2663010 London Platforms & Technology Permanent Employee Bioinformatics Data Scientist Your mission  
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

• 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!  

]]> permanent experienced full-time general_and_other_r_and_d_and_science r_and_d_and_science 2026-06-09T11:26:54+00:00 2655116 London CMC Permanent Employee CMC Analytical Lead Your mission
Experience supporting biologics programs is required, and experience with Antibody-Drug Conjugates (ADCs) is highly desirable.

Key Responsibilities:

• Lead analytical CMC activities for early-stage biologics and/or ADC programs, with oversight of analytical development and QC activities at CDMOs and external laboratories
• Serve as the primary analytical lead for CDMO interactions, managing technical execution, timelines, deliverables, and cross-functional coordination across CMC, quality, regulatory, manufacturing, and clinical supply teams
• Oversee analytical method development, qualification, transfer, and lifecycle management for drug substance and drug product programs
• Provide analytical oversight of QC activities including release and stability testing, characterization, reference standards, investigations, deviations, and change controls
• Develop phase-appropriate analytical control strategies, including specification setting and justification, to support clinical development and regulatory requirements
• Lead stability strategy and data review to support shelf-life and retest period assignments
• Review analytical data to support process development, comparability, process characterization, investigations, and regulatory submissions
• Author and review analytical CMC sections for INDs and other regulatory submissions, including specifications, analytical methods, qualification/validation summaries, comparability, and stability documentation
• Support regulatory interactions and ensure analytical activities comply with GMP, ICH, and global regulatory expectations
• Identify analytical and operational risks related to external execution and implement mitigation strategies to support program timelines and milestones

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Advanced degree (M.S., Ph.D.) in Analytical Chemistry, Biochemistry, Pharmaceutical Sciences, or related scientific discipline preferred

8+ years experience in analytical development within biologics, large molecule, or bioconjugate CMC environments, or equivalent

Strong expertise in analytical characterization techniques for proteins and biologics

Experience overseeing QC testing, analytical outsourcing, and CDMO management

Demonstrated experience with analytical method development, qualification, transfer, and troubleshooting

Experience supporting stability programs, specification setting, and control strategy development

Working knowledge of early-phase regulatory expectations and IND-enabling activities

Experience authoring and reviewing analytical sections of IND submissions

Experience with ADCs is a strong plus

Experience with small-molecule analytics, including linker-payload characterization, is a plus

Strong project management, communication, and cross-functional collaboration skills

]]> Why us?

Be part of a pioneering biotech transforming drug discovery through ECM biology

Work in a collaborative, fast-paced environment with opportunities to shape the future of targeted therapeutics

We offer a competitive package including private medical insurance, pension, bonus, employee perks and more

]]> permanent experienced full-time general_and_other_r_and_d_and_science r_and_d_and_science 2026-06-02T15:59:25+00:00