Job Skills: Machine Learning
Job Purpose: To support researchers and carry out independent computer-based research in the MRC-University of Glasgow Centre for Virus Research (CVR), perform data analysis and develop novel analytical approaches for viruses and virus-host interaction data sets. Typical data sets are from full viral genome sequencing projects, transcriptomic and proteomic experiments. [More]
We are seeking a postdoctoral associate in cancer genomics and personalized medicine who will be responsible for computational method development, data analysis, and experimental design. The qualified candidate will integrate information from a combination of sources, including high throughput screens, proteomic, and next-gen sequencing data in order to generate and validate hypotheses of therapeutic relevance to pancreatic cancer. [More]
Elsevier is looking for a Data Scientist with a focus on Machine Learning and Statistical NLP techniques to help build state of the art applications for the health sciences domain. Hands on coding of NLP/ML/statistical algorithms is an absolute must. The data scientist will participate in the design, prototyping and implementation of TDM/ML and automation applications for our businesses. [More]
KPMG is currently seeking a Cognitive Data Scientist Natural Language Processing, to join our Organization. Responsibilities: Define, develop and prototype cognitive solutions for KPMG's business needs, such as Natural Language Processing (NLP), Linguistics, Advanced Semantic Design, Information Extraction, Information Retrieval, Probabilistic Decision Making, image recognition, deep learning, Machine Learning, cognitive science and analytics... [More]
As the Data Scientist part of Data Science & Services (DSS) team at DIS, you are responsible for conceptualizing, planning and executing advanced analytics projects to discover key insights improving NAVIFY product portfolio leading to better and more efficient patient care. In close cooperation with other Data Scientists you will design and execute advanced analytics projects... [More]
Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity. RESEARCH SCIENTIST/COMPUTATIONAL BIOLOGIST, Biological Engineering, to help establish a platform for next-generation genetic design at the MIT-Broad Foundry... [More]
The Job: Work with large, complex data sets; solve difficult, non-routine analysis problems; apply advanced analytical methods as needed; Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale... [More]
If you are a Machine Learning Scientist with 5+ years of experience, please read on! What You Will Be Doing: We are seeking a candidate with expertise in machine learning (ML) to develop and benchmark predictive algorithms based on proprietary biological data sets. [More]
We are looking for a bioinformatician to further develop the Remedium AI machine learning-based software package. You will apply your background knowledge gained through either graduate studies or work experience to the principal R&D challenge of drug development. Responsibilities: Develop and maintain custom software to support ongoing research activities... [More]
Develop, implement and maintain bioinformatics pipelines for the processing of large quantities of next-generation sequencing ( NGS ) data. Create computational approaches and analytical tools, and apply statistical methods, machine learning, and other advanced applications for the analysis of large-scale biomedical/sequencing data. [More]