Biomedical Scientist Immunology jobs

Immunocore (NASDAQ: 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.

At Immunocore, we recognize that our employees are our greatest asset. We value the unique contributions each person brings to our team. By embracing Science, Trust, Respect, Integrity, Diversity, and Entrepreneurship (STRIDE), we create an environment where collaboration thrives, ideas flourish, and transformative changes happen. STRIDE represents more than just letters; it embodies our shared identity and drives our mission. We are dedicated to developing breakthrough therapies that transform patients' lives, advancing medicine, and supporting one another in these pursuits.

Immunocore is proud to be an equal opportunity employer. As such, we are committed to fostering an inclusive workplace where everyone feels valued, respected, and empowered. We encourage applications from individuals of all backgrounds, regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, or any other characteristic protected by law.

The purpose of this role is to provide high-quality bioinformatics expertise across a range of Research and Translational Medicine projects, with a particular focus on supporting autoimmune disease programmes.

The post-holder will develop and apply bioinformatics tools, workflows and analyses to address project needs, support scientific decision-making and contribute to the advancement of the Company pipeline. They will work closely with colleagues across Research and Translational Medicine, contributing to projects as priorities evolve.

KEY RESPONSIBILITIES

• Apply advanced bioinformatics expertise to address complex scientific and technical questions across Research and Translational Medicine projects.
• Provide bioinformatics support to autoimmune disease programmes, developing an understanding of the relevant scientific context, project strategy and underlying biology.
• Work proactively with scientific colleagues to translate research questions into robust, practical and reproducible analytical approaches.
• Design, develop, maintain and improve bioinformatics workflows, pipelines and tools.
• Develop and maintain reproducible NGS analysis pipelines using workflow-management technologies such as Nextflow.
• Identify, evaluate and integrate new data sources, analytical methods and technologies where these will add value to project delivery.
• Develop applications, visualisation tools and data-integration solutions that enable scientists to explore, interpret and combine data from multiple sources.
• Exercise sound scientific and technical judgement when evaluating analytical approaches, data-management practices and workflow-development priorities.
• Contribute to data standards, documentation, reproducibility and good computational practice across the team.
• Demonstrate project leadership through proactive collaboration with senior representatives across Research and Translational Medicine.
• Communicate complex analyses, findings and recommendations clearly to technical and non-technical audiences.
• Maintain accurate, timely documentation of work in accordance with Company procedures.
• Maintain and develop relevant technical and scientific knowledge through self-directed learning, conferences, training and professional networks.
• Operate in accordance with all Company Health and Safety policies and procedures.

EXPERIENCE AND KNOWLEDGE

Essential

• Strong programming skills in R, including Bioconductor, and experience working in Linux environments using shell scripting, including Bash.
• Demonstrable experience designing, developing and maintaining bioinformatics workflows and pipelines, such as Nextflow or similar workflow languages.
• Proficiency in analysing single-cell RNA-sequencing (scRNA-seq) data and associated downstream pipelines.
• Experience building, maintaining and supporting NGS analysis pipelines.
• Strong understanding of molecular biology, cell biology, immunology or a closely related discipline.
• Significant independent research or industry experience in bioinformatics, genomics, computational biology or a related field.
• Experience applying bioinformatics approaches to complex biological questions and communicating findings clearly.
• Evidence of improving working practices, analytical tools or processes to increase efficiency, reproducibility or usability.
• Experience presenting detailed scientific findings to internal and/or external audiences.
• Demonstrable ability to adapt rapidly to new scientific areas, changing priorities and multiple concurrent projects.
• Ability to work independently, prioritise effectively and deliver high-quality work within a collaborative, multidisciplinary environment.

Desirable

• Background in autoimmune disease research or other immunology-focused programmes.
• Demonstrated work in TCR (T-cell receptor) and/or antibody bioinformatics, including immune repertoire analysis.
• Familiarity with machine learning and AI applications within bioinformatics and computational biology.
• Aptitude for "vibe coding" and interfacing with AI-native development environments (e.g. Cursor) to rapidly prototype scripts, troubleshoot code, and accelerate delivery of analyses.
• Routine use of Git and GitHub for version control, code review, and collaborative software development.
• Working knowledge of cloud computing platforms (e.g. AWS) and distributed high-performance computing (HPC) environments.
• Track record of developing interactive tools, dashboards (e.g. Shiny), or data visualisation applications for scientific end-users.
• History of mentoring or coaching less experienced colleagues in scientific, computational, or analytical best practices.
• Practical competence with relational databases and data-management systems using SQL or similar query languages.

KEY BEHAVIOURAL ATTRIBUTES - ALL STAFF

• Openness and honesty

Readily offering information pertaining to work in hand whether positive or negative.

• Taking responsibility

Being prepared to accept full responsibility for tasks entrusted to them; seeing tasks through to completion and dealing with the consequences of failure or success.

• Flexibility

Being flexible to new ideas and approaches; changes of plans, objectives and/or priorities. Handling disjointed tasks effectively.

• Team spirit

Being able to work productively with others to achieve tasks. Showing consideration for the needs and feelings of others.

EDUCATION & QUALIFICATIONS

• Normally requires a PhD in a scientific discipline and a minimum of 5-8 years related experience; may include post-doctoral experience.
• MSc degree with extensive role specific equivalent research or industrial experience.