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Build and deploy ML models to optimize Databricks’ distributed infrastructure, improving performance and cost efficiency for serverless compute products.
Overview At QIAGEN, we are driven by a simple but powerful vision: making improvements in life possible. We’re dedicated to revolutionizing science and healthcare for the better. From our entrepreneurial roots to our…
Builds cloud-based bioinformatics platforms and AI-enabled data products to integrate clinical, genomic, and biomedical data for cancer research and patient care using Python, AWS, and containerized workflows.
Lead the development and deployment of cheminformatics and AI/ML platforms to modernize drug discovery and molecular invention processes.
Build and deploy ML models to improve a clinical decision-support platform, working with healthcare datasets like EHRs and claims data using Python/R and cloud tools.
Develops and validates SAS programs to process clinical trial data, combining datasets and generating reports for bioinformatics research in a pharmaceutical setting.
Develops and maintains bioinformatics software pipelines for genomic data processing, including variant calling, annotation, and ETL workflows, using Python, SQL, and cloud tools like Azure.
Design and implement AI/ML models for biomedical data, including genomics and clinical datasets, to support precision oncology and translational research using Python, PyTorch, TensorFlow, and LLMs.
Write and edit FDA-facing technical documents for a liquid-biopsy cancer test, including assay protocols, validation reports, and regulatory submissions, using NGS workflows and bioinformatics outputs.
Job Summary Kilpatrick's Chemistry & Life Sciences Patent Prosecution team seeks either a USPTO-registered Patent Agent or Patent Attorney with strong educational and/or industry experience in Bioinformatics,…
Overview Metabolon is seeking a motivated and technically curious Technical Support Specialist to join a newly created post-sales technical support team supporting customers of Metabolon’s Verus LC/MS-based…
Develop statistical and computational methods to analyze spatial omics data, building open-source tools for complex tissue research in a university lab.
Design and operate AWS-based infrastructure for a genomics data platform, scaling pipelines, storage, and ML services while improving observability and cost efficiency.
Build and maintain software tools to discover, analyze, and visualize global biodata resources and their interconnections using Python, SQL, and cloud platforms.
Build agentic AI systems and scientific workflows for drug discovery, integrating LLMs, retrieval, and biological models to accelerate research.
Lead computational protein design for therapeutic antibodies and T-cell receptors using AI/ML, structural modeling, and experimental integration to optimize affinity, stability, and safety.
Build and maintain software systems that ingest, process, and integrate experimental data for a generative biology company, using Python, cloud-native tools, and APIs to connect wet lab workflows to data platforms.
Build and maintain open-source machine-learning tools for neuroscience research, using Python, PyTorch/TensorFlow, and UI frameworks to create reusable, well-documented software for the scientific community.
Senior backend engineer building distributed AI systems that reason over genomic data using LLMs, bioinformatics, and scalable backend tech to improve human health insights.
Principal Software Development Engineer in Test builds and maintains automated test frameworks for next-gen sequencing instruments, integrating hardware-in-the-loop solutions and ensuring regulatory compliance in a lab environment.
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