1 to 25 of 48 Permanent Biology Jobs in the East of England

Gamze Gursoy at the University of Cambridge. The successful candidate will join an interdisciplinary research programme at the interface of biochemistry, molecular biology, biomolecular engineering, and computational genomics. The current focus is developing new technologies for genetic privacy, a problem requiring molecular and computational systems to be designed together rather … role in the research group, contribute to graduate student research skills, and participate in seminars, workshops, and interdisciplinary collaborations across applied mathematics, genetics, computational biology, synthetic biology, and genomic privacy. They will also be encouraged to develop independent research directions and pursue fellowship funding, with mentorship and support from ...

code quality and reproducibility across the programme Contribute to publications, IP and conference presentations What we're looking for Essential PhD in bioinformatics, computational biology, or related fields, followed by substantial experience (8+ years) in industry or academia Current, hands-on coding expertise in Python and/or R. ...

outcomes. Demonstrated ability to mentor engineers and communicate architecture, risk and delivery choices clearly to both technical and scientific stakeholders. Genomics, digital pathology, structural biology or other high-volume scientific data modalities and formats. AWS CDK, Batch, ECS, EKS, S3, RDS or Postgres, Athena, SageMaker, Bedrock, or equivalent services. Scientific ...

leading life sciences organisation in Cambridge is looking to appoint an experienced Head of Computational Biology to lead and develop its computational biology capability. This is an exciting opportunity for an established computational biology leader to take a strategic role in a highly collaborative scientific environment, working at the interface … computational biology, genomics, data science and drug discovery. Key Responsibilities Lead and develop a high-performing computational biology team. Set the strategic direction for computational biology across the organisation. Apply computational approaches to complex biological and therapeutic questions. Work closely with experimental biology, bioinformatics, data science and drug discovery teams. ...

preferred candidate will have a PhD in a subject related to data science: artificial intelligence, machine learning, computer science, statistics, biostatistics, statistical genetics, computational biology, bioinformatics, epidemiology or similar. They will have in-depth knowledge of and demonstrated experience of current models for deep learning and machine learning, and strong ...

staff-level candidates, experience providing technical leadership, influencing scientific direction, and mentoring colleagues will be highly valued.You'll also bring:PhD in Bioinformatics, Computational Biology, Computer Science, Biostatistics, Bioengineering, or a related fieldStrong algorithm development and statistical modelling expertiseExperience with genomic data analysis at scaleProgramming expertise in Python and/ ...

data requirements and deliver reliable, high-quality data solutions that support downstream applications and analyticsQualifications: Master's or Ph.D. in Materials Science, Chemistry, Physics, Biology, Chemical Engineering, or a related scientific discipline with a strong emphasis on data analysis. Proven experience in scientific data curation, validation, and analysis. Strong understanding ...

methodologies to design and optimize new molecules. Communicate findings in team and project meetings PhD (or equivalent experience) in Computational Chemistry, Medicinal Chemistry, Structural Biology, or related discipline. Strong understanding of drug discovery and SBDD. Experience with molecular modelling software (e.g. Schrödinger, MOE, OpenEye, Cresset, or similar). Familiarity with ...

with management and scientists and advise where possible on IT solutions. This technical work will support the scientific mission of the Laboratory of Molecular Biology to understand life from molecules to organisms. The postholder will have a particular focus on neurobiology, including petabyte scale brain wiring data. Main duties ...

trustworthy methods for genomic and biomedical data. Applicants should have completed, or be close to completing, a PhD in statistics, mathematics, computer science, computational biology, bioinformatics, genomics, or a related field. Evidence of strong quantitative, computational, or methodological research is more important than prior experience in any particular application area. ...

trustworthy methods for genomic and biomedical data.Applicants should have completed, or be close to completing, a **PhD in statistics, mathematics, computer science, computational biology, bioinformatics, genomics, or a related field.** Evidence of strong quantitative, computational, or methodological research is more important than prior experience in any particular application area. Strong ...

infrastructure that unlocks our scientific data and accelerates the discovery of life‐changing treatments. You will work at the intersection of computational engineering and biology, partnering with scientists, ML experts, and DevOps engineers to put powerful AI tools directly into the hands of those driving drug discovery. This role ...

person who'll sit with a scientist to understand what they actually need. It’s a bonus if you have: Experience in drug discovery, biology, or another life science domain Familiarity with knowledge graphs or reasoning over structured or heterogeneous data Experience building evaluation harnesses or testing strategies ...

methods for human pangenome references and collaborate with Dr Gamze Gursoy's group. Applicants should have a PhD in statistics, mathematics, computer science, computational biology, bioinformatics, genomics, or a related #J-18808-Ljbffr ...

