Job Skills: Machine Learning
The Institute for Biostatistics and Informatics in Medicine and Ageing Research at the Rostock University Medical Center (Germany) seeks, starting 1 February 2017 or as soon as possible thereafter,a Full-time Postdoctoral Scientific Researcher (E13/E14), with a focus on omics data analyses,for 4 years, with the possibility of an unlimited contract thereafter. [More]
This project aims at identifying predictive markers of ex vivo drug sensitivity in Acute Myeloid Leukemia (AML). The successful candidate will investigate the application of machine learning methods to predict which drugs are most effective for a given AML tumour exploiting in-house and public data resources. [More]
The Department of Computer Science in the College of Science and Mathematics at California State University, Fresno seeks applicants for a tenure-track, academic-year position as an Assistant Professor of Computer Science, with preference given to candidates specializing in operating systems, compilers, algorithms, security, cloud computing, machine learning, and/or big data. The successful candidate will teach undergraduate and graduate students, conduct scholarly and applied research, and engage in service-related activities. [More]
The Applied Computer Scientist will reside in the Network Dynamics and Simulation Sciences Laboratory (NDSSL) Division within Virginia Bioinformatics Institute, and work with an interdisciplinary team of researchers and scientists in the areas of data and network analytics, statistics and high performance computing systems. In addition and on behalf of the NDSSL division, the Applied Computer Scientist will be expected to publish extensively in peer reviewed high impact journals and conferences on topics related to the NDSSL’s research topics. [More]
We are looking to recruit an enthusiastic, highly motivated Bioinformatician to work in the EGA and Archive Infrastructure Team at the European Bioinformatics Institute (EBI) located on the Wellcome Trust Genome Campus near Cambridge in the UK. [More]
he Department of Computational Medicine and Bioinformatics (DCM&B) at the University of Michigan Medical School seeks outstanding applicants for 1 senior and 3 junior to mid-career faculty members to establish independent research programs that address emerging challenges in analyzing large, complex datasets. Innovative researchers in the areas of bioinformatics, computational biology, and advanced methodological development as applied to biomedical research are encouraged to apply [More]
We are seeking an experienced Computational Biologist/bioinformatics scientist to be part of the growing Genomics team at Jounce. This position will play a key role in the to target identification/validation of new targets. The successful candidate will help build the company’s bioinformatics capabilities focusing on analysis of internal data and public databases to identify novel potential targets in the Cancer Immunology field. [More]
We're looking for a Data Scientist to be part of our Business Network team and help draw insights from one of the biggest B2B data stores in the world. A key trait to be successful in this role is to have a love for data and utilize it to solve critical problems and deliver end user value. You will create predictive models, extract insights from data, find patterns in payments and buying data, and use your analytical skills to take our business applications to the next level. [More]
The Broad Institute of MIT & Harvard, a world leader in genetic research, is looking for exceptional candidates to join the Cardiovascular Disease Initiative. The successful candidates will join an interdisciplinary team of computational biologists, bioinformatics analysts, laboratory scientists and clinicians who are working together to identify new genes that lead to heart disease, and to discover new therapeutics. [More]
Be a key member of the Biomarker Development (BMD) team and be responsible for developing and executing data analysis strategies that investigate drug efficacy, safety and disease heterogeneity at the molecular level. Help to drive innovation and maintain high quality reproducible research standards with a keen eye towards the identification and dissemination of actionable biological information. Help to develop novel methods of data integration of multimodal profiling data to enable the prediction of relevant clinical trial features and identification of subpopulations of disease. [More]