Job Opportunities in the Novo Nordisk Foundation Center for Genomic Mechanisms of Disease
We are seeking highly motivated postdoctoral scholars and staff scientists to join a new joint project between laboratories at the Broad Institute and Danish universities to build a Human Gene Regulation Map, as part of the new NNF Center for Genomic Mechanisms of Disease.
This new effort will seek to build comprehensive maps of gene regulation in the human genome as a resource for uncovering biological mechanisms on common genetic diseases, with an initial focus on cell types relevant to cardiometabolic diseases including type 2 diabetes. We aim to combine recent advances in genomics, molecular biology, single-cell analysis, and stem cell models with approaches in computational biology and machine learning to identify fundamental rules of gene regulation.
Contact: Melina Claussnitzer email@example.com
|We are seeking an exceptional, highly motivated computational postdoctoral fellow to work with the Claussnitzer lab and wider Broad community to build a Human Gene Regulation Map, and link this Map to Cellular Programs, with access to various new emerging technologies. The ideal candidate will lead computational analyses of population-scale phenotypic data from high-dimensional, multi-modal single cell technologies and CRISPR-based screening tools; discover mapping enhancer-promoter connections in multiple mesenchymal cell lineages; understand cellular programs at large scale; and develop new computational tools to help uncover mechanisms underlying metabolic disease.|
|The Lage Lab is seeking a computational postdoctoral associate to join the NNF Center for Genomic Mechanisms of Disease and help build the Human Gene Regulatory Map. The ideal candidate will work across disciplines and in collaboration with multiple groups at the Broad Institute and elsewhere to analyze and integrate genomic, epigenomic, and cell-type-specific proteomic datasets to derive fundamental insights into disease mechanisms.|
|The Lage Lab is seeking an experimental postdoctoral associate to join the NNF Center for Genomic Mechanisms of Disease and help build the Human Gene Regulatory Map. The ideal candidate will work across disciplines and in collaboration with multiple groups at the Broad Institute and elsewhere to generate transcriptomic, epigenomic, and cell-type-specific proteomic datasets to derive fundamental insights into disease mechanisms.|
Contact: Jesper Madsen firstname.lastname@example.org
|The postdoc will develop novel probabilistic methods to model transcription factor activity, and interpret those models to identify generalizable biological patterns, rules, and constraints.|
The Andersson lab focuses on genomics and computational/statistical modeling of transcriptional regulation based on large-scale sequencing data. Our main aims are to characterize and better understand the architectures of transcriptional regulation and the fundamental properties of regulatory elements with enhancer and promoter activities.
Keywords: Computational biology, modeling of enhancer activity and enhancer-gene communication
The Claussnitzer Laboratory specializes in converting GWAS-associated genetic risk loci for metabolic diseases and traits into functions (Variants-to-Function, V2F). Using both computational and experimental approaches, the lab has worked towards a five-step model to address key questions for GWAS dissection applicable to any human phenotype or disease.
Keywords: Modeling effects of genetic variants on gene regulation, adipocyte differentiation
The Engreitz lab combines experimental and computational genomics, biochemistry, molecular biology, and human genetics to assemble regulatory maps of the human genome and uncover biological mechanisms of disease.
Keywords: Modeling of human gene regulation, computational biology, project management
Our group is exploring how genetic variation affects transcription factor binding and gene regulation, using experimental and computational tools to efficiently explore variation on a genome-wide scale.
Keywords: CRISPR, enhancer perturbations, human gene regulation
The Lage Lab uses genomic and computational approaches to gain mechanistic insights into diseases of major public health significance in order to lay the foundation for rationally designed medicines.
Keywords: Mapping TF binding sites and regulatory network in metabolic diseases; Modeling regulatory networks in metabolic diseases through integration of GWAS, TF binding and cell-type-specific proteomic datasets; Learning and executing protocols related to cell differentiation, TF binding and quantitative proteomics
The Madsen Group focuses on modeling and developing methods to model transcriptional regulation underlying the remarkable plasticity of fully differentiated tissues. Our group uses advanced statistical techniques, such as machine learning to identify novel patterns and rules underlying transcriptional control of tissue plasticity of Islets of Langerhans, adipose tissue and liver in health and disease
Keywords: Modeling enhancer activity, computational biology, human gene regulation
The Mandrup Group focuses on understanding the basic mechanisms of transcriptional enhancers and the in vivo plasticity of cells in the adipose tissue and the endocrine pancreas. The group combines sequencing-based functional-genomics approaches with detailed molecular analyses to study these processes in mouse models, human biopsies, and cell cultures.
Keywords: Adipocyte differentiation and function, adipose tissue plasticity, enhancer networks and chromatin topology, single cell analyses
Location: University of Copenhagen, Denmark
Contact: Tune H. Pers email@example.com
The Pers Group investigates molecular processes driving susceptibility to obesity and type 2 diabetes with a particular focus on identifying and characterizing molecular pathways mediating polygenic risk through brain circuits.
Keywords: Brain control of metabolic health and disease, computational biology, single-cell genomics, machine learning