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Interested in joining us?

GENERAL POSITIONS:

We are always seeking talented and passionate people to join our team, from summer students to postdocs to staff scientists, short-term and long-term. If you are interested in joining us, please send an email to xdong AT rics.bwh.harvard.edu and include your CV and contact information for three references.

OPEN POSITIONS:

  • Research Scientist in Bioinformatics: This is a staff position with a competitive salary and expectation to provide bioinformatics service to the faculty in the HMS and Brigham community. As a full-time employee in the Hub, the candidate will work with the director to develop bioinformatics pipelines for NGS data (e.g. bulk tissue and single-cell RNAseq, ATAC-seq, WGS, WES, or ChIP-seq, etc.), provide both standard and customized data analysis service and bioinformatics training to the clients. Experience in processing raw FASTQ files is required. Ability to generate high-quality reports, communicate with clients effectively, good time management are key characteristics for an ideal candidate.
  • Postdoc in Single-cell Computational Genomics: This position is funded by a $9M award in Parkinson’s disease. We will perform single nucleus RNA-seq and ATAC-seq, and a new method in spatial transcriptomics to understand how GWAS variants cause specific brain cells to die (e.g. Dong et al., Nature Neuroscience, 2018). We prefer someone with experience in single-cell genomics data analysis. Skills in high-dimensional data visualization is a plus.
  • Postdoc in Bioinformatics and Biostatistics: This position is funded by an NIH U01 grant. We will analyze the genotyping, RNA-seq, and clinical data from a large cohort of Parkinson’s disease, to model the prediction of disease onset and progression (e.g. Liu et al., Lancet Neurology, 2017). We will need someone familiar with statistical modeling and machine learning.  Experience in applying advanced AI methods (e.g. variational autoencoder) to omics data is a plus.
  • Research intern, summer student, co-op who is interested in bioinformatics and has some programming experience.

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