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Position: Machine Learning Scientist
Institution: NewLimit
Location: South San Francisco, California, United States
Duties: Work closely with genomics, sequencing, and molecular biology experts to integrate internal and external datasets to drive experiment design and predict the outcome of the next rounds of experiments; Develop and apply novel machine learning capabilities to model the results of functional assays and large-scale pooled-perturbation screens using single-cell multi-omics (mRNA + ATAC, scCUT&TAG) data; Serve as a technical expert, taking responsibility for the execution of sophisticated predictive modeling projects and directly influencing company-level decisions; Contribute to the design, decision making, and implementation of NewLimit’s technology platform
Requirements: PhD in Machine Learning, Computer Science, Computational Biology, or related field or equivalent industry experience (2+ years); Experience with machine learning applications to diverse cell biology/multi-omics datasets
   
Text: Machine Learning Scientist Work closely with genomics, sequencing, and molecular biology experts to integrate internal and external datasets to drive experiment design and predict the outcome of the next rounds of experiments; Develop and apply novel machine learning capabilities to model the results of functional assays and large-scale pooled-perturbation screens using single-cell multi-omics (mRNA + ATAC, scCUT&TAG) data; Serve as a technical expert, taking responsibility for the execution of sophisticated predictive modeling projects and directly influencing company-level decisions; Contribute to the design, decision making, and implementation of NewLimit’s technology platform PhD in Machine Learning, Computer Science, Computational Biology, or related field or equivalent industry experience (2+ years); Experience with machine learning applications to diverse cell biology/multi-omics datasets
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