Gamze Gursoy’s group to develop privacy-preserving methods for human pangenome references. Applicants should hold a PhD in statistics, mathematics, computer science, computational biology, bioinformatics, or genomics and have strong programming #J-18808-Ljbffr ...

PRRC) where required. Monitor changes to relevant regulations, standards and guidance, assessing their impact on the business and products. Degree in Biomedical Science, Molecular Biology, Genetics, Life Sciences or a related scientific discipline. Significant Regulatory Affairs experience within the medical device and/or in vitro diagnostic (IVD) industry. Strong ...

experimental data and translating DMPK insights to guide compound optimisation and candidate selection. You will work closely on multiple projects with medicinal chemistry and biology teams both at Vernalis and with our collaborators, as well as manage and direct work carried out at external CROs. Key Responsibilities Design, execute ...

Cambridge Biomedical Campus, our dynamic research community includes the University of Cambridge’s Clinical School, major hospitals, the MRC Laboratory of Molecular Biology, and AstraZeneca’s global headquarters. Commitment to Diversity: We are dedicated to increasing diversity within our staff, promoting equitable representation, and supporting hybrid working arrangements. We particularly ...

salary (£40,000 to £55,000 depending on experience). Visa sponsorship available. Be part of a great team working at the intersection of biology, engineering, and data science. Start Date Immediate. Application Process First stage: Video call; Second stage: Face to face interview at the Cambridge office (including ...

medicine and are motivated by the opportunity to make a meaningful impact on patient outcomes. You bring a strong background in bioinformatics, computational biology, statistics, mathematics, or a related discipline, combined with expertise in algorithm development and the analysis of next-generation sequencing data. To be successful in this role ...

customer satisfaction. Prepare marketing materials for specific products and conduct technical training and market promotion activities (e.g., seminars, webinars). Skills required: PhD in Biology, Medicine, or a related field. A background in next-generation sequencing is preferred. Minimum 1+ years of experience in an academic or industrial applied research ...

culture of learning and continuous improvement. Maintain rigorous records and champion safe, high-quality laboratory practice. Requirements Technical PhD or equivalent in Molecular Biology, Plant Biotechnology or related field, with additional relevant postdoctoral or industry experience Proven ability to lead a team to deliver high-quality technical outputs under time ...

team within Translational Medicine in Biomedical Research.Job DescriptionKey responsibilities:Shape and advance AI-driven MIDD by integrating mechanistic modelling and machine learning to bridge biology and clinical outcomes.Design and implement hybrid modelling pipelines where mechanistic simulations generate features for machine learning models.Translate model-derived biomarkers and mechanistic states into clinically … bring appropriate innovation into practice to improve efficiency and scientific impact.Essential requirementsAdvanced degree in life sciences or quantitative discipline (e.g., data science, computational biology, pharmacometrics, bioinformatics, computational chemistry, biomedical engineering or related field).PhD with 5+ years or MSc with 8+ years of relevant experience in drug discovery or development.Strong ...

manufacture impactful products and technologies across a wide range of industries – including healthcare, life science, energy, and communications – and at the intersection of biology, physical science and engineering. Our working culture encourages entrepreneurship, shared ideas and technical collaboration, while providing you with the freedom to do your best work. With ...

About the role A growing biotechnology company in Cambridge is looking for a Scientist to apply machine learning and computational biology to antibody discovery, engineering and optimisation. You will develop and validate models using internal and external datasets, working closely with experimental scientists to turn the results into testable recommendations … environment. Key responsibilities Develop, train, validate and evaluate machine-learning models using internal and external biological datasets. Apply machine learning, statistical modelling and computational biology to antibody discovery, design, optimisation and candidate selection. Analyse antibody sequence, structure, binding, functional and developability data to support optimisation of affinity, specificity, stability, solubility ...