26 to 50 of 95 Biology Jobs in England

steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at More ❯

steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at More ❯

steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at More ❯

them across massive, complex biological datasets. Lead high-impact experiments, effectively navigating signal-to-noise in large-scale biological data. Collaborate closely with interdisciplinary teams, bridging AI research, computational biology, and experimental scientists. Publish influential research in leading journals and conferences, establishing thought leadership in BioAI. Mentor researchers, building a vibrant, collaborative, and scientifically rigorous culture. Expected Growth In More ❯

steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at More ❯

innovations, positioning them within broader industry trends to inform internal teams and external stakeholders. Lead simultaneous client facing projects across ZS Discovery to reinvent pharmaceutical discovery, elucidate complex disease biology and pioneer novel therapeutics. Provide expertise in biostatistics and/or bioinformatics applications, such as epidemiology, population genetics, genomics, proteomics, bulk or single cell RNA-sequencing, and/or systems More ❯

Jobs in Structural Biology and Related Fields 2 x PDRA positions in Siebold lab, University of Oxford University of Oxford, Oxford, United Kingdom Postdoctoral Research Scientist in Membrane Protein Structural Biology and GPCR signalling The Division of Structural Biology, Building for Genomic Medicine Roosevelt Drive, Oxford, OX3 7BN We are seeking a highly motivated Postdoctoral Research Scientist to join Professor … to an Imperial led Wellcome Trust Discovery Grant titled "Allosteric modulation of class B1 GPCRs via cholesterol binding sites". This award brings together a multidisciplinary consortium-spanning structural biology, computational modelling, and invivo physiology-to dissect cholesterol mediated modulation of key receptors like Glucagon receptor and GLP 1R, with direct relevance to metabolic disease therapeutics. The Siebold group focuses … the structural and mechanistic analysis of membrane protein complexes involved in cell-to-cell communication and signal transduction. Within this role, you will work at the interface of structural biology and cell biology, applying techniques such as mammalian protein expression, protein purification, and single-particle cryo-electron microscopy (cryo-EM) to investigate G protein coupled receptor complexes. You will be More ❯

way these can be resolved Exceptional attention to detail Expectation of up to 30-40% travel – meeting customers and events globally as required Qualifications: Life science degree (Genetics, Biochemistry, Biology, Molecular Biology, Biotechnology, Molecular Biology or similar) At least 5 years Product Management experience within a technical field Experience in molecular biology Experience in infectious diseases preferrable Experience in human More ❯

continuous professional development including NLP, sales grammar, and technical product training. The successful candidate will hold a 2:1 or First-class degree in a science-related discipline (e.g. Biology, Chemistry, Biochemistry, Marine Biology, etc.), as well as 2 5 years experience in a commercial role (B2B sales, preferably technical/scientific). They will hold the ability to confidently More ❯

Data Scientist - Single Cell London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning (ML … model architectures. Collaborate with experimental teams to design and validate computational hypotheses. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in computational biology, bioinformatics, or a related quantitative field. Extensive experience in multi-omics data analysis, including transcriptomics. Proficiency in Python and familiarity with high-performance computing environments. Desirable knowledge or experiences Familiarity More ❯

technological approaches in bioinformatics & integrative data analytics. Partner with Neuroscience Discovery on strategy and process for evaluating target opportunities from the perspective of cutting-edge genetics, bioinformatics, biosignatures, brain biology, and mechanism, drawing upon a combination of internal and external human data resources. Partner with Clinical Development, Global Regulatory Affairs, Data Science, Patient Reported Outcomes, Statistics and other core functions … and other measures) for our compounds in development. Develop relationships with key scientists and clinicians externally and with internal stakeholders to map target mechanisms to human genetics and brain biology with a view towards different indications or patient populations and develop forward looking data strategies along the path to launch. Create a purpose driven culture in which decisions and actions … advice) Demonstrated interpersonal skills with the ability to work effectively with an interdisciplinary team, including laboratory scientists, bioinformaticians, statisticians, and data analysts Familiarity with genomics, human genetics and disease biology in Neurodegeneration and/or neuropsychiatry Effectively communicates technical information to audiences regardless of audience background. Experience and familiarity with electronic health record derived phenotypes. Strong proficiency in managing workflows More ❯

controlled electro-mechanical (robotic) systems incorporating robotics (motion), liquid handling, temperature control, sample handling, and optical detection. This position also offers the opportunity to develop additional skills in molecular biology and other medical diagnostic technologies. Key responsibilities: - Identification, implementation and verification of improvements to processes implemented on our automation platforms. - Work with cross-functional teams (sample preparation & PCR optimization and … controlled electro-mechanical (robotic) systems incorporating robotics (motion), liquid handling, temperature control, sample handling, and optical detection. This position also offers the opportunity to develop additional skills in molecular biology and other medical diagnostic technologies. Key responsibilities: - Identification, implementation and verification of improvements to processes implemented on our automation platforms. - Work with cross-functional teams (sample preparation & PCR optimization and More ❯

identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. Who You Are Minimum Qualifications - PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling More ❯

based inference, likelihood-free inference. There will be particularly good opportunities to join new work on collaborative modelling and decision-making with AI. And applications in drug design, synthetic biology, personalized medicine, and digital twins. The positions are in the University of Manchester, which has recently strengthened its position as a centre for research into AI fundamentals and impactful applications More ❯

of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira More ❯

steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at More ❯

Machine Learning Scientist - Causality London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning (ML More ❯

steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at More ❯

with chemists, biologists, platform engineers, cheminformaticians, computational biologists, and data scientists. What we are looking for A post-graduate degree in machine learning, statistics, computer science, cheminformatics, bioinformatics, chemistry, biology, genetics, medicine or a similar area. Experience in applying machine learning techniques to life science applications and datasets. Strong data processing and analysis skills. Confident coding in python and using More ❯

arrange technical accredited audits where necessary. These skills will help you go far in this role: A scientific degree (cosmetic or pharmaceutical science) or in a fundamental science (chemistry, biology or biochemistry) Significant, demonstrable experience in skincare and makeup technical development Strong project management experience Experience in scale-up, manufacturing and stability Strong interpersonal skills, ability to develop relationships and More ❯

to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities. Preferred Experience/Education/Skills: MD or PhD in computer science, genetics, computational biology, or related field. Please note this is an expression of interest for future roles in this team with potential start dates throughout 2024/2025. We are a company deeply More ❯

steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at More ❯

steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at More ❯

the support of a leading academic advisor, who'll provide you with the guidance and knowledge you need to develop your career. You will be part of the Quantitative Biology group and develop comprehensive Bayesian machine learning models for predicting drug toxicity in liver, heart, and other organs. This includes predicting the mechanism as well as the probability of toxicity … used to account for uncertainty in the inputs and propagate this uncertainty into the predictions. In addition, you will promote the use of Bayesian methods across safety pharmacology and biology more generally. You are also expected to present your findings at key conferences and in leading publications This project is in collaboration with Prof. Andrew Gelman at Columbia University, and More ❯

Your work will change lives. Including your own. The Impact You'll Make Recursion is at the forefront of reimagining drug discovery through the integration of automated cell biology, high-dimensional and diverse data sets, and sophisticated analytics. We are seeking a Lead, Clinical Data Manager who can lead and oversee end to end Clinical Data Management activities on assigned … communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical … datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology More ❯