26 to 50 of 65 Bioinformatics Jobs

closely with experimental and machine learning teams to validate computational insights. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in computational biology, bioinformatics, or a related quantitative field. Extensive experience in multi-omics data analysis, including transcriptomics. Proficiency in Python and familiarity with high-performance computing environments. Desirable knowledge or experiences Familiarity with More ❯

working collaboratively with chemists, biologists, platform engineers, cheminformaticians, computational biologists, and data scientists. What we are looking for A post-graduate degree in machine learning, statistics, computer science, cheminformatics, bioinformatics, chemistry, biology, genetics, medicine or a similar area. Experience in applying machine learning techniques to life science applications and datasets. Strong data processing and analysis skills. Confident coding in python More ❯

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 Cambridge Hub and Hybrid We have an exciting new opportunity for a talented Senior Bioinformatics Scientist to join our Illumina team based in Cambridge to support bringing the power … targeted (enriched/amplicon) germline, WGS and targeted somatic (T/N and tumor-only), DNA/RNA, small variants, CNV, and structural variants. Why you As a Senior Bioinformatics Scientist, you will be responsible for developing novel methods to extract biological meaning from genomic samples. You will design solutions and implement them in software in collaboration with others in … to expertise in genomics, next generation sequencing, and a broad ecosystem of related assays and biotechnologies. Our ideal candidate will have a track record of both innovative and pragmatic bioinformatics methods development and delivery, be a proven team player with leadership skills and experience and have the following: Expertise in genomics and experience with analyzing error modes and actionable signal More ❯

Best Workplaces for Women, Best Workplaces for Millennials, and Best Medium Workplaces lists. Summary Insmed Cambridge is looking for a talented Data Scientist or Statistician to join our growing bioinformatics team! Apply your expertise in data science, statistics and programming to accelerate drug discovery and development across diverse projects. Responsibilities Apply analytical and statistical rigour to enable better decision making More ❯

candidates looking to advance their career in a globally renowned research environment. Ideal candidates will hold an undergraduate degree, master's, or equivalent in a quantitative subject such as bioinformatics, statistics, computer science, or a related field. Applicants must possess strong coding and data analysis skills, particularly in R, Python, and other relevant scripting languages. Experience working with large biological … to be awarded PhD in the near future. Research experience equivalent to PhD level will be considered. Undergraduate degree, or Masters or equivalent in a quantitative subject. Skills in bioinformatics computing coding, in languages including R, Python and other scripting languages as is appropriate. Experience of using high performance computing (HPC) systems for scientific computing. Experience of computational biology research More ❯

generative models on HPC GPUs or cloud platforms (AWS, Lambda, Azure) Strong problem-solving skills and critical thinking Strategic planning abilities Additional Skills (desired): Experience with protein or DNA bioinformatics MLOps expertise Software engineering skills, data pipelining (e.g., Airflow), and cloud deployment experience Familiarity with Agile methodologies If you're interested in joining as our new Head of AI, we More ❯

GPUs or cloud platforms like AWS, Lambda, Azure Strong problem-solving skills and critical thinking in AI research Strategic planning abilities Additional Skills (desired): Experience with protein or DNA bioinformatics MLOps expertise Software engineering skills, data pipelining (e.g., Airflow), cloud deployment experience Knowledge of Agile methodologies Interested in joining as our Head of AI? We look forward to hearing from More ❯

real autonomy, and to shape how data is handled across the company. What experience you’ll need to apply: A Master’s or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience 4+ years in a data engineering or similar role, building and maintaining data pipelines Experience with various cloud platforms (as opposed to specialised in one More ❯

