- University of Southern California (Los Angeles, CA)
- …using large national datasets, computational biology techniques including single cell transcriptomics, and machine learning regression modelling of ... Heart Foundation. Our research focuses on the application of single cell multiomics, mathematical modeling, integrating clinical...have proficiency in: + R and Python coding + Machine Learning techniques + Power calculations +… more
- New York Genome Center (New York, NY)
- …in the lab to develop new statistical methods and software for the analysis of single cell datasets. This is an exciting opportunity to learn about the latest ... developments in the growing space of single cell genomics while contributing to new...and wet lab. The lab integrates novel statistical and machine learning -based methods with experimental analysis in… more
- University of Colorado (Boulder, CO)
- …labeling and manipulation, whole-brain light-sheet microscopy, two-photon imaging, single - cell spatial transcriptomics, and machine learning models ... the neuronal circuits and mechanisms controlling novelty responses and adaptive learning processes with repeated exposures, by using a multidisciplinary research… more
- Michigan State University (East Lansing, MI)
- …Bioinformatics/protein engineering/ single - cell RNA sequence analysis + Machine learning /deep learning + Computational topology/geometry/graph. ... Research Associates will be affiliated with Professor Guowei Wei (https://math.msu.edu/People/directory-profile.aspx?personId=100379) , who will direct their research activities. The research associates will engage in our active instructional mentoring program… more
- Michigan State University (East Lansing, MI)
- …Bioinformatics/protein engineering/ single - cell RNA sequence analysis + Machine learning /deep learning + Computational topology/geometry/graph. ... Research Associates will be affiliated with Professor Guowei Wei, who will direct their research activities. The research associates will engage in our active instructional mentoring program if their appointment includes an instructional component. Applicants… more
- Beth Israel Lahey Health (Boston, MA)
- …and Harvard Medical School has an exciting opportunity to join our team as a Machine Learning and Artificial Intelligence Scientist. You will be part of an ... and develop innovative AI/ML tools to understand high-throughput biological data, including single - cell RNA sequencing. + Develop novel AI/ML tools to improve… more
- Harvard University (Cambridge, MA)
- Details Title Postdoctoral Fellow in Machine Learning and Design of Biological Systems School Faculty of Arts and Sciences Department/Area Science Division ... in biological systems. We are looking for exceptional candidates with background in machine learning and/or computational biology. Research will focus on both… more
- Stanford University (Stanford, CA)
- …CyTOF, CODEX, and single - cell RNA-seq + Familiarity with machine learning /algorithms/computational methods such as sparse methods for regression such as ... tools such as PRECOG and EcoTyper (Luca/Steen et al, Cell 2021). **Duties Include:** + Analyzing genomic and other...to patient outcomes and treatment responses + Applying sophisticated machine learning approaches to such data and… more
- Bristol Myers Squibb (Seattle, WA)
- …+ Strong and applied knowledge required in analysis and modeling of single cell molecular data. + Experience building novel machine learning methods or ... research, and broader fields including knowledge science, epidemiology and machine learning -across the full lifecycle of drug...+ Integration and analysis of diverse data sources including single cell and bulk molecular data, genetic… more
- BD (Becton, Dickinson and Company) (Milpitas, CA)
- …Life Sciences you will have the opportunity to create next-generation machine learning models to advance the state-of-the-art in cell analysis. The Staff ... Technologies is responsible for the design, development and documentation of machine learning models for high-dimensional data analysis, image processing… more
- Stanford University (Stanford, CA)
- …apply. Successful candidates will demonstrate a solid grounding in molecular biology, single cell , multiomics, spatial genomics assays, genetic editing, and ... Our goal is to apply and develop next-generation experimental tools for emergent single cell and spatial genomics technologies, focusing on dissecting the… more
- Children's Hospital Los Angeles (Los Angeles, CA)
- …and single - cell omics data. + Proficiency with image processing, machine learning , and deep learning techniques. + Proficiency in scripting ... cell genomics data from tumors obtained pre and post therapy. * Create machine learning -based pipelines to identify changes in spatial omics patterns of gene… more
- UT Health (TX)
- …genetics, or genomics. + Excellent teamwork and communication skills. Candidate with a machine learning and single - cell omics background and ... the potential to obtain extramural funding is strongly preferred. **HOW TO APPLY:** Note that all application materials must be submitted through the UTHealth Houston online system. As part of the application process, the candidate should provide a current… more
- University of Utah (Salt Lake City, UT)
- …time)** **Job Summary** Applications are invited for appointment as a Post-doctoral Fellow in Single Cell and Spatial Omics for two years, with the possibility ... work on interdisciplinary projects related to the use of single - cell RNA -seq, single - cell...analyze genetic data. Experience using data analysis pipelines and machine learning analytical approaches is also preferred.… more
- MD Anderson Cancer Center (Houston, TX)
- …industry. Experience with R and Python. Experience with Machine learning /Deep learning OR single cell data OR spatial data analysis. Experience with ... cancer-driving epigenome-networks by applying computational methods for the analysis of single cell multiome and spatial transcriptomics and epigenomics… more
- Takeda Pharmaceuticals (Boston, MA)
- …more), multi-modal data integration, network analysis, and meta-analyses. + Strong machine learning experience is preferred. + Statistical analysis experience ... + Use multimodal/foundational models including but not limited to clinical data, single - cell , and genomics. + Develop AI/ML models, knowledge graphs and… more
- Merck (Cambridge, MA)
- …(eg, Visium, Xenium, CosMx, MERFISH, etc). + Proven track record of applying machine learning algorithms and advanced computational methods to analyze spatial ... transcriptomics data, single - cell RNA sequencing (scRNAseq) data, leading to...and pipeline development + Proficiency in statistical analysis and machine learning techniques for biological data interpretation.… more
- MD Anderson Cancer Center (Houston, TX)
- …analysis on biological datasets including parametric and non-parametric tests, data mining / machine learning algorithms. * Aid in the utilization of software ... computational tool sets and software. * Assist in the application of machine learning and artificial intelligence approaches to enable systematic investigation… more
- Stanford University (Stanford, CA)
- …data analysis and research at the intersection of genomics, data science and machine learning . Specifically, the candidate will work on developing and applying ... cutting edge approaches for modeling massive single cell and bulk multi-omic datasets and...as hosting conference, meetups, or other events related to machine learning and cloud computing for biological… more
- Amgen (South San Francisco, CA)
- …of Functional Genomics. **What you will do:** + Apply computational, statistical, and machine learning techniques for the analysis of internal and external omics ... or analyses, including bulk RNA-seq alignment, transcriptomic assessment of edited cell lines, and single cell multi-omics. + Support NGS data management… more