15 of 15 Permanent Biology Jobs in the South East

preventative care clinic, and collaborative spaces to strengthen its partnership with the University of Oxford. It will also host the Ellison Scholars, driving innovation for societal benefit. The Generative Biology Institute (GBI) at the Ellison Institute of Technology (EIT) aims to overcome two major challenges in making biology engineerable: 1) the ability to precisely synthesize entire genomes, and 2) understanding … which DNA sequences will create biological systems that perform desired functions. Solving these challenges will unlock the potential of biology for transformative solutions in health, sustainability, agriculture, and more. GBI will house 30 groups and over 300 researchers, supported by cutting-edge facilities and sustained funding to address global challenges and advance biology engineering. EIT fosters a culture of collaboration … throughput platforms, adapting protocols as needed to meet experimental requirements. To design and execute bespoke sequencing experiments, collaborating with research teams working across niche and novel synthetic, molecular & cell biology applications. To train, assist and feedback to other scientists who can or wish to utilise next-generation sequencing in a walk-up fashion. To analyse sequencing data using existing bioinformatics More ❯

end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit testing. Knowledge of More ❯

end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit testing. Knowledge of More ❯

growth and leadership. What you’ll do Design and develop novel ML models and algorithms. Apply deep learning and generative modelling to complex scientific problems. Collaborate with experts across biology, chemistry, physics, and engineering. Analyse, tune, and optimise experimental results. Depending on experience: lead projects, mentor others, and shape research strategy. What you’ll bring PhD (or equivalent experience) in More ❯

growth and leadership. What you’ll do Design and develop novel ML models and algorithms. Apply deep learning and generative modelling to complex scientific problems. Collaborate with experts across biology, chemistry, physics, and engineering. Analyse, tune, and optimise experimental results. Depending on experience: lead projects, mentor others, and shape research strategy. What you’ll bring PhD (or equivalent experience) in More ❯

growth and leadership. What you’ll do Design and develop novel ML models and algorithms. Apply deep learning and generative modelling to complex scientific problems. Collaborate with experts across biology, chemistry, physics, and engineering. Analyse, tune, and optimise experimental results. Depending on experience: lead projects, mentor others, and shape research strategy. What you’ll bring PhD (or equivalent experience) in More ❯

end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Prior experience carrying out user research for software development. Knowledge of generative AI and More ❯

end pipeline consuming other data products. Deliver ML- and data-driven insights on GenAI datasets. Minimum Qualifications A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist. Prior experience carrying out user research for software development. Knowledge of generative AI and More ❯

a senior-level opportunity with potential for Qualified Person (QP) sponsorship for the right candidate. What you'll need to succeed A degree in a scientific discipline (e.g. Chemistry, Biology, or related field) Extensive experience in GMP-regulated environments (10+ years preferred) Strong leadership and people management skills In-depth knowledge of EU cGMP and ISO standards (9001, 13485) Experience More ❯

support regulatory inspections Drive continuous improvement and contribute to strategic quality initiatives Support training, change control, and compliance projects Candidate Requirements Essential: Degree in a scientific discipline (e.g. Chemistry, Biology, or related field) 10+ years' experience in GMP-regulated environments Strong leadership and people management skills In-depth knowledge of EU cGMP, ISO 9001, and ISO 13485 Experience supporting or More ❯

preventative care clinic, and collaborative spaces to strengthen its partnership with the University of Oxford. It will also host the Ellison Scholars, driving innovation for societal benefit. The Generative Biology Institute (GBI) at the Ellison Institute of Technology (EIT) aims to overcome two major challenges in making biology engineerable: 1) the ability to precisely synthesize entire genomes, and 2) understanding … which DNA sequences will create biological systems that perform desired functions. Solving these challenges will unlock the potential of biology for transformative solutions in health, sustainability, agriculture, and more. GBI will house 30 groups and over 300 researchers, supported by cutting-edge facilities and sustained funding to address global challenges and advance biology engineering. EIT fosters a culture of collaboration … duties in support of the research group as requested by the Group Leader Essential & Desirable Knowledge, Skills and Experience: A PhD (or equivalent) in a relevant scientific discipline (e.g. Biology, Chemistry, Engineering, Computer Science) Strong track record of hands-on research, ideally in mammalian cell culture and engineering, molecular biology, or synthetic biology Desirable: Experience with genomic data analysis, automation More ❯

We are looking for a highly motivated Senior Scientific Developer/Cheminformatician to join the Chemical Biology Resources team at the European Bioinformatics Institute (EMBL-EBI), located on the Wellcome Genome Campus near Cambridge, UK. The Chemical Biology Resources team provides world-leading chemogenomics resources to the scientific community. ChEMBL is a database of quantitative small-molecule bioactivity data curated … will be working closely with our team which consists of an international and interdisciplinary mix of professional scientists and software engineers. The EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL-EBI provides freely available … data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academic and industry. Main Duties and Responsibilities Develop and maintain the scientific workflows underpinning the curation, integration and dissemination of the groups resources (e.g. the data pipelines for generating ChEMBL releases which are a mixture of Python and Java More ❯

to reimagine how discovery happens in materials science, chemistry, and the life sciences. Why this role matters Leveraging generative modelling, robotics, and autonomous experimentation to accelerate breakthroughs in chemistry, biology, and materials. Partner with leading scientists, engineers, and technologists from across the globe. Contribute to programmes that with strong humanitarian impact. Help build automated, data-driven research pipelines that move … working with complex, large-scale scientific data. Excellent communication and the ability to work across disciplines. Nice to have Experience in high-impact scientific domains (chemistry, drug discovery, materials, biology). Background in start-ups or fast-paced R&D environments. More ❯

to reimagine how discovery happens in materials science, chemistry, and the life sciences. Why this role matters Leveraging generative modelling, robotics, and autonomous experimentation to accelerate breakthroughs in chemistry, biology, and materials. Partner with leading scientists, engineers, and technologists from across the globe. Contribute to programmes that with strong humanitarian impact. Help build automated, data-driven research pipelines that move … working with complex, large-scale scientific data. Excellent communication and the ability to work across disciplines. Nice to have Experience in high-impact scientific domains (chemistry, drug discovery, materials, biology). Background in start-ups or fast-paced R&D environments. 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 ❯