatics, Computational Biology, Biostatistics, or a related quantitative discipline with 3+ years experience working in industry or a demonstrated record of top-tier publications
Strong programming and scripting skills in R and Python
Previous experience of performing bulk transcriptomics analysis and 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

Desirable experience:

Experience applying modern AI/ML methods to complex biological or biomedical datasets
Familiarity with quantitative proteomics and mass spectrometry-based technologies(e.g. LFQ and TMT)
Experience working with cloud computing platforms (e.g. AWS) and workflow management systems (e.g. Nextflow)

Why us?

Be part of a motivated, dynamic team supporting cutting edge drug discovery
Constant opportunities to learn, grow, and explore the many opportunities for data science to have impact on drug discovery and development
State of the art offices at The Westworks, White City London
Competitive reward package including private medical insurance, bonus, pension, and much more!

About us

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.

Quick apply

Refine Your Search

bioinformatics scientist jobs in tooting, gtl

Bioinformatics Data Scientist

Research Fellow - Bioinformatics – Extrachromosomal DNA and tumour evolution Scientist

Research Associate - Epidemiology

Technical Application Scientist, Europe/UK

Research Technician / Scientific Officer – LUMES (LUng cancer Metastasis Evolutionary Studies)

Field Application Scientist - Nordics/UK

Research Assistant

Scientist II (TEMPORARY)

Research Associate in Phage Biology and Bacterial Immunity

Research Fellow in Brain Vascular Biology and Brain Cancer Biology

Lecturer in Cardiovascular or Metabolic Neuroscience

Senior Scientist (Laboratory Data Systems), Global Technical Development

Production Sequencing Lead

Software Developer - Biology

Project Manager – LUMES (LUng cancer Metastasis Evolutionary Studies)

Director of Science

Data Science Lead 1

Founding Software Engineer

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