Academic and Research Jobs

Academic and Research Jobs at BIDMC.

PostDocBioinformatics/Computational Biology Postdoc - Dr W. Hide02-Jun-202231-Aug-2022
The Hide Lab at Harvard Medical School and BIDMC seeks a bioinformatics/computational biology postdoctoral fellows for training. We focus on target discovery, and diagnostic and therapeutic applications for Alzheimer's Disease. The positions are under the direction of Dr. Winston Hide (Systems RNA medicine) and is available immediately. For a list of publications from the Hide lab see here.

We have two positions available. Either with a focus on diagnostics, or with a focus on translational applications.

You will be working on a project from our range of translational applications and method development opportunities using single cell RNA-Seq and spatial transcriptomics technologies. You will have access to serum, tissue spatial and single cell samples processed here at our facility.

We work on integrating:
+ Whole genome sequencing of large cohorts of Alzheimer's subjects.
+ 4000+ subjects
+ Resilience against AD pathology is a focus
+ Developing and drugging signatures of AD resilience
+ Modelling resilience to AD pathology against AD in 3D systems (R01 project)
+ Determining single cell signatures of resilience to AD pathology with the CIRCUITS consortium
+ Further developing systems-based drug repurposing for resilience active drugs
+ Spatial transcriptomics, single nucleus, miRNA and whole RNA assays of extreme phenotype centenarian subjects who show resistance or resilience to AD
+ Mapping the AD continuum using pathway activity signatures {AD GeneDex}
+ Developing reference signatures for AD facets and predicting and testing drugs that perturb or enhance AD events
+ Developing miRNA diagnostics using miRNA profiling from concordant peripheral and brain tissue profiles of highly phenoptyped subjects

Located in the Longwood area in Boston, the Hide Lab provides access to cutting-edge technologies at the RNA Precision Medicine Core and at the newly established Spatial Technologies Unit at BIDMC. The Hide Lab is part of the Harvard Initiative for RNA Medicine and collaborates with other several other leading research groups locally and internationally.

The Hide Lab values team-work and a healthy work-life balance. We are an equal opportunity employer and historically under-represented applicants are particularly encouraged to apply. To learn more regarding this position or to apply please send an email to Dr. Hide ( with the subject line "postdoctoral position in computational biology".

+ PhD in a quantitative and/or a computational field related to bioinformatics (e.g. computer science, computational biology, biostatistics)
+ Proficiency working with transcriptomics datasets and assays, including RNA-Seq, scRNA-Seq, or spatially resolved transcriptomics.
+ Excellent programming and scripting skill in R, python, C++, or other languages. Having published/released bioinformatics packages and workflows is a big plus.
+ Experience with network modeling and pathway analysis is a big plus.
+ Ability to lead research projects evidenced by peer-reviewed publications
+ Experience with transcriptomics of neurodegenerative diseases, especially Alzheimer's, is a big plus.

Position 1:
+ Generate and analyze single cell and spatially resolved transcriptomics profiles from of Alzheimer's disease brains.
+ Integrate various modalities of transcriptomics data.
Position 2:
+ Develop systems biology models for prioritizing actionable therapeutic/diagnostic targets for downstream drug screening using miRNA profiling

The position is available immediately and can be renewed annually

How to Apply
Email applications including curriculum vitae, a summary statement of personal objectives and research interests, PDFs of your best two papers, and the names and email addresses of three references directly to:

About the Hide Lab:
The Hide lab is based in Beth Israel Deaconess Medical Center/Harvard Medical School and is part of the Harvard Initiative for RNA Medicine and BIDMC Cancer Center. Our projects are funded by NIH, Harvard Medical School, and the Cure Alzheimer's fund. We are a part of CIRCUITS consortium within CureAD foundation. Our collaboration extends to several US institutions "such as HMS, Mass General Hospital, and MIT" and international institutions.

As a member of Hide Lab you will:
+ Work on cutting-edge research in computational and systems biology with access to cutting-edge Alzheimer's disease omics data.
+ Collaborate with world-class researchers in neurodegenerative diseases and non-coding RNA.
+ Receive comprehensive, focused, career directed hands-on training to pursue your goals in research and academia including: scientific communication, collaboration, and grant writing.
+ Benefit from training opportunities offered by Harvard Medical School, the Harvard Catalyst, and BIDMC.
+ Work in a vibrant and dynamic lab environment with supportive colleagues.
PostDocBioinformatics - Computational Genetics Postdoc - Dr Vlachos16-May-202231-Aug-2022
We are currently looking for talented researchers at different levels to join the Vlachos Lab, the Broad Institute of MIT and Harvard, and the Spatial Technologies Unit (STU) (

Local and International Applicants are welcome

The Bioinformatician / Computational Geneticist will have the chance to lead cutting-edge research being conducted in the Vlachos lab and the STU.

