1 to 25 of 123 Bioinformatics Jobs in London

potential of deep sleep to treat conditions such as Alzheimer's disease, Parkinson’s disease, and other neurological disorders. We are seeking a visionary Data scientist to lead our bioinformatics and data analysis research efforts. Position Summary We are seeking an experienced and highly motivated Associate Director/Director of Bioinformatics and Computational Biology to lead bioinformatics efforts within our … will bring expertise in multi-omics integration, machine learning, and algorithm development, with a passion for applying computational approaches to solve complex biological problems. Key Responsibilities · Lead and manage bioinformatics and computational biology initiatives to support our neuroscience research and drug discovery programs. · Develop and implement pipelines for analysing high-dimensional multi-omics data (e.g., genomics, transcriptomics, epigenomics, proteomics, metabolomics … software engineers, to integrate computational models with experimental and clinical data. · Contribute to the design, execution, and interpretation of high-throughput sequencing and functional genomics studies. · Develop and maintain bioinformatics tools, databases, and resources to support data-driven decision-making. · Stay up to date with emerging technologies and methodologies in computational biology, artificial intelligence, and neuroscience research. · Communicate findings through More ❯

us if you're inspired to tackle meaningful challenges. The Role This is an exciting opportunity to join Lifebit's growing User Success team. We are looking for a Bioinformatics Solutions Architect (mid-level role) with experience in one or more of the following specialties: Bioinformatics/Computational Biology, Statistical Genetics and/or Genomic Medicine with a substantial computational … scientists, academics, software engineers, and clients to solve challenges in the world of Genomics and Precision Medicine. You will provide exceptional technical knowledge, problem solving and thought leadership in Bioinformatics, and use these to showcase Lifebit Products and analytical modules to researchers from Pharmaceutical, academia and private healthcare companies. You will develop relationships with platform end-users and work with … Your Responsibilities Own engagement with a diverse group of users across industries. Onboard and train users to successfully use and adopt Lifebit products. Provide platform, analysis, programming and technical bioinformatics user support. Develop pipelines and applications to serve user use cases. Collaborate with colleagues in Product, Commercial and Executive teams to shape user success strategy. Lead and create Lifebit training More ❯

drive the collaborative work towards scientific publication Design experiments to understand the utility of our technology in various aspects Provide feedback to internal product development teams (molecular biology and bioinformatics software) to drive optimisation of our assays and bioinformatics pipelines Interact with biomodal's customers to support their use of our technology to deliver on their research questions and to … control, code review, agile, testing, etc.) Experience deploying systems on cloud platforms (GCP, AWS) Experience with genomic workflow platforms (DNANexus, NextFlow) This is an ideal opportunity for an experienced bioinformatics/computational biology leader to take the reins of a high-impact team in a business at an exciting stage of its evolution. Benefits Annual bonus scheme Health and Life More ❯

teams to integrate genomic and histology imaging analysis. Communicate findings effectively to both technical and non-technical audiences. Key Qualifications: PhD (or equivalent experience) in Machine Learning, Computational Biology, Bioinformatics, or a related quantitative field. Strong programming skills with a solid understanding of algorithms and data structures. Proficiency in Python with hands-on experience using open-source ML frameworks such More ❯

drive the collaborative work towards scientific publication. Design experiments to understand the utility of our technology in various aspects. Provide feedback to internal product development teams (molecular biology and bioinformatics software) to drive optimisation of our assays and bioinformatics pipelines. Interact with biomodal's customers to support their use of our technology to deliver on their research questions and to … cloud platforms (such as GCP or AWS). Experience with genomic-specific computational workflow platforms (such as DNANexus or NextFlow). This is an ideal opportunity for an experienced bioinformatics/computational biology leader to take the reins of a high impact team in a business at an exciting stage of its evolution. Benefits Annual bonus scheme Health and Life More ❯

ongoing development and improvement of business practices and processes. Support the project team in all aspects of programming activities. Qualifications Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc. … . Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases (e.g., SQL) and knowledge of data integration practices. Ability to prioritize and manage multiple projects in a fast-paced, deadline-driven environment while delivering high-quality results. A quick learner able to rapidly grasp and master new/changing business needs. Excellent communication skills More ❯

in computational oncology, machine learning, and data science methodologies. Manage multiple projects simultaneously and ensure timely, high-quality deliverables. Must-Haves MSc/PhD in data science, computational biology, bioinformatics, biostatistics, or a related field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data … drug response modeling. Experience working as an applied scientist or closely with wet-lab biologists. Experience with collaborative coding and version control (ideally GitHub). Experience developing and deploying bioinformatics pipelines. Familiarity with cloud computing environments (ideally AWS) for large-scale data analysis. Whats In It For You London office/lab space Competitive compensation in line with industry standards More ❯

