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Bioinformatics postdoc Position at Harvard Medical School



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Bioinformatics postdoc Position at Harvard Medical School

Our educational programs advance Harvard Medical School's core mission to alleviate human suffering by nurturing a diverse group of leaders and future leaders in both clinical care and biomedical inquiry. These individuals are on the front lines of medicine and science serving individuals and populations locally, nationally, and globally.

Post : Bioinformatics postdoc Position

Harvard Medical School at Boston Children’s Hospital is seeking a bioinformatics postdoc for bioinformatics research in the single-cell and spatial multi-omics area. The lab is also affiliated with the Broad Institute of MIT and Harvard, and the Dana-Farber Harvard Cancer Center.

Research topics include epigenomics, metabolomics, or epitranscriptomics. This researcher will develop bioinformatics technology to investigate cell identity regulation at single-cell and spatial resolution. Experiences with bioinformatics technique development or genomic data analysis will be considered with high priority (but not a prerequisite). The lab is productive in recent years in both development of bioinformatics methods (Nature Genetics 2015, Nature Communications 2020a, Nature Communications 2020b, Genome Biology 2020, etc.) and biomedical research based on cutting-edge bioinformatics techniques (Nature 2018, Science 2019. Circulation 2020, Nature Cell Biology 2021, etc). Both the School and Hospital offer rich and dynamic research environments. The work location is embraced by tens of other top institutes such as the Massachusetts General Hospital. Dana-Farber Cancer Institute, and Broad Institute.

Current research directions in the Lab :
• Develop computational tools, statistical methods, artificial intelligence techniques, machine learning algorithms, or network models to understand single-cell genomics data.
• Analyze single cell sequencing data to study cell identity regulation and dysregulation.
• Analyze Hi-C. ChlP-seq, ATAC-seq. and RNA-seq data to study epigenetic regulation of transcription.
• Collaboration with biologist and clinician to leverage research output, innovation, and significance.

Qualifications : Applicants must have a training in area related to bioinformatics. Experiences with algorithm development and analysis of multiple types of genomic datasets will be a strong plus but not a prerequisite. Candidates with a PhD degree in biology, medicine, genomics, bioinformatics, computer science, electronics engineering, mathematics, statistics, physics, or other related area are encouraged to apply.

Commitment to Diversity : We are committed to cultivating a diverse workplace. We do not discriminate based on race, gender, gender identity, color, religion, age. disability, or national origin. We encourage individuals with diverse backgrounds to apply.

How to apply : Interested candidates should send a CV, cover letter (or research statement), and information of three references to

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