Bioinformatics scientist Work, Jobs in Eng (with Salaries)

Bioinformatics Data Scientist
Engitix —London
- AWS
- Machine learning
- Scripting
Quick apply
10d
Research Associate (Phylogenomics)
Kew Gardens —Kew Gardens
- £41,205 a year
- Full-time
- Remote
- Doctoral degree
- Annual leave
- Employee assistance programme
Laboratory Research Assistant
Kew Gardens —Kew Gardens
- £34,216 a year
- Full-time
- Doctoral degree
- Laboratory experience
- Annual leave
- Employee assistance programme
10d
Postdoctoral Research Associate (PDRA)
Kew Gardens —Kew Gardens
- £39,243 - £42,153 a year
- Full-time
- Remote
- Doctoral degree
- Presentation skills
- Scripting
- Annual leave
- Employee assistance programme
10d
Postdoctoral Research Scientist in Bioinformatics
University of Oxford —Oxford
- £39,424 - £47,779 a year
- Full-time
- Hybrid work
- Doctoral degree
- Communication skills
- Python
- Annual leave
- Employee assistance programme
14d
Science Project Intern
Kew Gardens —Kew Gardens
- £25,579 a year
- Full-time
- University
- Annual leave
- Employee assistance programme
9d
Research Assistant/ Associate in Translational Cancer Research
Newcastle University —Newcastle upon Tyne
- £33,951 - £35,608 a year
- Full-time
- Doctoral degree
- Laboratory experience
- University
9d
Bioinformatics Scientist
Basecamp Research —London
- Full-time
- Doctoral degree
- Master's degree
- C++
- Life insurance
Quick apply
4d
In Vitro Toxicology Scientist
British American Tobacco —Southampton
- Microsoft Powerpoint
- Continuous improvement
- Travel
4h
Senior Scientist - Molecular Diagnostics (R&D)
TOGL (Holdings) Limited —Cambridge
- Full-time
- Doctoral degree
- Data analysis skills
- Laboratory experience
- Annual leave
Quick apply
10d
Data Scientist Assistant
University of Oxford —Oxford
- £35,681 - £45,212 a year
- Full-time
2d
Field Application Scientist - Nordics/UK
Parse Biosciences —Oxford
- Laboratory experience
- University
- Bachelor's degree
Quick apply
Senior Machine Learning Scientist
Flagship Pioneering, Inc. —Cambridge
- Doctoral degree
- Master's degree
- Machine learning
Software Developer - Biology
Helical —London
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- Master's degree
Quick apply
Research Associate (Bioinformatician)
Newcastle University —Newcastle upon Tyne
- £36,636 - £38,784 a year
- Part-time
- Doctoral degree
- University
- IT
10d
Scientist II
OGT —Oxford
- Doctoral degree
- Bachelor's degree
- IT
- Employee discount
Quick apply
Experienced In Vitro Toxicology Scientist
British American Tobacco —Southampton
- Microsoft Powerpoint
- Project management
- Continuous improvement
4h
Technical Application Scientist, Europe/UK
Parse Biosciences —London
- Remote
- Google Suite
- Data analysis skills
- Microsoft Office
Quick apply
Postdoctoral Research Scientist in Immunology
University of Oxford —Oxford
- £39,424 - £53,483 a year
- Full-time
- Doctoral degree
- Laboratory experience
14d
Senior Bioinformatics Scientist
Basecamp Research —London
- Full-time
- Doctoral degree
- Master's degree
- Bachelor's degree
- Life insurance
Quick apply
5d

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Bioinformatics Data Scientist

Engitix
London

Quick apply

Job details

10 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 eng

Bioinformatics Data Scientist

Research Associate (Phylogenomics)

Laboratory Research Assistant

Postdoctoral Research Associate (PDRA)

Postdoctoral Research Scientist in Bioinformatics

Science Project Intern

Research Assistant/ Associate in Translational Cancer Research