Job Skills: Programming in Matlab
The R&D group at Centrillion is a multidisciplinary team of biologists, engineers, chemists, and computational biologists developing new genomics technologies, applications and products that will advance research and healthcare. We are looking for a Data Scientist to join our growing Product Science Group. The new team member will work with Centrillion scientists to support development efforts, contributing to experimental design and analysis of large data sets. [More]
The post holder will support the development of bioinformatics analytical pipelines in R or Matlab to enable the mining of omics datasets using predictive/prognostic gene expression signatures. In this role you will perform computational data analysis for a wide range of biomarker research projects, analysing large complex data sets from a variety of data types including gene expression and next generation sequencing. [More]
Data Analytics is at the core of our company we are seeking an exceptional talent to join our team. You will be a key contributor and critical to the success of the company. This is the job for you if want to be where your ideas to be central to a world-changing and lifesaving product. We are developing new to the world diagnostic products using a revolutionary sensor paradigm. [More]
Dr. Sheng Li’s lab at JAX-GM is seeking exceptional scientists who are interested in studying cancer epigenomics using large-scale genomics datasets. The Li Lab focuses on combining computational approaches and high throughput datasets to uncover novel mechanisms that contribute to drug resistance and cancer evolution. [More]
A position is available immediately for a Bioinformatics Analyst to join the lab of Dr. Sheng Li at the Jackson Laboratory for Genomic Medicine. The research focus of the lab is in the area of cancer epigenome. This position offers the opportunity to make leading contributions to cutting edge research in computational cancer biology and translational research. [More]
Research, design, and develop algorithms for the interpretation of Electrocardiograms (ECGs) and other novel applications. Test ECG algorithms for performance characteristics such as sensitivity and specificity specifications. Collaborate with engineering team to implement and deploy algorithms to AliveCor productions systems. Collaborate with regulatory team to build and submit FDA required materials (e.g. Form 510K) for the use of ECG analysis algorithms. [More]
The successful applicant will be responsible for constructing genomic and transcriptomic libraries, as well as their assembly and analysis using bioinformatics tools in a high-performance computing environment. Work will require the development of new research methodologies and tools, and publishing results in high-impact journals.In addition, successful applicants will be responsible for co-training undergraduate, graduate students and technicians, as well as contributing to the overall research environment of the University. [More]
Analyzes high-throughput next- and third-generation sequencing “omics” data, including data from genomics, transcriptomics, proteomics, epigenomics, metabolomics, and metagenomics experiments. Interacts closely with physician scientists and bioscience researchers to facilitate precision medicine development by interpreting vast amounts of “omics” and clinical data. [More]
we are looking for a highly motivated and talented individual with a computational background to join the Cancer Data Science team. You will collaborate with scientists and engineers in a collegial work environment characterized by informality and intellectual rigor. By applying your computational and modeling skills to multimodal cancer data, you will drive the generation and testing of hypotheses leading to new biological insights. [More]
As a Postdoctoral Scientist, your overall mission is to design, validate and implement automated high-output in silico and in vitro workflows in the R&D biopharmaceutical platform. You will focus on scientific innovations to strengthen our knowledge of the biopharmaceutical properties of the drug substance and drug product, ensuring optimal in vivo performance. [More]