Job Skills: Machine Learning
The laboratory of Dr. John Pearson has an immediate opening for a postdoctoral researcher focused on the statistical analysis of neural data. This is a one-year full-time position with the possibility of renewal. Women and minority candidates are particularly encouraged to apply.Located in theDepartment of Biostatistics and Bioinformatics (biostat.duke.edu) and the Center for Cognitive Neuroscience (mind.duke.edu) at Duke... [More]
Position Summary and Key Responsibilities: The Postdoctoral Fellow will leverage expertise in machine learning, bioinformatics, data integration and/or cancer immunology to work on projects that drive the CAR T cell therapeutics clinical program at the City of Hope. This role is specifically designed to guide research efforts that aim to understand the genomic and immunological foundation [More]
We seek a candidate interested in neuroscience and genomics with experience in computer vision and machine learning. Reporting to scientists at both the Centre for Addiction and Mental Health & SickKids, the Analyst will work in close collaboration with trainees and software developers in the two labs. Responsibilities: The incumbent will help architect and train deep convolutional neural networks for genome and brain-wide molecular neuroanatomy. [More]
A post for a person with a strong background in machine learning, bioinformatics or related disciplines with an interest in applying deep learning approaches to the area of functional genomics and health is available at Albert Tenesa’s group at the MRC-Human Genetics Unit. [More]
We are looking for researchers to join our newly formed team specializing in Deep Learning. The Deep Learning team splits its time between fundamental research in Deep Learning (both algorithmic and systems) and its applications to Finance. As part of this team you’ll remain connected... [More]
We seek a talented, collaborative Bioinformatics Scientist to participate in algorithm design and implementation, development of processing and data analysis/mining tools, with a focus on Next Generation Sequencing (NGS) and data integration. This individual will play a key scientific role enabling innovative computational analysis strategies... [More]
You are a Data scientist with expertise in proteomic analysis or related computational biology skills. You will be key in integrating internal and public data from proteomics experiments with chemical and genetic screens enabling the discovery and validation of new targets as well as contributing to our understanding of protein interactomes and molecular mechanism of action for targets and candidate therapeutic chemical entities. [More]
The Broad Institute is looking for an exceptional candidate for a unique opportunity. Single cell genomics is revolutionizing our understanding of biology. From redefining our understanding of the types of cells, a fundamental unit in biology, to translating this knowledge to better understand disease phenotypes and the implications of this to therapeutics. Work with some of the premier labs in the world to develop... [More]
Our Artificial Intelligence team is seeking an innovative, results-oriented data scientist to support, enhance, and expand NewYork-Presbyterian’s artificial intelligence program in redefining our healthcare delivery operations. Our mission is to enhance healthcare delivery through integration of machine learning, extracting knowledge from millions of data points... [More]
As a DATA SCIENTIST within our Personalized HealthCare function you will work with meaningful data to generate impactful evidence and insights on our molecules/ medicines and patients, that support R&D, advance scientific and medical knowledge, and enable personalized patient care and access. You will collaborate with peers within the function and across the organization to develop... [More]