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 ❯
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 ❯
and IT experts, promoting best practices in AI ethics, model explainability, and reproducibility. What You’ll Bring Master’s or PhD in Data Science, Bioinformatics, Computer Science, or related field. Previous experience working in pharma/life science on a global scale Extensive experience in data, AI strategy or machine More ❯
and IT experts, promoting best practices in AI ethics, model explainability, and reproducibility. What you’ll bring Master’s or PhD in Data Science, Bioinformatics, Computer Science, or related field. Previous experience working in pharma/life science on a global scale Extensive experience in data, AI strategy or machine More ❯
on AWS Collaborate with a cross-functional R&D team Present findings and contribute to strategic decisions Requirements: MSc/PhD or equivalent in Bioinformatics, Biochemistry, CS, or related field +2 years’ experience in Data Science outside of Academia Strong Python and cloud computing (AWS/GCP/Azure) skills More ❯
london, south east england, united kingdom Hybrid / WFH Options
Hlx Life Sciences
on AWS Collaborate with a cross-functional R&D team Present findings and contribute to strategic decisions Requirements: MSc/PhD or equivalent in Bioinformatics, Biochemistry, CS, or related field +2 years’ experience in Data Science outside of Academia Strong Python and cloud computing (AWS/GCP/Azure) skills More ❯
for applying tech to solve healthcare challenges. Non-essential skills/nice to have: Experience or understanding of Neural Networks Experience with Biotechnology/Bioinformatics Familiarity with AWS, Kubernetes, or RESTful APIs. Exposure to regulated medical software environments. If you are interested, please don’t hesitate to apply or send More ❯
for applying tech to solve healthcare challenges. Non-essential skills/nice to have: Experience or understanding of Neural Networks Experience with Biotechnology/Bioinformatics Familiarity with AWS, Kubernetes, or RESTful APIs. Exposure to regulated medical software environments. If you are interested, please don’t hesitate to apply or send 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 ❯
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 ❯
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 ❯
refine computational pipelines for data analysis and visualisation. Contribute to advancing methodologies for interpreting complex biological datasets. Professionally, you have PhD in computational biology, bioinformatics, or a related field. Proficiency in Python for data analysis and computational modelling. Strong problem-solving and analytical skills in handling biological data. Ability to More ❯
digital twin technology. Multi-Omics Integration: Develop and refine foundation models across omics platforms into a unified cell representation. Collaboration: Work with experts in bioinformatics, drug discovery, and AI to validate models and integrate multi-modal data. Client & Partner Engagement: Support product and service teams in translating AI models into More ❯
computer aided drug design (ideally in an industrial setting) Background in machine learning Ideally, you will also have: Experience in molecular simulation, cheminformatics or bioinformatics Experience with advanced machine learning methods (generative modelling, graph neural networks) Not sure if you meet the requirements? We recognise that great candidates come from More ❯
and evaluations. Additional/Development Areas Model deployment to ensure flexible and scalable inference access to the wider Data Science team. Collaboration with the bioinformatics team to ingest, standardize, and QC data from multiple sources (internal and external) for use in training pipelines. Support for the wider ML team on More ❯
are built in Go, Java, React & MySQL. Preferred Qualifications You have a Bachelor's or Master's degree in Computer Science, Mathematics, Electrical Engineering, Bioinformatics or a similar technical field or equivalent. 5+ years of relevant work experience designing, developing, testing and maintaining software. Familiar with at least one general More ❯
importance of developing a collaborative style and of having fun in the work we do. Master’s or PhD in Life Sciences, Data Science, Bioinformatics, or related fields Good understanding of Early to Pre-Clinical R&D Phase processes, methodologies and innovation/technological advancement around them is desirable Minimum More ❯
digital twin technology. • Multi-Omics Integration: Develop and refine foundation models across omics platforms into a unified cell representation. • Collaboration: Work with experts in bioinformatics, drug discovery, and AI to validate models and integrate multi-modal data. • Client & Partner Engagement: Support product and service teams in translating AI models into More ❯
digital twin technology. • Multi-Omics Integration: Develop and refine foundation models across omics platforms into a unified cell representation. • Collaboration: Work with experts in bioinformatics, drug discovery, and AI to validate models and integrate multi-modal data. • Client & Partner Engagement: Support product and service teams in translating AI models into More ❯
datasets, and communicate your results to the rest of the company. You will also be required to develop and run key stages of our bioinformatics pipelines, streamline data workflows and maintain accurate, up-to-date records in our ELN platform. ... More ❯
strategic collaborations with external stakeholders that align with our data platform product strategy. Why You? Basic Qualifications: Bachelor's or master's degree in Bioinformatics, Computer Science, Software Engineering, Computational Biology, Computational Chemistry, Data Science, or related discipline For candidates with a Bachelor's degree: 6+ years of professional experience … and Confluence. Understanding of life science or biological data is a plus. Demonstrated success in launching and managing high-stakes enterprise engineering products for bioinformatics, data science, AI/ML, and analytics data consumption. Strong analytical and problem-solving skills, with the ability to make data-driven decisions. Proven experience More ❯
strategic collaborations with external stakeholders that align with our data platform product strategy. Why You? Basic Qualifications: Bachelor's or master's degree in Bioinformatics, Computer Science, Software Engineering, Computational Biology, Computational Chemistry, Data Science, or related discipline For candidates with a Bachelor's degree: 6+ years of professional experience … and Confluence. Understanding of life science or biological data is a plus. Demonstrated success in launching and managing high-stakes enterprise engineering products for bioinformatics, data science, AI/ML, and analytics data consumption. Strong analytical and problem-solving skills, with the ability to make data-driven decisions. Proven experience More ❯
strategic collaborations with external stakeholders that align with our data platform product strategy. Why You? Basic Qualifications: Bachelor’s or master’s degree in Bioinformatics, Computer Science, Software Engineering, Computational Biology, Computational Chemistry, Data Science, or related discipline For candidates with a Bachelor’s degree: 6+ years of professional experience … and Confluence. Understanding of life science or biological data is a plus. Demonstrated success in launching and managing high-stakes enterprise engineering products for bioinformatics, data science, AI/ML, and analytics data consumption. Strong analytical and problem-solving skills, with the ability to make data-driven decisions. Proven experience More ❯
as well as guiding the design and delivery of the data platforms, dashboards and tools with a responsibility for surveillance systems and the UKHSA bioinformatics capability. We work with Agency-wide stakeholders, business owners and suppliers to revolutionise enterprise data capability and technology. This critical post will lead the Service More ❯
