Sort by
Refine Your Search
-
years to support AI-driven projects and to embed AI systems throughout every stage of the scientific process in labs across HHMI. The AI initiative will be centered at HHMI’s Janelia Research Campus
-
. The goal of this work is to understand how neural circuits drive behaviors such as navigation and state-dependent responses. This role involves deep learning–based data processing of calcium imaging
-
well as crosslinking mass spectrometry (XL-MS). The successful candidate will play a central role in the computational and analytical components of research projects, apply state-of-the-art bioinformatics tools
-
in bioinformatics and prior experience analyzing single-cell RNA-seq and/or other high-throughput datasets (e.g. RNA-seq, ATAC-seq, CUT&Tag, proteomics, etc.). Candidates are expected to be capable
-
environmental and hormonal control of plant stem cell differentiation. You should be proficient in bulk and single-cell RNA-seq, ChIP-seq, and/or ATAC-seq analyses and standard bioinformatics pipelines
-
metabolism (metabolite isolation/analysis). Live-cell imaging (confocal microscopy; advanced optical techniques). Bioinformatics exposure (proteomics, RNA-seq, phylogenetics). Biochemical purification
-
lab’s science, combined with excellent organizational and communication skills, will help you succeed. Candidates with experience in genomics, transcriptomics, or basic bioinformatics analysis
-
additional programs that support well-being and professional development. What you will do: As part of the SEA team: Serve as a source of wet-bench and bioinformatics expertise for faculty who are engaged in
-
manage and develop large-scale genomic and proteomics databases, maintain and develop bioinformatics software and pipelines for comparative data analyses, develop utilities to support high-throughput data
-
bioinformatics techniques Preferred Qualifications Experience with human pluripotent stem cell culture and directed differentiation Proficiency with CRISPR-based genome editing Expertise in single-cell