Research and implement efficient AI/machine learning (ML) algorithms and feature exploration methods Develop worfklows from existing algorithms, or modify bioinformatics methods to analyze next generation sequencing (NGS) data, including but not limited to long-read sequencing, RNA-seq, whole genome sequencing (WGS), scRNA-seq. Develop and implement novel algorithm and methods for NGS data types to meet R&D objectives, and the demonstration of the validity of the methods through prototypes and benchmarking using appropriate controls
Requirements:
PhD in Computer Science, Bioinformatics, Molecular and Cell Biology or related disciplines; 4+ years of hands-on experience with gene expression/NGS data analysis using AI/ML; Expertise with common NGS visualization and processing tools (e.g., IGV, samtools, DESeq2); Proficiency in Linux/Bash, Python and R; Familiarity with Cloud
Text:
Scientist Bioinformatics Research and implement efficient AI/machine learning (ML) algorithms and feature exploration methods Develop worfklows from existing algorithms, or modify bioinformatics methods to analyze next generation sequencing (NGS) data, including but not limited to long-read sequencing, RNA-seq, whole genome sequencing (WGS), scRNA-seq. Develop and implement novel algorithm and methods for NGS data types to meet R&D objectives, and the demonstration of the validity of the methods through prototypes and benchmarking using appropriate controls PhD in Computer Science, Bioinformatics, Molecular and Cell Biology or related disciplines; 4+ years of hands-on experience with gene expression/NGS data analysis using AI/ML; Expertise with common NGS visualization and processing tools (e.g., IGV, samtools, DESeq2); Proficiency in Linux/Bash, Python and R; Familiarity with Cloud
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