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**Job Description**
This post involves a dynamic collaboration between the Centre for Trauma Sciences and the Centre for Translational Bioinformatics at Queen Mary University of London. The role is integral to a research programme focused on traumatic injury, haemostatic resuscitation, and optimizing patient outcomes, with the aim to translate biomedical data into clinical applications. The successful candidate will be an experienced biomedical data scientist or computational biologist joining a highly collaborative team.

**Skills & Abilities**
• Demonstrable experience in computational biology, computer science, statistics or related field.
• Essential experience in scripting languages to support data science (e.g., Python & R).
• Desirable experience in notebooks, markdown, and revision control software (e.g., GIT & Jupyter).

**Qualifications**
Required Degree(s) in:
• Computational Biology
• Computer Science
• Statistics
• Related field

**Experience**
Other:
• PhD (or close to completion) or research qualification/experience equivalent to PhD level.

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Experience
Other: • PhD (or close to completion) or research qualification/experience equivalent to PhD level.
Work Level
Ph.D
Employment Type
Research Job, See Details
Salary
Benefits: • Competitive salaries • Generous pension scheme • 30 days' leave per annum (pro-rata for part-time/fixed-term) • Season ticket loan scheme • Access to a comprehensive range of personal and professional development opportunities • Range of work life balance and family friendly, inclusive employment policies • Flexible working arrangements • Campus facilities
Details
See Details
School / Department / Center / Lab
• Centre for Trauma Sciences • Centre for Translational Bioinformatics • Digital Environment Research Institute
Supervisor Email
See Details
Queen Mary University of London (QMUL)
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Industry
Education
Phone
+44 (0)20 7882 5555 +44 (0)20 7882 **** Show
Location
London