7 jobs found in cambridge

Job details Salary From £20,129 a year Job type Full-time Full Job Description Description British Antarctic Survey are looking for an Atmospheric Data Analyst (Intern) to join our Atmosphere Ice and Climate team for eight weeks. Purpose Utilise a recently-added capability to run the HYSPLIT atmospheric trajectory tool locally at BAS to help improve the understanding of atmospheric temperature extremes over coastal Antarctica. Qualification A level (or equivalent) maths or numerate subject such as physics. Duties Familiarisation with the HYSPLIT model and how to run it on locally on the BAS computer system. Use HYSPLIT to identify the source of air arriving at the Mawson observation station during an extreme warm temperature event. Then extend this to assess generality of these findings for many events and Mawson and it time allows other locations. Work as part of the PCAP team and meet regularly with BAS supervisors to discuss...

Job details Salary £70,000 - £100,000 a year Full Job Description Fantastic DevOps Engineer ( AWS – Python ) / Hybrid Python Developer ( with DevOps skills) has arisen at an award-winning Cambridge based technology company. This is a truly exciting time to join and will see you be a key member of the team helping to shape the evolution and growth of the company. The DevOps engineer will support ongoing project and greenfield development work. Use modern technologies and workflows to develop Machine-Learning-as-a-Service products analysing large volumes of chemical and biological data. We are looking for someone with strong Python development skills and a passion for Development Operations to support existing DevOps work and product growth. Compared with traditional Operations roles, you will spend a large amount of time developing, testing and deploying Python server applications. The role will suit a Python developer looking to move into DevOps or an...

The revolution in modern advertising won't be televised. It will be streamed. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the US, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable — and valued — contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers worldwide while gaining meaningful experience across various disciplines. About the role Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of...

Senior Statistician/Statistical Science, Associate Director – Global Medical Affairs/Payer Biometrics Locations: Cambridge or Macclesfield (UK) Gaithersburg or Wilmington (Delaware) (US) Competitive salary and benefits package on offer Do you have a passion for science, statistics and leadership? Are you up for the challenge to impact a company that follows the science and turns ideas into life changing medicines? If yes, we welcome you to join AstraZeneca! At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide, while applying leading edge approaches to science across many business areas. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to act, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person We are currently looking for a senior/principal statistician to work within our Global Medical Affairs and...

Job details Job type Full-time Benefits Pulled from the full job description Cycle to work scheme Life insurance Full Job Description Cyted's mission is to revolutionise diagnostic methods to build a world where disease is prevented rather than treated. We focus on providing digital diagnostic infrastructure to drive the earlier detection of disease. Our technologies use artificial intelligence and novel biomarkers to unlock clinical insight and improve patient outcomes. The Cyted group develops and deploys digital diagnostic services for research and clinical use. Our services are designed to dignify and empower, placing patients at the heart of our services. Cyted is seeking a Machine Learning Scientist to join our amazing team. The Machine Learning Scientist will play a crucial role in building new systems to provide medical insights based on the microscopy imaging data...

Translational Bioinformatics Scientist, Neuroscience Granta Park, Cambridge - UK Salary & Benefits Competitive If you’re inspired by the possibilities of science to change lives and make a more meaningful impact to patients’ lives around the globe, join us. AstraZeneca is a global, innovative, biopharmaceutical business that focuses on the discovery, development of prescription medicines for some of the most serious diseases. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're proud to have an exceptional workplace culture that encourages innovation and collaboration. Here, employees are empowered to express diverse perspectives - and are made to feel valued, energised and rewarded for their ideas and creativity. With a rich heritage and a research and development focus on neurodegenerative diseases and analgesia, AstraZeneca continues to push the boundaries of science in neuroscience in collaboration with other...

Job details Salary £27,116 - £31,406 a year Job type Fixed term contract Full Job Description Fixed-term:   The funds for this post are available for 12 months in the first instance. The role is funded by the "Unleash machine learning for materials discovery" programme. The project will develop a new form of federated machine learning that, merges separate machine learning models, before applying the methodology to collaborator's data. The research will be hosted in Dr Conduit's group within the Department of Physics which has a track record of developing machine learning tools, designing experimentally verified materials leading to six patents and many peer-reviewed papers. The approach has been commercialized by Intellegens as the product Alchemite Analytics for use in materials, industrial chemicals and pharmaceuticals. This project will continue the development of new approaches to federated learning, that offers significant practical advantages...