Bioinformatics Analyst - Abingdon, Oxfordshire, United Kingdom - Immunocore

Description

IMCR) is a pioneering, commercial-stage T cell receptor biotechnology company whose purpose is to develop and commercialize a new generation of transformative medicines which address unmet patient needs in oncology, infectious diseases and autoimmune disease. Our leaders in R&D are internationally recognised as some of the biotech industry's most successful drug developers.

We are creating not just an environment where great minds can interact but an innovation powerhouse answering the big questions.

Focused on delivering first-in-class biological therapies to patients, we have developed a highly innovative soluble TCR platform.

Our ImmTAX molecules underpin a new generation of precision engineered drugs that harness the immune system to treat a broad spectrum of diseases with high unmet medical need, including oncology, infectious diseases and autoimmune diseases.

We strive to create a diverse and inclusive workplace, while seeking talented individuals to work with us across the many functions that will allow us to deliver new medicines to transform the lives of patients.

You will work with outstanding people who together pioneer the research, development and commercialization of bi-specific TCR therapies.

We aim to create an environment where individual contributions and initiatives can be maximized, while fostering a culture of collaboration, based on respect and integrity.

We want each individual employee to own their career, as part of high-performing teams, and in the context of on-the-job and formal continuous development and training, as well as constructive feedback.

We always strive to identify ways to improve what we do and how we do it, by asking questions, voicing opinions, exploring various approaches and staying connected with healthcare professionals, patients, academia and other key partners.

To provide focused bioinformatics expertise to support the analysis and data management of mass spectrometry-based data. This individual will develop tools to assist the proteomics department with the analysis of large immunopeptidomic datasets.

In addition, the individual will work closely with the Data Science team to maintain and develop the HLA peptide database and associated tools which permit integration with transcriptomics/genomics data sources.

The Proteomics Bioinformatician will be a point of communication for access to proteomics data and bespoke analytics for the wider Research team.

Work with the Data Science and Proteomic teams to maintain a database of HLA peptides based on in house mass spectrometry data.

• Develop tools and workflows to help the Proteomics department (and other departments across the organization) interrogate the data present in the HLA peptide database and any other data generated by mass spectrometry.
• Test and develop tools to allow for the analysis of large Proteomics/Immunopeptidomics datasets.
• Benchmark new software (both commercial and open source) for the analysis of mass spectrometry data.
• Develop and implement tools to perform quality control analysis of proteomics and mass spectrometry data.
• Support and advance our machine learning strategy in order to make predictions based on our immunopeptidomic data.

Strong proficiency with Python, Linux OS and shell scripting bash

• Familiarity with cloud infrastructures, particularly Amazon Web Services
• Theoretical and practical experience with the analysis of mass spectrometry/ Proteomics data
• Skilled in the application of advanced techniques for statistical analysis and data interrogation and interpretation, such as dimensionality reduction algorithms
• Familiarity with variety of publicly available functional annotation tools (GO, KEGG, COG), clustering analysis, protein-protein interaction analysis, pathway analysis, proteome and genome databases.
• Excellent communication skills, oral and written, to explain complex bioinformatic analysis to non-experts
• Understanding of molecular biology, cell biology, immunology or related discipline.
• Significant experience of independent research in academic or industrial setting, or transferable skills gained from professional experience
• Presented detailed scientific findings and papers to internal and external audiences
• Mentored and coached less experienced colleagues in scientific practices and theory

Hands on experience with software for the analysis of mass spectrometry data, such as but not limited to PEAKS, Proteome Discoverer, MaxQuant, Skyline, ProteinPilot

• Led a project small team, formally or informally, including project management
• May have experience of developing databases, using SQL or similar, and pairing with a user-friendly interface
• May have experience of building next generation sequencing (NGS) analytical pipelines

Essential:
MSc. in molecular biology, cell biology and/or immunology or related discipline with additional year's post doc/industrial experience in relevant field.

Desirable:
PhD in related discipline. Additional post doc/industrial experience is desirable. #