1 to 25 of 27 Permanent Bioinformatics Jobs

obtaining research funding. Supervise and support junior team members, promoting a collaborative research environment. Profil What you bring for this position: MSc degree (obtained or in final stages) in bioinformatics or related fields Background in molecular and cancer biology Experience in genomics, bioimage and/or spatial tissue analysis Solid understanding of statistics and mathematical principles Experience in machine learning More ❯

AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with More ❯

and visual outputs (e.g. plots, dashboards). Comfortable working in Jupyter Notebooks and collaborating with experimental teams. A degree (BSc or MSc) in a quantitative field such as Biology, Bioinformatics, Statistics, Data Science, or related discipline. There is an excellent salary and benefits package on offer in addition to hybrid working. Bond Williams Professional Recruitment are an equal opportunity employer More ❯

pride in delivering quality results. Advantageous Skills and Experience Industry Domain Knowledge: Experience in the life sciences, biotech, or other R&D-intensive industries. Understanding of domains like genomics, bioinformatics, or drug discovery can help you better support our teams (though it's not a strict requirement). Scaling Startups: Prior experience at a high-growth startup or in scaling More ❯

skills, with the ability to build strong relationships and align cross-functional teams across scientific and technical domains. Bonus: A degree or equivalent work experience in chemistry, computational biology, bioinformatics, or a related scientific field. Working Location & Compensation This is an office-based, hybrid position at either our London or Milton Park office located in London or Oxford, England . More ❯

skills, with the ability to build strong relationships and align cross-functional teams across scientific and technical domains. Bonus: A degree or equivalent work experience in chemistry, computational biology, bioinformatics, or a related scientific field. Working Location & Compensation This is an office-based, hybrid position at either our London or Milton Park office located in London or Oxford, England . More ❯

skills, with the ability to build strong relationships and align cross-functional teams across scientific and technical domains. Bonus: A degree or equivalent work experience in chemistry, computational biology, bioinformatics, or a related scientific field. Working Location & Compensation: This is an office-based, hybrid position at either our London or Milton Park office located in London or Oxford, England . More ❯

required as necessary to meet with clients. Frequency of travel is dictated by business need, estimated at 1-3 short visits per year. You will have: A Life sciences, bioinformatics or software-related bachelors degree (2.1 or higher) or equivalent (relevant post graduate qualification desirable) 2+ years relevant professional experience in a customer facing role (such as at a CRO More ❯

implementation and deployment. This role strongly contributes to the strategic vision for the application of cutting-edge AI methodologies at Exact Sciences and work as a partner with biostatisticians, bioinformatics scientists, and data scientists to further our goal of helping eradicate cancer by preventing it, detecting it earlier, and guiding personalized treatment. Essential Duties Include, but are not limited to … the following: Maintain deep expertise in one or more AI technology areas. Clearly present and communicate relevance of technological advances as relevant to our work in biostatistics, bioinformatics and data science at Exact Sciences. Develop perspectives on "AI technology affordance": what do these advances in AI technology allow us to do (more efficiently and/or more effectively) that we … couldn't do before. Work with stakeholders to discover and refine requirements for ML- and AI-based solutions to business problems with a focus on bioinformatics, biostatistics and data engineering applications. Collaborate with other ML/AI engineers and relevant partners to design software solutions that utilize state-of-the art artificial intelligence and machine learning techniques. Work with other More ❯

Harmonization Platform: You'll contribute to the conceptualization and development of a data harmonization platform to support multi-study research. Requirements a degree (Master's or PhD) in informatics, bioinformatics or related field is preferred. Alternatively, candidates (m/f/d) with profound experience in biomedical or healthcare data analysis are welcome to apply strong programming skills in R More ❯

patients. Job Description This is a key position for IMU Biosciences. The successful candidate must be comfortable, motivated and able to collaborate closely with colleagues across disciplines (laboratory, scientific, bioinformatics, legal and commercial) and seniority to formulate, articulate, position and deliver high value partnerships for IMU. These partnerships will focus on those with a commercial component but include others that More ❯

Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate across interdisciplinary teams Why Join Build infrastructure that directly supports breakthroughs More ❯

Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate across interdisciplinary teams Why Join Build infrastructure that directly supports breakthroughs More ❯

placement in Data, Automation, & Predictive Sciences (DAPS), you must be studying for an Undergraduate Degree in a subject related to the role. Includes Life sciences, Biomedical Sciences, Engineering, Mathematics, Bioinformatics, Computer Science, Business Analysis, Information Sciences, Statistics, Data Sciences, Biology, Chemistry, Physics or related fields. Please read the degree requirements for each role carefully before applying. Other requirements: You will … contains multiple roles. All roles are within the Data, Automation & Predictive Sciences Department. Please read each description carefully before applying. Role 1 - Research Data Science Degree requirements: Life sciences, Bioinformatics, Computational sciences, Statistics, Mathematics Placement Overview: Designing, building, and deploying data analyses and predictive models for scientific discovery in GSK's research areas. Implementing and benchmarking computational methods leveraging cloud More ❯

Job summary Applications are invited for a Bioinformatician based in the Clinical Genetics and Genomics Laboratory in the Royal Brompton Hospital. The applicant will be part of the bioinformatics team responsible for the delivery of the genetics diagnostic service, as well as be involved in the development of further bioinformatics pipelines and tools in order to expand the spectrum of … genetics tests using Next-Generation and Long-Read Sequencing, as well as other assays. The post-holder will optimally have some background in human molecular genetics and bioinformatics and will take responsibility for automated DNA sequence annotation and variant detection, interpretation and collation of variants, report generation, database development, implementation of visualisation tools and data warehousing and they will have … experience in delivering bioinformatics training and STP curriculum. They will be responsible for optimising and streamlining workflows with integrated pipelines to simplify and speed up data analysis for a large and growing dataset, developing tools to aid the services whilst ensuring alignment with UKAS accreditation. The post-holder are expected to have experience in delivering bioinformatics training and STP curriculum. More ❯

Solid understanding of probabilistic models (HMMs, Bayesian inference, graphical models). Experience designing or adapting dynamic programming algorithms. A graduate degree (PhD or MSc) in Computer Science, Mathematics, Physics, Bioinformatics, or a related field Ability to work in a research-style setting and translate ideas into production-ready code. There is an excellent salary and benefits package on offer in More ❯

security and privacy frameworks: RBAC, encryption, secure API design, identity/auth protocols (OAuth2, OpenID) Track record delivering in regulated or healthcare-adjacent domains Desirable: Experience with genomic data, bioinformatics tools, or medical device software Familiarity with SaMD regulatory frameworks (FDA, EU MDR) Exposure to health data standards (FHIR, HL7, OMOP) and privacy regulations (GDPR, HIPAA) Experience leading penetration tests More ❯

data science methods to expedite the Design-Make-Test-Analyze discovery cycle Lead the development of production-grade toolkits and libraries at the intersection of cheminformatics, computational chemistry, structural bioinformatics and artificial intelligence to continuously improve the productivity and capabilities of our drug discovery processes Define research and development priorities in the cheminformatics space including robust timelines and deliverables Collaborate … cross-functionally within the Chemistry, Biology and Data Science teams to ensure successful planning and execution of discovery operations. The Experience You'll Need: Degree in chemistry, cheminformatics, structural bioinformatics a related field or a degree in computer science with the chemistry knowledge stemming from extensive professional experience Sufficient knowledge in medicinal chemistry to understand drug design and how computational More ❯

