Job Skills: Modeling
Cancer is a complex, resilient disease. Cancer is also a genomic disease, and the key to understanding and defeating it is understanding the diverse genomic patterns that drive cancer. The first generation of cancer genomics delivered ‘things’ – mutations, amplifications, fusions, expression profiles etc. We’re looking for an ambitious postdoc to help us understand the next generation of cancer genomics [More]
DUTIES: Contribute to solutions driving easy, automated analysis of human genetic variation obtained by high-throughput sequencing; Develop algorithms and applications deployed in production software for inferring biological knowledge from millions of short reads, and will optimize and validate application software; Work on applications of next generation sequencing, including some or all of the following: detection of ultra-low frequency variants, detection of gene fusions... [More]
The Data Scientist is a key role within Intrexon’s Data Science & Computational Biology Unit. This position is responsible for modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytic skills, the candidate will also be proficient at integrating and preparing varied datasets... [More]
Executes research with potential to build and direct a research group that applies computational approaches to improve understanding of living systems at the molecular and population levels. Develops new methods in computational biology; applies machine learning techniques to problems in genomics to understand and predict how living systems respond to treatments and changing environments. [More]
We are looking for exceptional candidates to build out our automated analytical pipelines, develop novel algorithms and models for genomics and proteomics, and create scalable platforms for large scale computation. This position reports to the Senior Director of Computational Sciences and Engineering. [More]
As a Data Scientist your key responsibility is to figure out the drivers of campaign effectiveness. You are part of the Global Media Analytics team which sits within the Marketing Science department and is responsible for analyzing all online media (display and video) campaigns on performance. [More]
Tired of the same old software design? The super high cost of living in the Bay Area? Want a real challenge? Want to fix a long line of terrible software designed by biologists? Then look no further then "Gateway to the Northwest." Ultra-low cost of living and huge potential for growth in large multi-omic datasets of complex microbial ecosystems. [More]
Within Amyris R&D, we are searching for a highly energetic, curious, and self-motivated scientist with a strong background in both computing and biology to join our Scientific Computing team. Research at Amyris is a highly multidisciplinary effort that needs brilliant contributions from life sciences and engineering disciplines in order to take projects from concept to market. [More]
As a member of the team, you will provide support for development of a large-scale computational system dynamics model of biological systems, including development, coding, calibration, validation and scaling. [More]
A talented and motivated scientist in advanced computing or statistical modelling is required to support the PhenoMeNal project, an EU-funded activity to develop e-infrastructures for human metabolomic and related genomic data. The project is building an integrated and sustainable framework for the processing and analysis of medical metabolomics data. [More]