The position is open for postdoctoral research fellows and also for staff scientist applicants.

There are leadership opportunities for large-scale projects in:

- Modeling of coding/non-coding variants on complex phenotypes using in-house generated WGS/WES data from an extensive rare disease cohort.
- Modeling of somatic coding and non-coding variant effects on the tumor microenvironment and spatial tissue features.

Our unique location within a leading Harvard Teaching Hospital and the first Institute for RNA Medicine in Boston creates a unique environment for avant-garde research and scientific growth. Harvard Medical School, BIDMC and Boston in general are an incredible environment for aspiring quantitative biomedical scientists.

The Vlachos lab, the Precision RNA Medicine Core, and the Spatial Technologies Unit offer exciting environments at the forefront of biomedical research. A rich training environment is available to all members as well as plenty of opportunities to be involved or lead ground-breaking studies.

The position aims for candidates with a strong quantitative background stemming from extensive studies in disciplines such as Bioinformatics, Computer Science, Applied Math, Data Analysis or Biostatistics.

The ideal candidate should have:
A strong background in Statistical/Computational Genetics and Biostatistics and extensive programming experience.
A good understanding of Next Generation Sequencing methods and especially in the analysis of whole exome sequencing/whole genome sequencing data
A PhD degree in a relevant discipline is required.

To apply, e-mail a resume and cover letter highlighting your qualifications and experience to:
PostDocBioinformatics Postdoc - Single Cell and Spatial Technologies - Dr Vlachos16-May-202231-Aug-2022
The Vlachos Lab and the Spatial Technologies Unit ( are currently looking for talented postdoctoral researchers to 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 Postdoc Single Cell and Spatial Technologies Bioinformatician will have the chance to be incorporated in cutting-edge research conducted in the Vlachos Lab, the Spatial Technologies Unit (, in Beth Israel Deaconess Medical Center, Harvard Medical School, and the Broad Institute of MIT and Harvard.

The position aims for candidates with a strong quantitative and computational background with extensive experience in genomics/transcriptomics (analysis of different bulk/single cell/spatial Next Generation sequencing Techniques as well as development of novel methods).

Our location within the CRI, the first Institute for RNA Medicine in Boston, Harvard Medical School, and the Broad Institute of MIT and Harvard, creates a unique environment for avant-garde research and scientific growth. The researcher will receive training on research, grant writing, career development, and mentoring. She/he will have the opportunity to lead impactful projects and collaborate directly with an extensive network of leading researchers and companies in the US and internationally. Successful applicants will receive a competitive remuneration and benefits package.

Spatial Technologies, including Spatial Transcriptomics and Proteomics, were deemed "Method of the Year 2020" by Nature Methods Journal and are currently revolutionizing biomedical research. The Spatial Technologies Unit, Directed by Dr Vlachos, aims to become a center for innovation, efficient service provision, and a focal point for Spatial Technologies research and development in the Commonwealth of Massachusetts and across the United States. It hosts a comprehensive collection of leading spatial and single cell technologies from 10x Genomics (Visium, Connect), NanoString (GeoMx), Akoya (Polaris Vectra, CODEX), Vizgen (MERSCOPE), and Bruker (Vutara VXL). Its unparalleled technological infrastructure, its location within the Harvard Medical School Ecosystem, and its translational role in a leading medical center provides exceptional opportunities for cutting-edge research and applications.

The appointed candidates will have the opportunity to become leaders in Spatial Technologies; the most exciting and rapidly developing field in biomedical research and translation.

Essential Skills:
- Extensive experience in handling and analyzing Next Generation Sequencing data
- PhD in a relevant subject area (Computational Biology, Population Genetics/Genomics, Bioinformatics, Biostatistics)
- Strong quantitative background (e.g. BSc in Computer Science, Applied Math, Engineering, Biostatistics)
- Experience in bioinformatics/data analysis using R/Bioconductor
- Experience in Linux-based environments and high-performance computing
- Great programming skills
- Effective science communication

For methods builders we also welcome links to GitHub/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions.

We are an equal Opportunity Employer and we welcome applications from women, persons with disabilities, protected veterans, and members of minority groups.
International applicants are welcome to apply.

To apply, e-mail a resume and cover letter highlighting your qualifications and experience to:

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