role in analysing RNAseq data (bulk, single-cell, spatial), developing methodologies and supporting research activities . About you The successful candidate must have: Master's degree in Computational Biology, Bioinformatics, Computer Science, or related subject Proven experience of bioinformatics analyses and interpretation in one or more of the following key areas ( NGS analysis of WES/WGS/RNAseq (bulk … be provided byDr Christophe Cisarovsky, Clinical Oncologist in the GI clinic at The Royal Marsden Hospital and MD-PhD, together with Group Leader Prof Anguraj Sadanandam; for technical and bioinformatics questions, supervision will be provided byProf Anguraj Sadanandam and members of his bioinformatics team. The candidate will primarily perform bioinformatic analyses and contribute tofast-moving projects with the expectation of More ❯

applications. To train, assist and feedback to other scientists who can or wish to utilise next-generation sequencing in a walk-up fashion. To analyse sequencing data using existing bioinformatics tools and pipelines, and bespoke solutions if necessary, delivering actionable insights to collaborating scientists. To continuously curate an expert understanding on the underlying technologies in the full sequencing workflow (Experiment … DNA extraction - library preparation - sequencing - analysis, and associated QC steps). To have a close working relationship with scientists from automation and bioinformatics teams. To contribute to the maintenance, calibration, and troubleshooting of sequencing instruments, ensuring maximal performance and data quality. To stay abreast of new sequencing technologies and methodologies, integrating improvements to enhance performance, throughput and cost-efficiency. Essential … biology, or computational biology. Hands-on experience with next-generation sequencing technologies (e.g., Illumina, Oxford Nanopore). Proven ability to develop, adapt, and troubleshoot sequencing workflows. Familiarity with basic bioinformatics tools for sequencing analysis and interpretation OR confident in multiple programming languages and coding/simple software development. A track record of working effectively in a collaborative, multi-disciplinary research More ❯

AI applications and deploying them into production. Experience working with cloud platforms, ideally Google Cloud Platform (GCP) andBigQuery. Proficiencyin working with and querying global scale datasets. Familiarity working with bioinformatics, life sciences or geospatial data. Understanding of software engineering best practices, including version control (e.g. Git), CI/CD, and testing. Understanding ofMLOpsprinciples and monitoring and evaluation tools. Excellent communication … ability todistilcomplex ideas for diverse audiences. A collaborative mindset and a desire to work cross-functionally across a purpose-driven business. Desirable but notrequired: Strong prior experience working with bioinformatics, life sciences or geospatial data in an ecological context. Experience working with software as a service (SaaS)products. What's in it for you Competitive Salary Impactful work with a More ❯

in areas of computer science and computer engineering including but not limited to those with a research focus in Artificial Intelligence (AI) and expertise in neuromorphic computing, cognitive science, bioinformatics, or closely related fields, as well as candidates with interdisciplinary research that bridges AI with emerging areas in cognition, biology, and computation. Areas of specialization may include but are not … serving on departmental and/or college committees.Developing an externally funded research program and conducting research in Artificial Intelligence (AI) and/or Deep Learning, specifically, in applications with bioinformatics and/or computational biology. Also publishing research results in professional journals and refereed conference proceedings.Contributing (at both the graduate and undergraduate level) to the department's educational and mentoring More ❯

product teams to shape the future of scientific software. RESPONSIBILITIES Identify IT & Data Science Pain Points and Define Key Success Metrics : Engage deeply with IT leaders, data scientists, and bioinformatics specialists at biotechnology companies to understand their critical pain points related to software systems, data management, and analysis, and collaboratively define key metrics to measure the success of Benchling in … IT environments and shaping the product roadmap to better serve the needs of IT and data science users. QUALIFICATIONS Bachelor's degree in Computer Science, Information Technology, Data Science, Bioinformatics, or a related technical field (advanced degree preferred). 5+ years of direct experience working with complex software systems, with a strong emphasis on cloud-based, enterprise-scale IT infrastructure More ❯

ways of working (e.g. git/GitHub, DevOps tools for deployment). Preferred Requirements Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration More ❯

ways of working (e.g. git/GitHub, DevOps tools for deployment). Preferred Requirements Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration More ❯