in computational oncology, machine learning, and data science methodologies. Manage multiple projects simultaneously and ensure timely, high-quality deliverables. Must-Haves: MSc/PhD in data science, computational biology, bioinformatics, biostatistics, or a related field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data … drug response modeling. Experience working as an applied scientist or closely with wet-lab biologists. Experience with collaborative coding and version control (ideally GitHub). Experience developing and deploying bioinformatics pipelines. Familiarity with cloud computing environments (ideally AWS) for large-scale data analysis. What’s in it for You: London office/lab space Competitive compensation in line with industry More ❯

findings through reports, presentations, and scientific publications to both internal and external stakeholders. Build and maintain collaborations with academic institutions and industry partners. Must Haves: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. Professional hands-on experience with pretraining or fine-tuning foundation models for computer vision tasks. Strong publication record in top-tier ML/ More ❯

Computer Science, Informatics, Data Science, 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 frameworks such as PyTorch (or More ❯

Staff Bioinformatics Scientist – Multi-omics Technical Lead page is loaded Staff Bioinformatics Scientist – Multi-omics Technical Lead Apply locations England - Remote time type Full time posted on Posted 18 Days Ago job requisition id 40354-JOB What if the work you did every day could impact the lives of people you know? Or all of humanity?At Illumina, we are … the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Staff Bioinformatics Scientist – Multi-omics Technical Lead Cambridge - Onsite/Hub and Hybrid or Europe remote We have an exciting new opportunity for a Staff Bioinformatics Scientist to join our Multiomics Bioinformatics … flexible time off, private medical insurance, compassion and care time off, leisure travel insurance, pension, employee stock purchasing program, volunteer time off, and much more! The Role The Multiomics Bioinformatics organization supports products spanning epigenetics, transcriptomics, and proteomics. The Staff Bioinformatics Scientist will be responsible for developing novel algorithms and bioinformatics methods to extract biological meaning from Illumina’s growing More ❯

capture to planning and execution. Stay informed about advancements in relevant scientific research and apply this knowledge to your work. Capabilities: Master’s or PhD in Computational Biology (e.g., Bioinformatics) or Artificial Intelligence applied to scientific problem-solving. Proven track record of impactful contributions to scientific projects. Advanced proficiency in Python or experience with other programming languages (e.g., Java, C … skills, capable of conveying complex scientific concepts to diverse audiences. Inclusive team player, open to learning from others and contributing to a collaborative environment. Desire to rapidly transition novel bioinformatics AI research into production environments to transform drug discovery. Beneficial Skills and Experience: Expertise in one or more of the following areas: Artificial Intelligence: Experience with state-of-the-art … methods such as graph neural networks, transformers, Gaussian processes, generative modeling, or reinforcement learning. Bioinformatics: Knowledge of biology data storage, formats, and protein-structure prediction; proficiency with toolkits such as BioPython Protein Dynamics: Experience applying MD techniques to protein-protein interactions including using toolkits (e.g., OpenMM, Rosetta) Integrative structural modelling: Experience integrating structural data, e.g. CryoEM or HDX-MS with More ❯

in computational oncology, machine learning, and data science methodologies. Manage multiple projects simultaneously and ensure timely, high-quality deliverables. Must-Haves: MSc/PhD in data science, computational biology, bioinformatics, biostatistics, or a related field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data … drug response modeling. Experience working as an applied scientist or closely with wet-lab biologists. Experience with collaborative coding and version control (ideally GitHub). Experience developing and deploying bioinformatics pipelines. Familiarity with cloud computing environments (ideally AWS) for large-scale data analysis. What’s in it for You: London office/lab space Competitive compensation in line with industry More ❯

methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific More ❯

methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical, and industry domains. Required Qualifications PhD (or MSc with equivalent experience) in Computational Biology, Bioinformatics, Computer Science, Statistics, Physics , or related quantitative discipline. Strong background in machine learning and statistical modeling , with a demonstrated ability to solve complex biological problems. Proven track record of scientific More ❯

findings through reports, presentations, and scientific publications to both internal and external stakeholders. Build and maintain collaborations with academic institutions and industry partners. Must Haves: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. High level of enterprise experience working in Computer Vision and SME experience in three key fields: Self-supervised learning Vision transformers. Professional hands More ❯

findings through reports, presentations, and scientific publications to both internal and external stakeholders. Build and maintain collaborations with academic institutions and industry partners. Must Haves: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. High level of enterprise experience working in Computer Vision and SME experience in three key fields: Self-supervised learning Vision transformers. Professional hands More ❯

