Jobs Posted on the Whova Community Board of STATGEN 2024
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Postdoc
U of Minnesota Stat genetics/omics, imaging, machine/deep learning
Link:... None
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Postdoc
Case Western Reserve University Microbiome Data, Cancer Research, Bayesian Analysis, Clinical Data Integration
... Link:https://cwru-cinema.comSee More >>
Postdoctoral Fellowship
National Cancer Institute The candidate will have the opportunity to lead both methodological as well as collaborative research projects in current large-scale population-based genetic, genomic, and epidem... iologic studies of cancers. Broad scientific goals include, but are not limited to:
George Washington University George Washington University seeks Research Computing and Data (RCD) professionals for the Research Technology Services team in GW IT.
The Cyberinfrastructure Specialist II... is a mid-level RCD position, with responsibility in system engineering and researcher support. As a mid-level position, the Cyberinfrastructure Specialist II will have some specialized expertise in certain technologies, while having a broad set of skills and responsibilities across RTS services.
Research Technology Services (RTS) is a team of Research Computing and Data (RCD) professionals within GW IT that provide and support various cyberinfrastructure (CI) systems and services in support of GW’s research mission. The RTS service portfolio includes high-performance computing clusters; public cloud infrastructure, purpose-built computational, data management, storage platforms, and application and workflow support across a wide array of research disciplines.
University of Colorado Anschutz Medical Campus The Hendricks Lab in the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus is seeking a Postdoctoral Fellow with a background in human gen... omics, biostatistics, statistics, computational biology, bioinformatics, machine learning, and/or related fields. Individuals from diverse backgrounds are strongly encouraged to apply.
The postdoc and PI will jointly envision projects tailored to the fellow’s skillset and long-term career goals. Postdocs will be expected to carry out rigorous statistical, computational, and machine learning research, analyze data and interpret findings, and disseminate findings, software, and data to the biomedical community.
The Hendricks team works at the intersection of biomedical research and statistical/machine learning method development. Our goal is to support rigorous, reproducible, and representative research from basic science to implementation of precision health. Our core activities towards this mission are: 1) building open-source and broadly useful data science methods and software, and 2) promoting growth of a representative research community through programs, mentoring, and collaboration. Recent projects include improving the utility and equity of genetic summary data by detecting and leveraging substructure, identifying metabolomic derived food biomarkers, and developing standards for robust use of common external controls.
Current project funding includes support for methodological and applied work in identifying and leveraging substructure in genomic summary data, employing deep phenotyping and genotyping data to characterize systemic determinants of health, identifying food biomarkers, and characterizing multi-omic drivers of healthy diets.
Link:https://cu.taleo.net/careersection/2/jobdetail.ftl?job=31649&lang=enSee More >>
Postdoc at Duke (Computational Genomics)
Duke University A postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang. The candidate ... will develop novel statistical and machine learning methods for multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and single-cell multi-omics data, or genetic variants and functional genomics data), and apply the computational methods to integrative genomics data to understand cancer genomics, tumor microenvironment, and immunology. Preferred qualifications: • PhD (completed in the last 0-3 years or PhD candidate) in a quantitative background• Strong skills in computational and data analytical methodology development and implementation; experience in supervised and unsupervised machine learning, low-dimensional models or deep learning models, and willingness to learn about new methods, is a plus. o Strong programming skills in Python or R, and Linux Shell; experience in genomics data processing and open source repositories e.g. GitHub is a plus. o Strong motivation and interest to analyze genomics data and interpret cancer biology from data; experience or interest in cancer genomics, tumor microenvironment, single-cell data, spatial omics, immunology, gene regulatory networks, non-coding genome, genetic variants and functional genomics, is a plus. o Excellent communication skills including writing, publishing, and presenting research; proven track record of publishing in peer-reviewed journals as major author; willingness to collaborate.
To apply, please reach out to Dr. Zhang (yi.zhang@duke.edu) with a subject [Postdoc app] - [Your name] - [Institution]. Please include (1) CV or Resume (2) Description or research statement of previous/ongoing work and proposed research and interests (3) 1-3 representative publications (published, accepted, or preprint), if link/pdf available (4) Three names of references.
Link:https://yi-zhang-compbio-lab.github.ioSee More >>
Postdoc Fellow at University of Kentucky
University of Kentucky This position is funded by the National Institute on Aging (NIA), and projects will focus on Alzhiemer's diease and related dementias. The Fellow will work within the Statistical ... 'Omics Research Collaborative and collaborate with experts in the University of Kentucky Alzheimer's Disease Research Center and the Sanders-Brown Center on Aging.
There are possible opportunities for a staff scientistic or a Research Assistant Professor position depending on qualifications and mutual interest.
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Postdoc position at MD Anderson Cancer Center
MD Anderson Cancer Center The Shang Lab within the Department of Biostatistics and Yuan Lab within the Department of Translational Molecular Pathology and at The University of Texas MD Anderson Cancer Cent... er invite applications for a Postdoctoral Researcher position. The Shang lab develops cutting-edge computational and statistical methods for genetic and genomic studies including spatial transcriptomics and single cell RNA sequencing. The Yuan lab designs impact-driven strategies and artificial intelligence (AI) engines to accelerate the applications of AI and data science to digital pathology. The focus of this joint project is to decipher how the immune microenvironment shapes the evolution of immune escape and drug resistance. The successful candidate will focus on developing and applying computational tools to study immune response in cancer using state-of-the-art deep learning methods and spatial omics.
Roles and Responsibilities: • Develop innovative computational methods to integrate spatial transcriptomics and histopathology image data. • Conduct analyses to identify and characterize the spectrum of immune processes in various cancer types.
Qualifications: • Recent (or soon-to-be) Ph.D. graduate with formal training in one or more of the following: Biostatistics, Bioinformatics, Computational Biology, Computational Pathology, Computer Science, Genomics, Genetics, Statistics, or a related field. • Proficiency in programming languages such as Python, R, C++, etc. • Familiarity with spatial transcriptomics and histopathological image analysis is highly desirable.
Postdoctoral Position at Stanford School of Medicine
Stanford University The Esfahani Lab, located within the Department of Radiation Oncology at Stanford University, is seeking an exceptional individual to join the team and contribute to groundbreakin... g research in computational oncology. We are dedicated to unravelling the complexities of the human regulome through advanced cell-free DNA profiling and developing cutting-edge computational algorithms and molecular profiling techniques. Our research focuses on early cancer detection, minimal residual disease (MRD) detection, and the multiomics characterization of various cancer types.
Link:https://postdocs.stanford.edu/prospective/opportunities/open-postdoctoral-position-faculty-mentor-mohammad-shahrokh-esfahaniSee More >>