Permanent £50,000 - £80,000 Site Based Cambridge, Cambridgeshire, United Kingdom Updated on: 04-04-2025 ROLE OVERVIEW We are currently looking for a Senior Bioinformatics Software Developer to join a leading biotechnology company based in the Cambridge area. As the Senior Bioinformatics Software Developer, you will be responsible for developing and enhancing the company's proprietary profiling platform, which … supports drug discovery based on clinical data. KEY DUTIES AND RESPONSIBILITIES: Design and develop bioinformatics analysis tools and workflows. Implement production pipelines in a managed compute environment. Optimise and streamline production pipelines and processes to meet industry standards. Evaluate and implement new tools and technologies to improve and extend platform capabilities. ROLE REQUIREMENTS: PhD or Masters in Computer Science, Bioinformatics … Proven industry experience working with genomic data within a cloud environment. A working knowledge and practical experience with writing production-level software in Python or Go. Key Words: Senior Bioinformatics Software Developer/Bioinformatics/Software Development/Genomic Data/Cloud Environment/Python/Go/Bioinformatics Tools/Data Analysis/Compute Environment/Biotechnology More ❯

architectures. Collaborate with experimental teams to design and validate computational hypotheses. Present findings and methodologies to internal stakeholders and contribute to publications. Professionally, you have PhD in computational biology, bioinformatics, or a related quantitative field. Extensive experience in multi-omics data analysis, including transcriptomics. Proficiency in Python and familiarity with high-performance computing environments. Desirable knowledge or experiences Familiarity with More ❯

in support of our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value … needs of our scientific teams, including high-performance computing, GPU-accelerated workflows, and research data management. Job Responsibilities Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments Collaborate with global IT teams to ensure infrastructure alignment … administration and engineering Extensive knowledge of virtualization technologies, particularly VSphere Preferred Education, Experience and Skills Experience with WEKA storage systems Knowledge of AI/ML infrastructure requirements Experience supporting bioinformatics workflows Familiarity with container technologies (Docker, Kubernetes) Experience with infrastructure automation tools Understanding of scientific computing software and frameworks Previous experience in biotech or pharmaceutical industries Experience with cloud platforms More ❯

cDNA sequencing methodologies. Other responsibilities include (but are not limited to): Working on own projects as well as assisting new and junior team members with lab work and basic bioinformatics tasks Development and maintenance of specific assays and protocols, including but not limited to; RNA/cDNA sequencing sample prep; transcriptome sequencing; multiplexing; sequence capture/enrichment; modified base detection … nucleic acid for RNA and/or DNA sequencing, including designing and generating synthetic oligonucleotides and/or transcripts Generating sequencing data for downstream bioinformatic analysis Collaborating closely with bioinformatics/software development teams to provide required sequencing data to a defined experimental design Share experimental findings with collaborators: this may involve crafting protocols for publication. Generate and curate QC More ❯

cDNA sequencing methodologies. Other responsibilities include (but are not limited to): Working on own projects as well as assisting new and junior team members with lab work and basic bioinformatics tasks Development and maintenance of specific assays and protocols, including but not limited to; RNA/cDNA sequencing sample prep; transcriptome sequencing; multiplexing; sequence capture/enrichment; modified base detection … nucleic acid for RNA and/or DNA sequencing, including designing and generating synthetic oligonucleotides and/or transcripts Generating sequencing data for downstream bioinformatic analysis Collaborating closely with bioinformatics/software development teams to provide required sequencing data to a defined experimental design Share experimental findings with collaborators: this may involve crafting protocols for publication. Generate and curate QC More ❯

leadership. Lead a team of 2 computational scientists in the application of large-scale multiomics and genetic capabilities to support our pipeline and advance data and technological approaches in bioinformatics & integrative data analytics. Partner with Neuroscience Discovery on strategy and process for evaluating target opportunities from the perspective of cutting-edge genetics, bioinformatics, biosignatures, brain biology, and mechanism, drawing upon 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 ❯

a quantitative subject, or be close to completing one. Equivalent research experience will also be considered. An undergraduate degree, or Masters, or equivalent in a quantitative field. Skills in bioinformatics, computing, and coding in languages such as R, Python, and other scripting languages as appropriate. Experience using high-performance computing (HPC) systems for scientific research. Experience with computational biology research More ❯

healthcare, and pioneering technological solutions, we'd love to meet you! Must Have: Advanced degree in a quantitative or engineering discipline such as computer science, engineering, mathematics, computational biology, bioinformatics, etc., OR equivalent professional work experience. Proven experience in deploying machine learning and deep learning models, preferably in the health domain. Strong programming and algorithmic skills, specifically in Python, C++ More ❯

