Job Skills: Machine Learning
As a Bioinformatics Data Scientist at Roche Sequencing Santa Clara, you will design and analyze experiments to drive development of our sequencing technology and apply it to a wide range of applications. The successful candidate must be excited about learning new concepts from both life and physical sciences and applying them to an interdisciplinary project. [More]
We are currently looking for a computational biologist to reinforce our global bioinformatics team as a Research Scientist. In the context of cancer and gene target discovery, the post-doctoral position will focus on the development of integrative analysis with multiple sources of OMICS data to identify new candidates. The successful candidate will have a demonstrated experience in handling large-scale genomics, transcriptomic, proteomic data and databases, a strong biostatistics background and a good knowledge of cancer biology. [More]
As the leader in the liquid biopsy field Guardant Health has information about the mutational landscapes of over 30,000 patients. We are looking for someone who can help develop and validate statistical and machine learning algorithms to use this data in combination with external data sources to enable breakthroughs in cancer patient care. [More]
Our client in Raleigh is looking for a data scientist to join their growing IT team. Requirements: MS degree in quantitative discipline (e.g., statistics, bioinformatics, computational biology, computer science, mathematics, physics) or equivalent experience; 2 years relevant work experience (e.g., as a statistician / computational biologist / data scientist). [More]
The Research Fellow will participate in the fields of computational and systems biology and cancer genomics within the Department of Biology. The incumbent will assist the laboratory Principal Investigator (PI) in new and on-going research projects in the laboratory; will develop a two-year project that complements the lab's on-going work; and will participate in and assist with the organization of the laboratory's software development efforts. [More]
The Channing Division of Network Medicine (CDNM) at Brigham and Women’s Hospital and Harvard Medical School, in collaboration with GlaxoSmithKline (GSK), is seeking candidates for a post-doctoral position to perform multi-disciplinary research using machine learning approaches to characterize chronic obstructive pulmonary disease (COPD) heterogeneity and longitudinal aspects of disease progression. [More]
We seek a Postdoctoral Training Fellow to join the Yuan lab at The Institute of Cancer Research, London (ICR) and work on the TRACERx project, the largest study of lung cancer evolution in a collaboration with Prof. Charles Swanton at the Francis Crick Institute.The main focus of the Yuan lab is to develop new computational approaches for studying cancer by fusing computer vision, machine learning and bioinformatics . [More]
A post-doctoral level NIH-funded data scientist position is available in the group of Prof. Gaurav Pandey at the Icahn School of Medicine at Mount Sinai in New York City. The target project for this position is the development of novel machine learning algorithms to extract enhanced predictions and actionable knowledge from crowdsourcing operations. [More]
We are accepting applications for multiple postdoctoral research associates in the Statistical Genomics and Bioinformatics Lab at the University of Miami, Sylvester Comprehensive Cancer Center to work on cancer genomic research. The positions will be supported by NCI U24 PGDAC (Proteogenomic Data Analysis Center) for CPTAC (Clinical Proteomic Tumor Analysis Consortium) grant and two other NCI R01 grants focusing on translational bioinformatics research for colorectal and triple-negative breast cancers. [More]
SSS is seeking a Research Assistant I who will work on a data curation project for an NIH client for placental research. Work with Principal Scientist on the following: Conduct biomedical literature reviews from sources including PubMed; Read placental research literature and extract relevant data... [More]