You will join an interdisciplinary team of life scientists, computer scientists, and mathematicians. We all learn from each other and work together in supporting Wellcome's mission to address worldwide health challenges.
You will be supported in your personal and professional development and have the opportunity to lead peer-reviewed publications on genetics and genomics approaches.
You will work closely with experimental platforms and research teams to ensure robust, reproducible, and well-documented data analysis pipelines.
You must have the right to work permanently in the UK with a willingness to travel as necessary.
You will live in, or within easy commuting distance of, Oxford.
Under the guidance of Prof Anguraj Sadanandam, we are seeking to recruit a Bioinformatician (Senior Scientific Officer) to contribute to implementing and performing relevant analyses, interpreting the results in context of fast-moving projects, and presenting the results to project teams as well as internal and external collaborators and contribute, with the expectation of authorship on resulting...
Senior Full Stack Engineer This role is Hybrid, 1 day p/w in Oxford. La Fosse are partnering with an established research & development institute, who are looking to extend their software development team. The successful candidate will be joining a cross-functional team working alongside architects, platform engineers, and data engineers to deliver platform tools that manage the full data...
You will grow alongside other talented minds, in ways you may often find unexpected. When people come together, incredible things happen. Here you’ll work in a safe environment where you can be who you truly are. We’ll champion and celebrate your uniqueness throughout your journey with us.
You will work closely with engineers to deploy data pipelines and platform features, and support bioinformaticians in building and deploying their workflows.
You will be responsible for maintaining infrastructure, designing secure automation pipelines, managing cloud environments, and ensuring security and compliance.
You must have the right to work permanently in the UK with a willingness to travel as necessary.
You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
You will partner with major pharma organisations to accelerate their scientific data centralisation and AI-readiness initiatives, operating across large enterprise environments with multi-technology stacks already in place.
You will act as the primary technical leader across strategic enterprise accounts, combining scientific domain expertise, architectural depth, and commercial instincts.
Get AI-powered advice on this job and more exclusive features.Software Development & Data Specialist @ Jackson Hogg ResponsibilitiesThe Machine Learning Engineer will investigate, implement, and develop novel algorithms using machine learning techniques. They will analyze data from various sources, both internal and external, create pipelines and algorithms to simulate and augment both real...
Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London While gene-editing is becoming increasingly efficient, identifying which genes to edit and how remains a significant challenge. To overcome this bottleneck, we use cutting-edge deep learning to accurately and efficiently identify high-value genetic targets for gene-editing. Our approach draws inspiration from recent...
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Senior Bioinformatics Engineer – Pipeline Automation & Tool Development Location: Cambridge Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people...
Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London While gene-editing is becoming increasingly efficient, identifying which genes to edit and how remains a significant challenge. To overcome this bottleneck, we use cutting-edge deep learning to accurately and efficiently identify high-value genetic targets for gene-editing.Our approach draws inspiration from recent...
You will partner with major pharma organisations to accelerate their scientific data centralisation and AI-readiness initiatives, operating across large enterprise environments with multi-technology stacks already in place.
You will act as the primary technical leader across strategic enterprise accounts, combining scientific domain expertise, architectural depth, and commercial instincts.
You will be supported in your personal and professional development and have the opportunity to lead peer-reviewed publications on single cell and spatial genomics approaches.
You must have the right to work permanently in the UK with a willingness to travel as necessary.
You will live in, or within easy commuting distance of, Oxford. - During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
This role is Hybrid, 1 day p/w in Oxford. La Fosse are partnering with an established research & development institute, who are looking to extend their software development team. The successful candidate will be joining a cross‑functional team working alongside architects, platform engineers, and data engineers to deliver platform tools that manage the full data lifecycle, monitor sequencing...
You will work within an interdisciplinary team of life scientists and computer/ML scientists, with a shared objective of advancing biological research through these foundational models. This role will sit within the AI/ML Faculty group led by Dr.
You will be responsible for:
You will partner with major pharma organisations to accelerate their scientific data centralisation and AI-readiness initiatives, operating across large enterprise environments with multi-technology stacks already in place.
You will act as the primary technical leader across strategic enterprise accounts, combining scientific domain expertise, architectural depth, and commercial instincts.
Senior Full Stack Engineer This role is Hybrid, 1 day p/w in Oxford. La Fosse are partnering with an established research & development institute, who are looking to extend their software development team. The successful candidate will be joining a cross-functional team working alongside architects, platform engineers, and data engineers to deliver platform tools that manage the full data...