Management Engineering Disciplines (with relevance to healthcare/IT): Combines structured thinking, process design, and system support. Industrial Engineering Systems Engineering Biomedical Engineering Hybrid or Interdisciplinary Degrees: Health Informatics Bioinformatics Business Information Systems Digital Health Technologies Certifications (Recommended): Veeva Vault Administrator or Specialist Certifications ITIL Foundation or Practitioner GxP Compliance Training CSV (Computer System Validation) Agile or Scrum Master Certification More ❯

we are recruiting into across a variety of disciplines for this project. About you For this role you will have a PHD in a relevant and appropriate discipline (e.g. Bioinformatics, Computational Biology or Computer Science alongside a track record of working in these environments. Your knowledge of machine learning and AI, large scale data analysis and expertise in scripting language More ❯

DBS check (standard) About the role: Help us see cancer like never before. We are looking for a keen and collaborative postdoctoral with a background in computational biology or bioinformatics to join an exciting new joint project between the UCL institute and HSL Pathology Ltd. This is a unique chance to work on T-Cell lymphomas, using spatial transcriptomics to … across a broader patient cohort. Contribute to identifying new biomarkers and exploring spatial tech in diagnostics. Who are we looking for? A PhD (or nearly there) in computational biology, bioinformatics or related field. Candidates with a theoretical background in physics or mathematics are encouraged to apply. Experience with either Spatial transcriptomics or scRNAseq data analysis. Solid coding skills in R More ❯

friendly language. Basic knowledge of cloud architecture terminology, security terminology and awareness of cloud services. Valued Extras: Experience with R&D, IP, or life sciences data (e.g., patents, journals, bioinformatics). Familiarity with AI/ML applications or data transformation pipelines. Basic understanding of IT security frameworks and cloud compliance (e.g., SOC 2, ISO 27001). Examples of past technical More ❯

the Brain Behavior Lab (BBL) and the Lifespan Brain Institute (LiBI) are devoted to the study of brain and behavior using innovative neuroimaging research techniques and the application of bioinformatics resources. LiBI brings together researchers in medicine, psychiatry, engineering, computer science, physics and biostatistics to understand brain structure and function, based on functional and structural neuroimaging data. The Penn Computerized More ❯

A brand new vacancy for a Software Engineer with an incredible scientific instrumentation start-up has become available, based in West London (W12) . The Software Engineer will form part of an interdisciplinary team developing software to automate laboratory equipment More ❯

California, United States Information Technology Services Nov 19, 2024 Post Date 105251 Requisition Stanford Center for Genomics and Personalized Medicine (SCGPM) has an exciting opportunity available for a motivated Bioinformatics Systems Architect/Team Leader to create innovative data infrastructures that will automate the process of turning big genomic data into biomedical insights. The ideal person for this position is … Song, J., Tsao, P.S. et al. Trellis for efficient data and task management in the VA Million Veteran Program. Scientific Reports 11, 23229 (2021). Our Team: Our SCGPM bioinformatics team is a multi-disciplinary group composed of about a dozen scientists, engineers, and software developers with complementary backgrounds, each contributing their own expertise in managing and analyzing complex biomedical … Million Veteran Project, the NCI Human Tumor Atlas Network, Human BioMolecular Atlas Program, and the Stanford Metabolic Health Center. This position can be on-site, fully remote, or hybrid. Bioinformatics System Architect Duties include: Collaborating with researchers to design solutions to relevant biological questions and maximize the value of our whole-genome sequencing dataset to the publicDetermining how to implement More ❯

transparency, fairness, and explainability. Support audit readiness and documentation for AI and data product development processes. Qualifications Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Bioinformatics, Engineering, or related discipline) 8+ years of experience in product management, with at least 3 years focused on AI, data, or analytics products. Proven track record of delivering AI and … transparency, fairness, and explainability. Support audit readiness and documentation for AI and data product development processes. Qualifications Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Bioinformatics, Engineering, or related discipline) 8+ years of experience in product management, with at least 3 years focused on AI, data, or analytics products. Proven track record of delivering AI and More ❯