- AbbVie (North Chicago, IL)
- …Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. Job Description Single - Cell Machine Learning Intern Overview Envision ... the GRC to develop robust methods for reference-based, automated cell type assignment in single - cell ...university, pursuing a PhD in Bioinformatics, Statistics, Applied Mathematics, Machine Learning or other related field +… more
- Mount Sinai Health System (New York, NY)
- …Scientist to join our team. We are focused on the fields of single - cell brain genomics, machine learning , and neurodegenerative disorders. This position ... brain omics. This position offers a chance to develop or enhance your skills in single - cell genomics, machine learning , and big data analytics. You will… more
- University of Pennsylvania (Philadelphia, PA)
- …in translational neuroscience, physiology, cell and gene therapy, single cell biology, machine learning and computer vision, gut-brain interactions, ... and other fields. The successful applicant will be able to leverage these resources in developing a collaborative but independent research program. Should the applicant commercialize or advance technologies from the preclinical to the clinical stage, The… more
- US Tech Solutions (Cambridge, MA)
- …insights into disease mechanisms and identify potential drug targets. + **Develop Machine Learning Models:** Contribute to the development and implementation of ... high-throughput molecular profiling data. **Key Responsibilities:** + **Build a Single - Cell Atlas:** Utilize publicly available single... machine learning models for data analysis and… 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
- New York Genome Center (New York, NY)
- …We are interested in developing integrative multi-modal data analysis tools incorporating single cell omics data, imaging data, clinical phenotypes, variants and ... role is to identify and develop completely novel computational approaches with focus on single cell genomics. The candidate should be an independent thinker that… more
- Bristol Myers Squibb (Princeton, NJ)
- …Structure and Design team embraces novel approaches to computer-aided drug design, machine learning , and structural biology. The integration of these disciplines ... optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives...an interest in the use of artificial intelligence and machine learning for molecular design. In this… more
- Bristol Myers Squibb (San Diego, CA)
- …Structure and Design team embraces novel approaches to computer-aided drug design, machine learning , and structural biology. The integration of these disciplines ... optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives...an exceptional scientific leader interested in artificial intelligence and machine learning for molecular design. In this… more
- Bristol Myers Squibb (Cambridge, MA)
- …ultimately advancing the field of biotherapeutics and improving patient outcomes. The BMS Machine Learning Research Group is seeking a passionate and creative ... optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives...co-op for Spring 2025. As a member of our Machine Learning Research team, you will explore… 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
- Bristol Myers Squibb (Cambridge, MA)
- …careers.bms.com/working-with-us . **Position Summary** We are seeking a highly motivated and talented Machine Learning Intern to join our team and contribute to ... optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives...and biochemical datasets. + Adapt, develop, and implement generative machine learning models. + Evaluate and optimize… 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
- Bristol Myers Squibb (Cambridge, MA)
- …working with large-scale ST data and cutting-edge methods at the interface between machine learning and computational biology. They will also acquire biological ... optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives...insights into complex diseases by learning from bench biologist colleagues. Additionally, interns will have… more
- Bristol Myers Squibb (Princeton, NJ)
- …more: careers.bms.com/working-with-us . **Position Summary** Artificial intelligence (AI) and machine learning (ML) are transforming pharmaceutical research & ... optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives...This internship will provide hands-on experience in computer programming, machine learning and data analysis, as well… 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
- Bristol Myers Squibb (Princeton, NJ)
- …in oncology. The intern will collaborate with experts, work on advanced machine learning models, and contribute to automating and improving histopathological ... In this internship, the applicant will focus on deep learning enabled methods for cell detection and...the Imaging AI team to refine and utilize existing machine learning pipelines for histopathological image analysis.… more
- Memorial Sloan-Kettering Cancer Center (New York, NY)
- …Stem Cell Biology + Developmental Oncology + Regenerative Medicine + Machine Learning + 3D Single - Cell Modeling and Analysis + Biophysics & Imaging + ... and Genetics Program (https://www.mskcc.org/research/ski/programs/cancer-biology-genetics) Chair: Scott Lowe, PhD + Cell Biology Program (https://www.mskcc.org/research/ski/programs/ cell -biology) Chair: Tobias Walther,… 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
- Merck (Boston, MA)
- …+ Demonstrated expertise to decode disease biology by leveraging advanced machine learning and/or statistical inference frameworks to analyze multi-modal ... (AI), Biomarkers, Data Science, Drug Development, Drug Target Identification, Machine Learning , Multiscale Modeling, Nervous System, Neurodegeneration,… more