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Senior Principal DSX Data Scientist, AI at Genentech (Roche) working on advancing healthcare through data science and AI innovation.
Develops and maintains SAS-based statistical programs for clinical research, combining data from diverse sources to generate reports and summaries while leading moderate-complexity studies and mentoring junior analysts.
Analyzes complex biological and oncology datasets using computational tools like R and Python to process, visualize, and interpret high-throughput genomic/proteomic data, develop bioinformatics pipelines, and support cancer research projects.
Design and develop automated verification tests for bioinformatics pipelines in next-generation genomic sequencing software, accelerating techniques using GPU hardware with C++, Python, and GPU-accelerated libraries.
The Solution Engineer will build and maintain cloud-native data pipelines and data products to support scientific research. The role involves hands-on development using Python, SQL, and cloud-based data technologies to ensure reliable, secure, and observable data delivery.
Leads digital and data initiatives for integrative biology at Pfizer, shaping strategy and delivering complex solutions that bridge scientific research and technical execution while ensuring compliance and cross-functional alignment.
The University of Kansas Medical Center is seeking a tenure-track faculty member to conduct research in statistical AI and biomedical data science while teaching and mentoring graduate students. The role involves developing external funding and collaborating with interdisciplinary research centers on projects related to cancer, precision medicine, and clinical trials.
Builds and maintains data infrastructure for an AI biomedical research platform, focusing on ingesting, harmonizing, and serving multi-modal neurodegeneration datasets for AI tools like InsightEngine and OpenScientist.
Apply machine learning to sequence-function problems in mRNA therapeutics research, building models and algorithms for RNA/LNP design using Python's scientific stack, Bayesian optimization, and active learning.
Own and maintain core genomics tools (GATK, HTSJDK, Picard), set standards, drive releases, and lead a Trusted Developer Program. Core technologies: Java, Python, bioinformatics.
About Our Company We are an innovative biomedical data company dedicated to helping healthcare institutions realize the full value of their biobanks. Through trusted, long-term partnerships, we are building a secure,…
Senior ML engineer builds and deploys optimization models to tune Databricks’ distributed infrastructure, cutting cost and boosting performance across the stack from cluster scheduling to query execution.
Build and scale ML infrastructure and agentic AI workflows to accelerate AI-driven protein design and genetic medicine research.
Build AI/ML models and data pipelines for a microfluidic blood-analysis device, turning raw sensor data into clinical diagnostics and deployable prototypes.
Designs and owns a high-throughput data pipeline for a diagnostic instrument platform, handling real-time image acquisition, GPU-accelerated signal processing, and distributed HPC/cloud processing with reliability and scalability.
Principal Software Engineer for GATK, HTSJDK, and Picard at Broad Institute; takes ownership of maintaining these genomics tools, advancing file-format standards, driving releases, supporting the community, and using AI-assisted development. Core technologies include Java/JVM, Python, GCP, and GA4GH standards.
Lead cybersecurity operations for a medical research institute, deploying Microsoft security tools like Sentinel and XDR to monitor, detect, and respond to threats while improving security posture.
University of Colorado Anschutz Medical Campus Department\: Otolaryngology - Head & Neck Surgery Job Title\: Open Rank\: Professor Series (Auditory & Vestibular Function Research) Position #00827454 –…
Develops algorithms and software tools for biomedical, translational, and clinical research at a medical center, focusing on data acquisition, analysis, and resolving computational problems using bioinformatics expertise.
Leads a predictive research team of data scientists and biostatisticians, applying advanced machine learning and biostatistics to model biological, clinical, and industrial data for pet nutrition R&D.
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