We are looking for a PhD experienced @ the intersection of Bioinformatics and Machine Learning. Join us and work with our brilliant AI research team, + scientifically rigorous in-house experimentalists, to tackle various challenges. We are a highly collaborative team and excited to connect with computational scientists with systems thinking, a strong understanding of statistics, who are skilled in making bioinformatics discoveries, running directed analysis, and creating / developing cutting-edge AI for research. Opportunity to : Design and implement large-scale bioinformatics analysis pipelines to process internal data and analyze published datasets. Facilitate training and integration of bioinformatics workflows with multi-agent LLM systems, including enabling model fine-tuning and creation of custom embeddings. Help develop and support our wet-lab and ML experimentation platforms for internal tools and projects. Guide the development of agentic or model-driven analysis tools. Provide advice and guidance on experimental design and project requirements in our wet lab. Collaborate closely with a multidisciplinary team of AI researchers, biologists, and chemists, while fostering an environment of innovation and discovery. Must have : PhD. in Bioinformatics, Computational Biology, or related discipline. Experience working with a variety of biology data types, including NGS, scRNA-seq, proteomics, and others. Extensive working knowledge of and experience with standard bioinformatics tools for analyzing various data types. Strong programming expertise with the capability to adapt to various technical challenges in the experiment, data, and analysis stack. Demonstrated ability to build and maintain robust, production-level analysis pipelines. Strong practical understanding of statistics. Ability to stay current on the latest cutting-edge techniques in bioinformatics and AI. Desire to learn and build tools for AI-augmented bioinformatics analysis and science. VERY nice to have : Familiarity with custom agents and other advanced ML / AI techniques such as RAG. Experience with machine learning tools and capabilities, especially experience training custom models, reinforcement learning, or other post-training techniques. Create a job alert for this search Scientist • San Francisco, CA, United States #J-18808-Ljbffr Precision BioPartners
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