Computational chemists & biologists Work, Jobs in Tulse Hill, Gtl (with Salaries)

Bioinformatics Data Scientist
Engitix —London
- AWS
- Machine learning
- Scripting
Quick apply
8d
Science Project Intern
Kew Gardens —Kew Gardens
- £25,579 a year
- Full-time
- University
- Annual leave
- Employee assistance programme
7d
Computational Chemist
ICR —Sutton
- £50,825 - £53,500 a year
- Doctoral degree
8d
Research Associate
Imperial College London —South Kensington
- £43,863 - £57,582 a year
- Full-time
- Doctoral degree
- University
- Machine learning
Scientist
Genomics —London
- Full-time
- Hybrid work
- Machine learning
- Python
- Annual leave
AI Scientist
Mater-AI Limited —London
- £50,000 - £55,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- English
Quick apply
9d
Research Associate in Computational Biomolecular Physics
Imperial College London —South Kensington
- Full-time
- Doctoral degree
- Analysis skills
- University
1d
Senior Biostatistician
Everest Clinical Research —Croxley Green
- Remote
- Doctoral degree
- Master's degree
- Project management
- Work from home
Quick apply
Principal Computational Methodologist (UK)
UCB —Slough
- Doctoral degree
- Computer Science
- Engineering
Founding Member of Technical Staff
Immunara —London
- £150,000 - £300,000 a year
- Full-time
Quick apply
Senior Scientist
Genomics —London
- Full-time
- Hybrid work
- Python
- Annual leave
Feasibility Informatics Analyst
Medpace, Inc. —London
- Full-time
- Computer Science
- Engineering
- Master's degree
- Annual leave
14d
Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R)
サイネオス・ヘルス —London
- £80,600 - £175,700 a year
- English
- Bachelor's degree
- No degree
- Employee stock purchase plan
- Annual leave
Research Associate in AI-enhanced Molecular Dynamics to Study Antibiotic Accumulation in Bacteria
Imperial College London —White City
- £49,017 - £57,472 a year
- Full-time
- Doctoral degree
- University
- Machine learning
Research Scientist, Protein Design, DeepMind
DeepMind —London
- Doctoral degree
- Laboratory experience
- Machine learning
6d
Career Development Fellow
UK Research and Innovation (UKRI) —London
- £42,694 a year
- Weekend availability
- Doctoral degree
- Computer Science
- Bachelor's degree
17h
Bioinformatics Scientist
Basecamp Research —London
- Full-time
- Doctoral degree
- Master's degree
- C++
- Life insurance
Quick apply
2d
Associate Director, Statistical Programming
Novartis —London
- £67,900 - £126,100 a year
- Full-time
- Hybrid work
- Nursing
- Computer Science
- Organisational skills
Sr Programmer Sr Data Scientist/Analyst OMOP (NA & UK Only)
サイネオス・ヘルス —London
- Master's degree
- SQL
- Machine learning
- Employee stock purchase plan
- Annual leave
Principal Statistician Oncology with Submission Experience
サイネオス・ヘルス —London
- Doctoral degree
- English
- Travel

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Bioinformatics Data Scientist

Engitix
London

Quick apply

Job details

8 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

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computational chemists & biologists jobs in tulse hill, gtl

Bioinformatics Data Scientist

Science Project Intern