Director of Machine Learning
Scienta - San Francisco, CA
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Scienta have partnered with a $76M Series A biotech on the search for a Director of Machine Learning. The company is a pioneering biotechnology company specializing in the development of cutting-edge immunotherapies. By leveraging advanced computational approaches and biological expertise and a proprietary platform, they aim to transform the treatment landscape for immune-related diseases. Key Responsibilities:Design, build, and optimize machine learning models to predict immune cell states and phenotypes.Apply cutting-edge deep learning methodologies, including large language models (LLMs) and transformer architectures, to analyze sequencing data, particularly single-cell RNA sequencing (scRNA-seq).Develop robust computational pipelines to support high-throughput data analysis and visualization.Act as the primary interface between computational teams and laboratory scientists, fostering clear and productive communication.Present findings and progress to stakeholders, including non-technical audiences, to drive decision-making and strategy development.Qualifications:Ph.D. or equivalent in Machine Learning, Computational Biology, Immunology, or related fields.Expertise in ML, deep learning, and transformer models with experience in scRNA-seq.Solid understanding of immunology and immune cell biology.Strong communication and leadership skills, with experience interfacing across disciplines.Apply below or email your resume directly to amber.hayes@
Created: 2025-01-24