4 of 4 Remote Biomedicine Jobs in England

to commence in Q1 2025: Your work will directly impact the studies we run and the products we build. Building on a highly multidisciplinary background (surgeons, computer scientists, mathematicians, biomedical engineers, regulatory affairs specialists, and KOLs for surgical healthcare technology) our team consists of world-leading experts in machine learning/AI for medical imaging, interventional imaging and medical devices More ❯

the compilation and maintenance of device development documentation, including Design History Files (DHF) and Risk Management Files (RMF). Why you? Basic Qualifications Degree (or equivalent) in Mechanical Engineering, Biomedical Engineering, or a related field. Proven experience in medical device or combination product development, ideally in injectables and/or respiratory products. Deep understanding of in silico modelling tools and More ❯

To apply for a placement in Data, Automation, & Predictive Sciences (DAPS), you must be studying for an Undergraduate Degree in a subject related to the role. Includes Life sciences, Biomedical Sciences, Engineering, Mathematics, Bioinformatics, Computer Science, Business Analysis, Information Sciences, Statistics, Data Sciences, Biology, Chemistry, Physics or related fields. Please read the degree requirements for each role carefully before applying. … different algorithms. Interact with laboratory and computational scientists to understand scientific context. Role 2 - Scientific Data Engineering Degree requirements: Physical Science (Chemistry, Engineering, Mathematics, Statistics) or Biological Science (Biology, Biomedical Sciences, Physiology) or equivalent Placement Overview: Design, build, and deploy data pipelines, analyses and visualizations that interact with databases containing GSK's research data, delivering scientific data solutions on cloud More ❯

re a passionate team committed to excellence, innovation, and creating a positive and inclusive work environment. The Person · Educated to degree level, preferable in relevant subject area such as biomedical informatics, computer science, health information management, data science, life science or biomedical engineering. · Certification in clinical data management, Python, AI, data analytics and CDASH basics are all desirable. · Proven experience More ❯