8 of 8 Permanent Biomedicine Jobs in Central London

to: Science: Theoretical and applied mathematics, statistics and data science, physics, chemistry, and life science. Engineering: Mechanics and aerospace engineering, robotics, mechanical engineering, advanced materials, chemical and energy engineering, biomedical engineering, civil and environmental engineering, and oceanography. Information Science and Technology: Electronics, microelectronics, integrated circuits, computing, artificial intelligence, software engineering, automation control, and information and communication engineering. Business: Financial engineering More ❯

across diverse areas of the organization to make better decisions. Minimum Qualifications: - Ph.D. or equivalent doctoral degree in a relevant field, such as Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, Bioinformatics, or a related discipline. - 10+ years of experience in AI-related research and development, with at least 5+ years in a leadership role, with a proven track record More ❯

Here 'AI' is interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics; 'Science' covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics More ❯

Here 'AI' is interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics; 'Science' covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics More ❯

Here 'AI' is interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics; 'Science' covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics More ❯

Here 'AI' is interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics; 'Science' covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics More ❯

laboratory instrumentation Proven knowledge of clinical workflows in a pathology environment Excellent stakeholder management and communication skills Desirable: Experience managing or supporting LIMS implementation projects Master’s Degree in Biomedical Science or related field More ❯

the department. Performs other related duties and projects as business needs require at direction of management. You should apply if you have Bachelor’s degree in Engineering, Computer Science, Biomedical Engineering, or related technical or scientific field is strongly preferred. A master’s or other advanced degree is a plus. Minimum eight (8) years in product management with demonstrable success More ❯