1 to 25 of 90 Bioinformatics Jobs in England

Engineering, or related Experience (classroom/work) in Machine learning, Natural Language Processing, Algorithmic Foundations of Optimization, Data Science, Data Mining and/or Bioinformatics Experience with database systems such as SQL, MongoDB Experience on general programming languages: Python, C++, Java, etc. Experience with deep learning, machine learning and NLP More ❯

advancements in AI/ML and computational biology, contributing to internal knowledge-sharing and innovation. Requirements PhD or MSc in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or a related field. Strong experience in developing and applying machine learning models, particularly in deep learning, probabilistic modeling, and/or NLP. More ❯

elements to bring single molecule-based sequence detection to scale. Developing this unique platform requires expertise across a range of fields including Software Engineering, Bioinformatics, Computational Sciences, Electrical Engineering, Mechanical Engineering, Physics, Biology, Chemistry, and related fields. As a Senior Software Developer in Test, you will have the opportunity to More ❯

We are looking for professionals with these required skills to achieve our goals: BS degree in computer science or equivalent quantitative science fields (e.g., bioinformatics, applied math, statistics, engineering) 3+ years of data science and machine learning developer experience in high-velocity, high-growth companies. Alternatively, a strong background in More ❯

Confluence. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Master's degree or PhD within Multiomics, Computational Chemistry, Bioinformatics, Computational Biology, Data Science, Computer Science/Software Engineering, or related discipline. Strong analytical and problem-solving skills, with the ability to make data-driven More ❯

modelling is essential. The candidate will be educated to Master’s (required) or PhD degree (strongly preferred), ideally within Toxicology, Computational Chemistry, Computational Biology, Bioinformatics, or related quantitative field. They will present substantial level of relevant experience, which includes: Research experience in the field of drug discovery for evaluating product More ❯

commercial teams on the biomarker and/or AI strategy, execution, and delivery of assigned projects. Your Experience · Ph.D. in data science, biostatistics, pharmacology, bioinformatics, mathematics, or other quantitative field (or equivalent). · More than 3 years experience in pre-clinical and clinical drug development with extensive exposure to clinical More ❯

or C/C++ programming. Competence in Linux or OS X programming environments. Software version control system (e.g. Git, GitHub, Bitbucket, etc). Desirable Bioinformatics experience. Coding theory or Information theory or Cryptography. Laboratory automation. Biosecurity experience. DNA data storage experience. Molecular computation, e.g. DNA computing, or molecular fabrication, e.g. More ❯

to boost efficiency, effectiveness, and reproducibility of ML solutions Qualifications Master's or Doctorate degree in Data Science, Information Systems, Computer Science, Statistics, Mathematics, Bioinformatics or a related field is required Minimum of 5 years of industry experience in Data Science, with demonstrated deployment expertise Demonstrable experience in leading projects More ❯

to boost efficiency, effectiveness, and reproducibility of ML solutions Qualifications Master’s or Doctorate degree in Data Science, Information Systems, Computer Science, Statistics, Mathematics, Bioinformatics or a related field is required Minimum of 5 years of industry experience in Data Science, with demonstrated deployment expertise Demonstrable experience in leading projects More ❯

including target identification, validation, and translational studies. Develop and apply novel analytical approaches to integrate and interpret diverse data types. Requirements A Ph.D. in Bioinformatics, Computational Biology, Biostatistics, or a related discipline, with 3+ years of relevant postdoctoral or industry experience. Solid programming experience in Python and/or R More ❯

including target identification, validation, and translational studies. Develop and apply novel analytical approaches to integrate and interpret diverse data types. Requirements A Ph.D. in Bioinformatics, Computational Biology, Biostatistics, or a related discipline, with 3+ years of relevant postdoctoral or industry experience. Solid programming experience in Python and/or R More ❯

. They work in close partnership with our Platforms teams to ensure we have the right tools and ways of working, and with our Bioinformatics teams to ensure the use of appropriate schemas, vocabularies, and ontologies. Key Responsibilities: Lead a team of data engineers in delivering data and knowledge products More ❯

. About you The Research Fellow - Health Data Scientist will hold at least a PhD in a related field (e.g. computer science, health informatics, bioinformatics) or have a similar level of experience in an academic and/or industrial setting, as well as excellent knowledge of the Python scientific programming More ❯

scientific contributions such as papers or conference communications. Excited to design and implement technical and cultural standards across scientific and technical functions. Preferred Qualifications Bioinformatics data processing and analysis. Experience with cloud computing and containerization. Knowledge of genetics/human genetics. The salary range for Cambridge, UK : Exact compensation may More ❯

scientific contributions such as papers or conference communications. Excited to design and implement technical and cultural standards across scientific and technical functions. Preferred Qualifications Bioinformatics data processing and analysis. Experience with cloud computing and containerization. Knowledge of genetics/human genetics. The salary range for Cambridge, UK : Exact compensation may More ❯

constructive collaboration, and innovation within the team. What You Will Bring to the Role MSc or PhD in Computer Science/Engineering, Data Sciences, Bioinformatics, Biostatistics, or any other computational quantitative science. Minimum of 4-6 years of developing data pipelines & data infrastructure, ideally within a drug development or life More ❯

a key member of a fast-moving biotech startup. Required Qualifications and Skills 2-5 years of experience in DevOps with a preference for Bioinformatics environments or similar big data research disciplines. Proficient with the Linux/Unix environment, tooling and user account administration. Proficient with Git and Git platforms More ❯

with a team of expert data scientists. What you'll bring to the team - Education: Bachelor's in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field, with 3+ years of relevant experience OR a Graduate degree in these fields with 0-3 years of experience. Strong More ❯

chemistry, and hardware ensuring seamless integration and alignment of goals across all departments. Essential skills and qualifications: Bachelor’s degree in Computer Science, Engineering, Bioinformatics or related field. Minimum of 5 years experience/proven expertise in developing AI/Machine Learning applications as a Software Engineer or in a More ❯

scientific contributions such as papers or conference communications. Excited to design and implement technical and cultural standards across scientific and technical functions. Preferred Qualifications Bioinformatics data processing and analysis. Multi source data Integration. Experience with cloud computing and containerization. Knowledge of genetics/human genetics. The salary range for Cambridge More ❯

to patients faster than ever before. The Experience You'll Need Essential skills: PhD or equivalent professional expertise in cheminformatics, computational chemistry, computational biophysics, bioinformatics, or a related field at the intersection of computing and drug discovery. Deep understanding of medicinal chemistry principles and their application in drug discovery. Hands More ❯

to patients faster than ever before. The Experience You'll Need Essential skills: PhD or equivalent professional expertise in cheminformatics, computational chemistry, computational biophysics, bioinformatics, or a related field at the intersection of computing and drug discovery. Deep understanding of medicinal chemistry principles and their application in drug discovery. Hands More ❯

programming background with rich experience in training, developing and implementing machine learning algorithms, with a strong desire to work on the next generation of bioinformatics and biocatalysis predictive tools. Background in Python and experience with PyTorch; TensorFlow and/or JAX is a bonus, as well as knowledge of other More ❯

data interpretation. Work with large-scale biological datasets, ensuring accuracy and efficiency in data processing and analysis. Essential Qualifications & Experience: PhD in Computational Biology, Bioinformatics, Data Science, or a related field. Strong background in biological data analysis with hands-on experience. Proficiency in machine learning (ML), Python, and related computational More ❯