Consultant - Drug Discovery - Bioinformatics Join to apply for the Consultant - Drug Discovery - Bioinformatics role at ZS Consultant - Drug Discovery - Bioinformatics Join to apply for the Consultant - Drug Discovery - Bioinformatics role at ZS Get AI-powered advice on this job and more exclusive features. ZS is a place where passion changes lives. As a management consulting and technology firm focused on … networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Drug Discovery Consultant - Bioinformatics ZS’s Discovery Venture partners with clients to develop and deploy in silico approaches that accelerate the discovery of safer, more effective therapeutics. We work closely with other ZS practices … external stake Lead simultaneous client facing projects across ZS Discovery to reinvent pharmaceutical discovery, elucidate complex disease biology and pioneer novel therapeutics. Provide expertise in biostatistics and/or bioinformatics applications, such as epidemiology, population genetics, genomics, proteomics, bulk or single cell RNA-sequencing, and/or systems biology Partner with ZS leaders and client service teams to support selling More ❯

networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Drug Discovery Consultant - Bioinformatics ZS's Discovery Venture partners with clients to develop and deploy in silico approaches that accelerate the discovery of safer, more effective therapeutics. We work closely with other ZS practices … external stakeholders. Lead simultaneous client facing projects across ZS Discovery to reinvent pharmaceutical discovery, elucidate complex disease biology and pioneer novel therapeutics. Provide expertise in biostatistics and/or bioinformatics applications, such as epidemiology, population genetics, genomics, proteomics, bulk or single cell RNA-sequencing, and/or systems biology. Partner with ZS leaders and client service teams to support selling More ❯

to customers through our proprietary data analytics. Key Responsibilities Design, build, and maintain Elaniti’s web applications and customer-facing APIs, providing users with geospatial insights powered by our bioinformatics pipeline. Develop and manage a robust deployment infrastructure, ensuring seamless, secure, and scalable delivery using best practices and DevOps principles. Create and maintain APIs to facilitate efficient communication between internal … external services and backend systems. Collaborate with scientists (biogeochemical, wet chemistry, microbiological), data scientists (machine learning engineers), and agronomists to support hypothesis development and testing. Partner with Elaniti’s bioinformatics team to integrate our API and web application with the in-house bioinformatics pipeline, delivering actionable insights to customers. About You Education Bachelors, Master’s or PhD degree in Computer More ❯

researcher to drive innovative and impactful projects leveraging cheminformatics, machine learning, and computational chemistry for drug discovery. The successful candidate will demonstrate strong abilities in cheminformatics and/or bioinformatics, including knowledge of established techniques and cutting-edge machine learning methods for modeling molecular properties and interactions with complex systems. They will also have experience with scientific programming and data … relevant experience including hands-on experience with informatics, machine learning, and computational chemistry applied to drug discovery in the private sector, like biotech or pharma Experience with cheminformatics and bioinformatics methods (e.g., similarity/substructure searching, reaction-based enumeration, sequence alignment, etc.) Experience with molecular property prediction and multi-objective optimization using machine learning and/or deep learning methods … Experienced with common python toolkits for scientific computing (e.g., numpy, pandas, scipy), machine learning (e.g., scikit-learn, pytorch), and cheminformatics/bioinformatics (e.g., rdkit, openeye, biotite, biopython) Familiarity running simulations and training models on high-performance computing (GPU) environments for corporate R&D, innovation labs, or academic research An interest in solving scientific problems in chemistry and biology via computational More ❯

generative models, including distributed training across GPU clusters or cloud platforms (e.g. AWS, Azure, Lambda) Strong critical thinking, strategic planning, and problem-solving abilities Experience in protein or DNA bioinformatics Proficiency in MLOps and machine learning infrastructure Background in software engineering and data pipelines (e.g. using Airflow) Familiarity with cloud-based model deployment Exposure to Agile project management methodologies This More ❯

to work effectively both independently and collaboratively within a remote, agile team environment. Qualifications A Master's degree in a relevant field such as Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative discipline with a focus on scientific applications is preferred. Relevant work experience in a data science role within scientific publishing, research, or a related field is More ❯

active biological and solid-state 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 work with experts in these More ❯

would be a plus: PhD - in a STEM subject and experience in related field i.e. Statistics, Data Science or equivalent experience (Mathematics, Statistics, Information Science, Computer Science, ML, AI, Bioinformatics or similar) Demonstrated experience in product ownership and stakeholder management. Demonstrated experience with Azure stack (databricks, AMLS, etc.) Knowledge of the data landscape in healthcare (EHR, claims data, real world More ❯