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Help build the future of drug safety monitoring Drug-induced toxicity remains one of the biggest causes of drug-development delay, clinical failure and patient harm. Current monitoring is often insensitive,…
Builds and maintains cancer data information systems for Oxford Cancer (University of Oxford) — databases, web systems, and high-throughput data processing and integration pipelines — using R/Python on Unix and high-performance computing clusters to support precision cancer medicine research. Full-time, fixed-term until 31 March 2028, based in Oxford.
Designs and builds AI/ML-powered image analysis software and scalable, high-throughput pipelines for high-content microscopy and translational research at a nonprofit neurofibromatosis research institute in Detroit. Core stack is Python and PyTorch deep learning, plus bioimage tools like CellProfiler, ImageJ, napari, and OMERO.
Principal or Staff Data Engineer on Regeneron's IOPS IT team in Limerick, architecting secure, scalable ETL/ELT pipelines and data lake/warehouse solutions on cloud platforms, ensuring GxP/21 CFR Part 11 compliance, driving technical standards, and mentoring junior engineers in a biotech/pharma environment.
Fully remote data scientist role building and deploying machine learning models for large genomic datasets (variant calling, imputation, phenotype prediction) to advance personalized medicine and disease research, collaborating with bioinformaticians, geneticists, and clinicians. Core tools: Python/R with TensorFlow, PyTorch, and scikit-learn.
Data Platform Engineer at QIAGEN Digital Insights building and scaling cloud-native data pipelines that power the world's largest biomedical knowledge graph, using Python, Java, AWS, and distributed frameworks like Spark, Hadoop, and Airflow. Onsite at the Redwood City office with hybrid options.
Builds and runs the software backbone of the NSF iBioFoundry's cloud-based autonomous biology lab: a multi-agent AI system that plans experiments and drives lab robots via a central instrument scheduler, plus data pipelines, APIs, and cloud/containers (Docker, Kubernetes), with emphasis on reliability, fault tolerance, and safe operation.
Senior product manager owning the strategy and roadmap for PacBio's emerging life sciences data products built on its DNA sequencing technology. Day to day: customer discovery, defining product requirements and data-access/governance models, pricing, and partnering with scientific, cloud, and commercial teams to launch. Core context: genomics data, cloud data platforms, and enterprise life-science
Head of School (Biomedical & Life Sciences) Shape the Future of Biomedical and Life Sciences Education LSBF is seeking a visionary and industry-connected leader to guide the strategic growth of our School of…
Overview The Associate Director of Service Engineering leads the reliability, availability, and operational excellence of Natera’s lab-facing platforms. This role ensures that clinical systems, laboratory equipment…
Lead full-stack engineer owning an AI-powered precision medicine research platform at UCB's Barcelona R&D hub, from architecture through deployment. Day to day involves building scalable cloud web apps and analytical pipelines for clinical, molecular and imaging data using R, Python, SQL, cloud and containerized workflows.
Lead full-stack engineer who owns an AI-powered precision medicine platform end to end at UCB's Barcelona R&D hub — architecting, deploying and maintaining a secure web platform with cloud services, reproducible data pipelines and AI/multimodal analytics for clinical and imaging data. Core stack: R, Python, SQL, cloud and containers.
About Us Sage Bionetworks uses open science and collaboration to improve human health. We bring together scientific, technical, and operational expertise to advance biomedical research through responsible data sharing,…
Hands-on senior engineer building and scaling Nxera's computational drug discovery platform: backend services in Python, AWS cloud infrastructure with Terraform/CDK, Docker/Kubernetes/ECS deployments, GitHub Actions CI/CD, and Prefect workflow orchestration, working closely with computational chemists and ML engineers to productionize research workflows.
About the team Life sciences is one of the clearest areas where advances in intelligence can meaningfully benefit the world at large. The OpenAI Life Sciences team works at the intersection of advancing frontier life…
The Role Gordian has generated in vivo perturbation data spanning over 1000 targets across Obesity, Heart Failure, Pulmonary Fibrosis, Osteoarthritis, MASH, and Chronic Kidney Disease (CKD), while partnering with…
Staff Product Manager who defines the multi-year strategy and roadmap for PathAI's AI/ML pathology algorithm products (e.g., oncology), building business cases and leading zero-to-one launches from scientific discovery through deployment in partnership with ML, pathology, clinical, quality, and regulatory teams.
Wir suchen Dich ab sofort an einem unserer deutschen Standorte in München, Nürnberg, Leipzig, Berlin, Essen oder Frankfurt am Main! Data und AI sind Dein zu Hause? Des Weiteren gestaltet sich Deine neue Herausforderung…
Company: TESA Research Inc. Location: Park City, UT (on-site/hybrid/remote) Reports To: Chief Scientific Officer / CEO Employment Type: Full-Time About TESA Research TESA Research Inc. is an early-stage company…
A Principal-level individual contributor role providing senior technical leadership and hands-on delivery for Genomics England's clinical and research genomic data platforms. The person shapes data engineering standards and architecture across cloud/lakehouse, event-driven and DataOps/CI/CD practices for highly sensitive health data.
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