Ioannis Vlachos Non-coding Research Lab

Turning Junk DNA into an RNA Goldmine

Job Openings

We are currently looking for talented researchers at different levels to join the Non-Coding Research Lab and the Non-Coding RNA Core.

Currently there are positions available for Postdoctoral Fellows and a Senior Bioinformatician

Local and International Applicants are welcome to apply

For further information email at: ivlachos@bidmc.harvard.edu

The Fellows and the Specialist will have the chance to be incorporated in cutting-edge research conducted in the Vlachos Lab and theĀ Spatial Technologies Unit as well as in the Cancer Research Institute in Beth Israel Deaconess Medical Center, the Harvard Initiative for RNA Medicine, and the Broad Institute of MIT and Harvard.

A rich training environment is available to all members as well as plenty of opportunities to be involved or lead ground-breaking studies.

All positions aim for candidates with a strong quantitative background stemming from extensive studies in disciplines such as Computer Science, Applied Math, Data Analysis or Biostatistics. Experience in non-coding RNA research is not a prerequisite.

1. Single Cell and Spatial Transcriptomics Fellow (Vlachos Lab): the Fellow will lead large-scale spatial/single cell initiatives within our research program as well as to devise novel computational methods that will enable us to bring these two novel technologies closer to translation. The researcher will have the ability to leverage some of the most extensive single cell and spatial transcriptomic datasets to date, generated in-house. The ideal candidate should have a strong background in the analysis of Next Generation Sequencing data, and extensive programming experience. Experience in single cell and/or spatial technologies will be considered a plus. PhD in a relevant domain and a quantitative BSc are required (e.g. Computer Science, Biostatistics, Engineering, Applied Math, etc). Apply using Linkedin!

2. Senior Bioinformatician (Core Position): The Bioinformatician will implement state-of-the-art analysis methodologies for bulk and single-cell experiments. She/he will work at the Precision Diagnostics and Therapeutics Core of the Harvard Initiative for RNA Medicine. The ideal candidate should have a extensive experience in performing Bioinformatics analyses with raw NGS data. PhD in a relevant domain and a quantitative BSc are required (e.g. Computer Science, Biostatistics, Engineering, Applied Math, etc).

Internships / Visiting Scientists: We are open for applications for Internships / Visiting Researchers from local or international researchers that want to gain experience in cutting-edge non-coding, single cell, spatial transcriptomics, and machine learning research. Having secured your own funding is always a plus but we could support a funding application as a host Lab.

For further information email at: ivlachos@bidmc.harvard.edu