Job Skills: Programming in R
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]
The Research Group Systems Biology and Bioinformatics invites talented and highly gifted candidates to apply for a Doctoral researcher position (Systems Biology) starting as soon as possible.We expect that our analysis will reveal the microbial compositions of the fecal microbiota that predicts subjects at risk for overgrowth and dissemination of C. albicans and suggest microbiome-based therapeutic interventions to reduce the risk of the disease development. [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]
We are looking for a creative and insightful Trait Biology Analytics Team Lead to help us transform unprecedented genomics data into higher yielding crops and pest control solutions. You will lead a team that is using genomics data and bioinformatics tools to identify promising transgenes for future biotech crops. [More]
We are seeking to introduce new biological screening technologies to our scientific platforms, with a focus on high content, data rich detection methods such as transcriptomics, imaging and flow cytometry. This combination of high content and high throughput will require the development and application of modern machine learning algorithms g if we are to get full value from the data. [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]
We are seeking a highly skilled and motivated Scientist to lead and support implementing data assessment and decision systems for biological assays: High-throughput Screening (HTS), in vitro and cellular, in vitro and in vivo ADME and toxicology. This person will establish and support the models and processes used to assess the quality of data, the statistical methods to apply, the criteria for selection of hits, and the capture of decisions why particular methods were selected. [More]
The EMMES Corporation, organized in 1977, is a privately owned Contract Research Organization (CRO) located in Rockville, Maryland. EMMES is dedicated to providing statistical and epidemiological expertise, computer systems development, data management, study monitoring, regulatory guidance, and overall operational support to clients engaged in clinical and biomedical research. EMMES is seeking a Bioinformatics Programmer. [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]