Beth Israel Deaconess Medical Center
Computational Biology / Bioinformatics / Machine Learning Postdoc - Single Cell
Beth Israel Deaconess Medical Center, Boston, Massachusetts, us, 02298
Overview
The Vlachos Lab and the Spatial Technologies Unit at Beth Israel Deaconess Medical Center are seeking postdoctoral researchers to lead large-scale spatial/single-cell initiatives and to devise
AI/ML and computational biology methods
that will bring these technologies closer to translation. The researcher will have access to some of the most extensive single cell and spatial transcriptomic datasets to date, generated in-house. Available projects center on cancer immunology, novel immunotherapies (CAR-T, bi-specifics, mRNA cancer vaccines), and autoimmunity research. We generate extensive data and employ cutting-edge AI/ML to generate next-generation insights for novel targets or patient stratification. The Vlachos lab is part of large-scale initiatives such as the Human Biomolecular Atlas Project ( HuBMAP
-
www.hubmapconsortium.org ), enabling the postdoctoral researcher to become an integral part of the single cell and spatial community. Local and International Applicants are encouraged to apply The Postdoc opportunities encompass work in the
Vlachos Lab , the Spatial Technologies Unit ( www.spatialtechnology.org ), at Beth Israel Deaconess Medical Center, Harvard Medical School, and the Broad Institute of MIT and Harvard. Responsibilities
Lead large-scale spatial/single-cell initiatives within the research program. Develop and apply
AI/ML and computational biology methods
to enable integration of spatial and single-cell data and translation to biological insights. Leverage extensive in-house datasets to generate next-generation insights for targets or patient stratification. Collaborate with the Vlachos Lab, Spatial Technologies Unit, and affiliated institutions (Harvard Medical School, Broad Institute). Receive training in research, grant writing, career development, and mentoring; lead impactful projects. Qualifications
Extensive experience in handling and analyzing Next Generation Sequencing data (bulk, single-cell, spatial). 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. Proven experience in AI/ML solutions. Effective science communication. Ideal
skills: single cell and/or spatial-omics data analysis, strong publishing record, theoretical and practical AI/ML, ability to lead and coordinate projects. Location & Collaboration
Based at Beth Israel Deaconess Medical Center, within Harvard Medical School and the Broad Institute, in an environment that supports avant-garde research and scientific growth. Application Notes
We encourage applications from both local and international candidates. Equal Opportunity Employer; we welcome applications from women, persons with disabilities, protected veterans, and members of minority groups. International applicants are welcome to apply.
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The Vlachos Lab and the Spatial Technologies Unit at Beth Israel Deaconess Medical Center are seeking postdoctoral researchers to lead large-scale spatial/single-cell initiatives and to devise
AI/ML and computational biology methods
that will bring these technologies closer to translation. The researcher will have access to some of the most extensive single cell and spatial transcriptomic datasets to date, generated in-house. Available projects center on cancer immunology, novel immunotherapies (CAR-T, bi-specifics, mRNA cancer vaccines), and autoimmunity research. We generate extensive data and employ cutting-edge AI/ML to generate next-generation insights for novel targets or patient stratification. The Vlachos lab is part of large-scale initiatives such as the Human Biomolecular Atlas Project ( HuBMAP
-
www.hubmapconsortium.org ), enabling the postdoctoral researcher to become an integral part of the single cell and spatial community. Local and International Applicants are encouraged to apply The Postdoc opportunities encompass work in the
Vlachos Lab , the Spatial Technologies Unit ( www.spatialtechnology.org ), at Beth Israel Deaconess Medical Center, Harvard Medical School, and the Broad Institute of MIT and Harvard. Responsibilities
Lead large-scale spatial/single-cell initiatives within the research program. Develop and apply
AI/ML and computational biology methods
to enable integration of spatial and single-cell data and translation to biological insights. Leverage extensive in-house datasets to generate next-generation insights for targets or patient stratification. Collaborate with the Vlachos Lab, Spatial Technologies Unit, and affiliated institutions (Harvard Medical School, Broad Institute). Receive training in research, grant writing, career development, and mentoring; lead impactful projects. Qualifications
Extensive experience in handling and analyzing Next Generation Sequencing data (bulk, single-cell, spatial). 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. Proven experience in AI/ML solutions. Effective science communication. Ideal
skills: single cell and/or spatial-omics data analysis, strong publishing record, theoretical and practical AI/ML, ability to lead and coordinate projects. Location & Collaboration
Based at Beth Israel Deaconess Medical Center, within Harvard Medical School and the Broad Institute, in an environment that supports avant-garde research and scientific growth. Application Notes
We encourage applications from both local and international candidates. Equal Opportunity Employer; we welcome applications from women, persons with disabilities, protected veterans, and members of minority groups. International applicants are welcome to apply.
#J-18808-Ljbffr