Job Skills: Programming in Matlab
Conduct research dealing with the understanding of human diseases and the improvement of human health for pharmaceutical drug discovery and development. Provide bioinformatics analytical expertise as required in support of development of applications and design and maintenance of database to access and visualize genetic and phenotypic feature data, for analysis of high-throughput genomic data and its application to target discovery, drug discovery, and clinical stratification oncology projects. [More]
We are seeking to appoint a highly motivated Postdoctoral Research Associate to work on a BBSRC funded project linking metabolism to ageing and chromatin. This position is for a candidate with training in computational biology and bioinformatics and experience of applying these skills to a biological problem. [More]
Crowe Horwath is looking to expand its Machine Learning team with additional practitioners to invest in additional products and services in this disruptive area. Applicants should have advanced degrees and experience with Machine Learning, a.k.a. Artificial Intelligence or Cognitive Learning. Leverage large sets of structured and unstructured data to develop tactical and strategic insights; Collaborate with analytic and data teams to set objectives, approaches, and work plans... [More]
We have an exciting opportunity to join our team as a Scientific Programmer. In this role, the successful candidate The Institute for Computational Medicine (ICM) is a newly established Institute at NYU Langone Medical Center that aims to answer the most pressing biological and medical questions using computational approaches and analysis. [More]
We are a growing global genome informatics and diagnostics company offering the world’s most proven technology for next generation sequence-based genetic testing and analysis Our ideal candidate is the type of person who constantly wants to push the boundary of what is impossible. We are working in a field and creating a technology with functionalities that have never existed before. [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... [More]
We seek a talented, collaborative inter-disciplinary scientist to lead work on the computational analysis of high-dimensional tissue, cell, immune and molecular profiling data in close collaboration with Celgene’s strategic research & development partners.This individual will play a key scientific role leveraging innovative computational analysis strategies to empower data-driven decisions for therapeutic development programs in Celgene’s Research and Development organization. [More]
The BioPharma team at Guardant Health is focused on partnerships with leading biotech and pharma companies who are at the forefront of cancer therapeutics and diagnostics. In this role, you will help support the bioinformatics and data analysis necessary to generate and maintain these partnerships. [More]
The Bioinformatics Lab of Department of Medicine is looking for a highly motivated bioinformatician I . The candidate will manage and organize large databases, and conduct statistical and genomic analysis, and uses software to gather, store, manipulate and analyzes research data. The Bioinformatician I will work with a group of researchers/biologists on innovative genomic analyses of structural variation, epigenetics, and gene expression in an integrated environment combining experimental and bioinformatic approaches to human disease. [More]
We seek a talented, collaborative inter-disciplinary scientist to conduct computational analysis of high-dimensional tissue, cell and molecular profiling data to advance Celgene’s patient-focused Molecular Medicine efforts. This individual will play a key scientific role leveraging innovative computational analysis strategies and a wide range of data sources to empower data-driven decisions and improve therapeutic outcomes in complex diseases of unmet medical need. [More]