CG-TIC Data Scientist (Fixed Term)

Cambridge; Cambridge; On-site; GBP 42,000 - 57,000; Full time

Job summary

A leading research partnership is seeking a Data Scientist to join the Cambridge-GSK Translational Immunology Collaboration (CG-TIC). This role involves developing computational pipelines while collaborating with biostatisticians and researchers. Ideal candidates will have a strong background in processing biological datasets, proficiency in R or Python, and excellent organizational skills. The position offers a competitive salary and the possibility of flexible working arrangements.

Benefits

Flexible working arrangements

Family-friendly working options

Qualifications

• Experience processing and analysing large biological datasets.
• Comfortable working with Linux/Unix and shell scripts.
• Some experience with high-performance computing platforms.

Responsibilities

• Develop pipelines using Nextflow for analytics team.
• Co-ordinate with cross-functional teams on research integration.
• Ensure rigorous data management and compliance.

Skills

Data processing

Biological datasets analysis

Programming in R or Python

Linux/Unix proficiency

SQL knowledge

Workflow tools (Nextflow)

High-performance computing

Communication skills

Organizational skills

Education

MSc or PhD in biological science

Tools

Nextflow

SQL

Job description

# CG-TIC Data Scientist (Fixed Term)**Data Scientist***Cambridge-GSK Translational Immunology Collaboration (CG-TIC)*(Fixed Term)We wish to recruit a Data Scientist to join the Cambridge-GSK Translational Immunology Collaboration (CG-TIC), a growing partnership between the University of Cambridge and GSK. Focused on kidney and respiratory diseases, the collaboration leverages the world class capabilities of Cambridge University to provide transformational impact for patients, while aligning with GSK R and D strategic priorities.The Data Scientist will play a pivotal role in the development and deployment of advanced computational pipelines aimed at optimizing data analysis in this critical collaboration. This includes the collection and integration of pseudonymised clinical metadata and genomic experimental data, ensuring rigorous data management and compliance with ethical standards.The successful candidate will leverage the established infrastructures of the University Research Computing Services, including the High-Performance Computing cluster and the Secure Research Computing Platform (SRCP), to design and implement robust analytical frameworks. These pipelines will facilitate real-time data processing and enhance the efficiency of data-driven insights, which are essential for advancing our understanding of kidney and respiratory diseases and translating discoveries into impactful therapeutic strategies.**Who you'll be working with:**The role is based in the Department of Medicine, working with researchers based in the Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), the Victor Phillip Dahdaleh Heart & Lung Research Institute (HLRI), and other University researchers who are part of the CG-TIC. You will work under the supervision of the Senior Data Manager to assist clinical and analytical teams within CG-TIC in processing and analysing diverse and complex datasets.**What you will do:**You'll be working on a diverse range of projects in the core analytics team, involving clinical and experimental data, utilising cutting edge tools and platforms for ingestion, QC and analysis. You will develop and provide pipelines (e.g., using Nextflow) for use by the analytics team in investigate work. You will co-ordinate with cross-functional teams including biostatisticians, researchers, clinicians and software developers to ensure integration of analytical methods with ongoing research initiatives. Attention to detail and good organisational skills are key to the role.**What experience you will have:*** An MSc. or PhD in a biological science is desirable.* Experience processing and analysing large biological datasets.* Experience of development in a programming language such as R or Python.* Comfortable working with Linux/Unix and shell scripts.* Familiarity with SQL and database design.* Experience with workflow management tools (e.g., Nextflow) for reproducible research is desirable.* Some experience with high-performance computing platforms is desirable.* Excellent organisational and communication skills.* Ability to present research findings clearly to both technical and non-technical audiences.*More information about the role is attached in the 'Further Particulars' document.*We support flexible and family-friendly working and are open to non-standard working patterns. While this is advertised as a full-time role, we would consider applications from candidates who are looking to work less than full-time hours and are open to applicants who live outside Cambridge but are willing to travel to Cambridge when required.Informal enquiries regarding this position are strongly encouraged: Contact Kelvin Hunter ([e-mail]), Senior Data Manager, CG-TIC.Fixed Term: The funds for this position are available for two years in the first instance, with the possibility of funding for up to five years.Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.Please quote reference **RC48091** on your application and in any correspondence about this vacancy.The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.The University has a responsibility to ensure that all employees are eligible to live and work in the UK.### Department/location### Salary£42,254-£56,535### ReferenceRC48091### Category### Date published27 November 2025### Closing date12 January 2026