Saffron Walden, England, United Kingdom Hybrid / WFH Options
Wellcome Sanger Institute
ensuring grants and key objectives are delivered. About Us: Open Targets is a public-private partnership involving the Wellcome Sanger Institute, a world-leading genomics institution, EMBL’s European Bioinformatics Institute (EMBL-EBI), a global leader in the management, integration and analysis of public domain life science data, and world-leading pharmaceutical companies GSK, Sanofi, MSD, Pfizer, and Genentech The … drug discovery and present them at national and international conferences. MSc and/or Ph.D. or equivalent experience in a relevant quantitative discipline (e.g., Computer Science, Computational Biology, Genetics, Bioinformatics, Physics, Engineering, or Applied Statistics/Mathematics) Proven experience using advanced statistical techniques, machine learning, and modern deep learning techniques. Previous ML work experience in scientific/academic environment (RA 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 ❯
Bioinformatics Scientist Biosurv International is a small pathogen surveillance NGO working globally to solve problems and advance infectious disease research and control. We are based at Porton Science Park, near Salisbury, and partner with laboratories across Africa and Asia to support infectious disease detection, surveillance and response using genomic technologies, to improve public health . Role description As a Bioinformatics … new skills, contributing directly to the success of our startup and the impact of our research. Knowledge & Skills Essential: Minimum of an undergraduate degree in a relevant field (e.g., bioinformatics, biology, molecular biology, genomics, computational biology, computer science, or a related discipline) Knowledge of bioinformatic resources and tools to analyse and interpret sequencing data Experience working in the Linux environment … two references, and a personal statement outlining how your experience and skills match the Essential and Desirable criteria noted above, to admin@biosurvinternational.org. If you are passionate about using bioinformatics to make a difference in global health and are excited to be a part of a dynamic startup environment, we encourage you to apply and join us on our mission More ❯
action. Act with Uncompromising Integrity. Be honest, transparent, and committed to doing what's right in every situation. Make clear commitments and follow through. Position Summary The Scientist II, Bioinformatics develops and implements computational methods for analysing proprietary biological data, supporting cross-functional teams with tailored bioinformatics solutions. Will have expertise in omics data analysis, statistical methods, and scientific programming. … to innovative computational research in gene therapy, advancing AskBio's platform-enabled product approach. This is a on-site based position in UK Edinburgh reporting to the Sr. Director, Bioinformatics and Machine Learning Job Responsibilities Develop and implement computational methods and algorithms for the analysis of proprietary biological data Collaborate with cross-functional international teams to understand data analysis needs … and provide tailored bioinformatics solutions Contribute to the design and optimisation of bioinformatics pipelines and workflows to improve data processing and analysis Stay up to date with advancements in bioinformatics, machine learning, and data science, integrating relevant approaches into ongoing work Communicate findings and recommendations effectively to stakeholders, including senior leadership and non-expert audiences Provide mentorship and guidance to More ❯
Cambridge, England, United Kingdom Hybrid / WFH Options
ZipRecruiter
in support of our customers’ scientific initiatives.This role will focus on designing, developing, and implementing generative AI solutions to support cutting-edge research initiatives, including drug discovery, personalized medicine, bioinformatics, and clinical research. The ideal candidate will have deep expertise in AI/ML, particularly in generative models, and a strong understanding of life sciences applications to accelerate research outcomes More ❯
EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity’s enduring challenges. GBI is looking for a Head of Bioinformatics to lead a dynamic team at the forefront of biological data science. In this pivotal role, you will drive the development and implementation of cutting-edge computational strategies to support … with scientists and technology platform leads, you’ll design robust analytical workflows, manage high-throughput data pipelines, and ensure scientific reproducibility. If you're passionate about advancing discovery through bioinformatics innovation, leadership, and collaboration, this is your opportunity to make a real impact. Key Responsibilities: To lead and manage the informatics and bioinformatics function, delivering robust analytical capabilities to support … the interpretation of genomic, proteomic, metabolomic, and other biological datasets produced by GBI researchers. To develop and implement bioinformatics strategies and workflowsthat support the experimental programmes of GBI, including synthetic biology, genome design, and molecular evolution. To work closely with researchers and platform leads(e.g. sequencing, mass spectrometry, flow cytometry) to develop and refine computational pipelines for analysing biological data. More ❯
Sr Bioinformatics Scientist - Computational Biology (Protein Design) page is loaded Sr Bioinformatics Scientist - Computational Biology (Protein Design) Apply locations England - Cambridge time type Full time posted on Posted Today job requisition id 40753-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 expanding access … 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. Senior Bioinformatics Scientist - Computational Biology (Protein Design) Cambridge, UK - Onsite The role is fixed-term for 6 months and based at Cambridge, England . This is an exciting opportunity to be a … remuneration package which includes annual bonus scheme, generous pension, company share purchase scheme and first-class fitness club membership. Position summary We are seeking a talented and driven Senior Bioinformatics Scientist - Computational Biology (Protein Design) - to join our dynamic interdisciplinary protein engineering group that is responsible for the development of novel protein reagents for high-throughput sequencing. The successful candidate More ❯
Job Summary The Bioinformatics data scientist will support the data science and data analysis needs in our Research and Development team to understand molecular data in our GI projects and develop diagnostic products. This role will be responsible for identifying and analysing appropriate public molecular datasets including genomics, methylation, or gene expression data and integrating it with internal molecular datasets … and are committed to continuous improvement We value user engagement We are committed to quality with a strong testing culture Person Specification You have a MSc or PhD in Bioinformatics/Statistical Genetics/Computational Biology/Biostatistics/Mathematics/Physics You have a strong understanding of data science, either through experience in academia through a PhD or a More ❯
Job Details: Bioinformatics/Data Engineer Full details of the job. Vacancy Name Vacancy No Vacancy No VN480 Employment Type Employment Type Full Time Location of role Location of role Oxford, UK Key Responsibilities Key Responsibilities Collaborate with interdisciplinary teams to develop and implement algorithms, software tools and databases for the analysis and interpretation of biological data. Will assist in … performance, scalability, and accuracy. • Contribute to development and maintenance of custom software applications, databases and production-quality modules for the Immunocore pipeline database system. • Stay current with advances in bioinformatics and data science and integrate new methodologies into our workflows. • Collaborate with cross-functional teams to integrate bioinformatic solutions into broader research projects and workflows. • Document and test code, algorithms … a Data Engineer or in a similar role • Skills in R programming • Experience of pipeline development with knowledge of domain specific languages, such as Nextflow and Snakemake • Familiarity with bioinformatics tools and methodologies • Exposure to the analysis of large biological omics-based datasets • Professional experience in the development of web-based applications • Experience with autoscaling cloud tools, or HPC • Previously 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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms. Qualifications PhD/MSc (or equivalent professional experience) in data science/AI, computer science, bioinformatics or other related field. #J-18808-Ljbffr More ❯
