Postdoctoral Fellow-MSH-32910-036
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Description
Postdoctoral Fellow — Human Genomics
Position Overview
We are seeking a highly motivated Postdoctoral Fellow with extensive experience in statistical genetics/genetic epidemiology to join our research program focused on the genetics and genomics of complex traits and rare disorders under the supervision of Dr. Nathalie Chami.
Our research integrates large-scale human genetic and genomic data with electronic health records, proteomics, multi-omics, and other deeply phenotyped datasets to understand the genetic architecture and biological heterogeneity of complex disease. A major focus of the lab is moving beyond gene discovery to understand disease penetrance, subtypes, mechanisms, and comorbidities, with the long-term goal of advancing precision medicine.
The successful candidate will have the opportunity to lead projects using large, diverse biobanks and population-based cohorts, including datasets with genome-wide genotyping, whole-exome and whole-genome sequencing, longitudinal electronic health records, proteomics, and other molecular and clinical phenotypes.
The position is particularly well suited for a candidate interested in developing an independent research program in human genetics, statistical genetics, genetic epidemiology, or computational genomics.
Research Areas
Potential research areas include:
Genetic discovery for obesity, diabetes, cardiovascular disease, and related cardiometabolic traitsGenome-wide association studies (GWAS) and fine-mappingRare-variant association analyses using whole-exome and whole-genome sequencingIntegration of rare and common genetic variationPolygenic risk scores and genetic modifiers of disease penetranceGenetic and molecular characterization of disease subtypesMulti-ancestry and cross-population genetic analysesIntegration of genomics with proteomics and other multi-omics dataGenetics of longitudinal clinical outcomes and electronic health record-derived phenotypesIntegration of genomic and imaging-derived traitsCausal inference and translation of genetic discoveries into biological and clinical insightResponsibilities
Responsibilities
The Postdoctoral Fellow will:
Lead independent research projects from study design through analysis, interpretation, and publicationAnalyze large-scale genomic datasets, including GWAS, exome sequencing, whole-genome sequencing, and rare-variant dataIntegrate genomic data with clinical, EHR, proteomic, multi-omic, and other phenotypic datasetsDevelop and implement rigorous statistical and computational approaches for human genetic studiesInterpret genetic findings in the context of disease biology and potential clinical relevancePrepare manuscripts for publication in peer-reviewed journals and present findings at national and international scientific meetingsContribute to grant applications and development of new research directionsCollaborate with investigators across genetics, epidemiology, clinical medicine, bioinformatics, data science, and related disciplinesQualifications
Required Qualifications
Candidates should have:
A PhD in human genetics, statistical genetics, genetic epidemiology, bioinformatics, computational biology, biostatistics, or a closely related fieldStrong quantitative and analytical skillsExperience analyzing human genetic or genomic dataProficiency in R Experience working in Unix/Linux computational environmentsStrong understanding of statistical principles relevant to genetic and epidemiologic researchAbility to independently analyze data, critically interpret results, and troubleshoot analytical problemsStrong scientific writing and communication skillsDemonstrated ability to work both independently and collaborativelyExperience in statistical genetic including GWAS , Whole-exome or whole-genome sequencing analysisPolygenic risk scoresFine-mapping, colocalization, or other post-GWAS analysesLarge-scale biobank datasetsHigh-performance computing and reproducible computational workflowsA strong publication record and evidence of the ability to take scientific ownership of a project are highly valued.Desired Attributes
We are looking for someone who is:
Scientifically curious and creativeHighly motivated and intellectually independentInterested in asking biologically and clinically meaningful questions using human genomic dataRigorous and thoughtful in quantitative analysisProactive and able to move projects forward independentlyCollaborative and comfortable working in multidisciplinary teamsOrganized, depe-
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