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Immunocore

Immunocore

www.immunocore.com

5 Jobs

562 Employees

About the Company

Immunocore is a leading T cell receptor (TCR) biotechnology company working to create first-in-class biological therapies to address unmet patient needs in oncology as well as infectious and autoimmune diseases.

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Listed Jobs

Company background Company brand
Company Name
Immunocore
Job Title
Director, Product Marketing (Europe)
Job Description
Oxford, United kingdom
On site
Senior
13-10-2025
Company background Company brand
Company Name
Immunocore
Job Title
Year in industry placement | Commercial Supply Chain
Job Description
**Job title** Commercial Supply Chain Placement Student **Role Summary** Deliver end‑to‑end supply chain support for manufacturing and distribution of master/working cell banks, drug substances, products, and finished products. Lead Power BI dashboard development for performance monitoring and batch traceability while collaborating with cross‑functional teams and external partners. **Expectations** - Acquire knowledge of planning, supplier & third‑party logistics, inventory control, ERP, shelf‑life management, and regulatory compliance. - Apply data science techniques, including AI‑driven forecasting and inventory optimisation. - Communicate findings and recommendations to senior managers and partners. **Key Responsibilities** - Design and implement Power BI dashboards for CSC performance and batch traceability. - Improve demand forecasting using AI algorithms to reduce stockouts and overstock. - Optimise inventory levels and reorder points to minimise carrying costs. - Streamline logistics routes and transportation costs through AI‑powered solutions. - Analyse supplier performance to strengthen relationships and ensure on‑time quality deliveries. - Increase supply chain visibility with real‑time tracking from production to distribution. - Predict and mitigate potential disruptions via predictive analytics. - Ensure logistical, compliance, and regulatory integrity of supply‑chain operations. **Required Skills** - Analytical and data‑visualisation skills (Power BI, Excel, SQL). - Basic knowledge of AI/machine‑learning concepts for forecasting and optimisation. - Understanding of supply‑chain principles, inventory management, and logistics. - Strong communication and stakeholder‑management abilities. - Self‑motivation and ability to work independently and in cross‑functional teams. **Required Education & Certifications** - Currently pursuing a BA/BSc in Business Administration, Supply Chain Management, Biological Sciences, or Computer Engineering (or equivalent). - No specific certifications required, but knowledge of ERP systems and basic AI techniques is advantageous.
Oxford, United kingdom
On site
27-11-2025
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Company Name
Immunocore
Job Title
Year in industry placement | Nonclinical safety
Job Description
**Job Title:** Year in Industry Placement – Nonclinical Safety **Role Summary:** Assist the Nonclinical Safety Team in engineering mammalian cell models to evaluate bispecific molecules. Apply genetic engineering and molecular biology techniques to create, validate, and use engineered cell lines for pharmacological testing of novel immuno‑engagers. Gain hands‑on training in advanced cellular assays, data analysis, and laboratory documentation within a structured industry placement program. **Expactations:** - Complete a full‑time year‑long placement focused on nonclinical safety and cell model development. - Demonstrate ability to design and construct genetic tools, generate engineered cell lines, validate perturbations, and perform cell‑based pharmacology assays. - Contribute to internal reports and presentations, maintaining meticulous lab records. - Comply with biosafety, quality, and documentation standards throughout the program. **Key Responsibilities:** - Design and clone synthetic nucleic acid constructs (sgRNAs, plasmids) for gene modulation. - Generate, propagate, and maintain plasmid stocks and engineered mammalian cell lines. - Validate genetic edits at DNA, RNA, and protein levels using PCR/qPCR, western blot, flow cytometry, immunofluorescence, and next‑generation sequencing. - Conduct cell‑based assays (co‑culture, T‑cell activation, killing, cytokine release) to assess bispecific molecule effects. - Perform fluorescence‑activated cell sorting to isolate specific cell populations. - Analyze experimental data, prepare summary reports, and present findings. - Maintain electronic laboratory notebooks, protocols, and records per industry standards. - Execute routine laboratory maintenance and uphold safety and biosafety guidelines. **Required Skills:** - Proficiency in mammalian cell culture, plasmid work, and genetic manipulation techniques. - Experience with qPCR, western blot, flow cytometry, immunofluorescence, and basic sequencing analysis. - Ability to design oligonucleotides (sgRNAs, primers) and clone plasmids. - Strong analytical skills for data interpretation and report generation. - Familiarity with laboratory safety, biosafety, and quality documentation. - Excellent written and oral communication, teamwork, and time‑management. **Required Education & Certifications:** - Current enrolment in a BSc (or equivalent) in Biological Sciences, Biomedical Sciences, Biochemistry, Immunology, Pharmacy, Pharmacology, or related discipline (second year). - No specific certifications required; coursework in genetics, cell biology, or molecular biology preferred.
Oxford, United kingdom
On site
01-12-2025
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Company Name
Immunocore
Job Title
Year in industry placement | Data Sciences
Job Description
**Job title** Year in Industry Placement – Data Sciences **Role Summary** Data‑science placement in translational medicine, focusing on building a structured data repository for clinical trial and genomic data and applying machine‑learning methods to identify biomarkers of ImmTAC therapeutic response. **Expectations** - Design and implement efficient data models (relational SQL databases) to store large‑scale trial outcome, RNA, and DNA sequencing data. - Develop visualisations and exploratory analyses using R or Python. - Apply machine‑learning algorithms (scikit‑learn, PyTorch) to uncover novel response signatures linked to clinical outcomes. - Work in a Linux environment, collaborating with senior scientists on data engineering and analytical workflows. **Key Responsibilities** 1. Collaborate with the team to design an architecture for clinical and sequencing data management. 2. Build and maintain relational databases (SQL) and associated ETL pipelines. 3. Develop Python/R scripts for data exploration, cleaning, and visualisation. 4. Conduct exploratory data analysis to identify candidate biomarkers of ImmTAC treatment efficacy. 5. Implement supervised and unsupervised ML models to predict clinical outcomes from multi‑omics data. 6. Document data models, code, and findings; present results to interdisciplinary stakeholders. **Required Skills** - Programming: Python (pandas, numpy, scikit‑learn, PyTorch), R, and SQL. - Comfort working in a Linux operating system. - Familiarity with data‑engineering concepts: database design, ETL, data normalization. - Basic understanding of genomics and clinical trial data. - Strong analytical thinking, problem‑solving, and documentation skills. **Required Education & Certifications** - Current enrolment in a BSc (or equivalent) in life sciences, biomedicine, or a related discipline. - Demonstrated interest in data science and coding; coding experience preferred but can be taught during the placement. ---
Oxford, United kingdom
On site
01-12-2025