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 ❯
slough, south east england, united kingdom Hybrid / WFH Options
BioTalent
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 ❯
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 ❯
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 ❯
