Job Skills: Programing in C
Master’s level research position in computational biology focused on cancer genomics is available at the Dana-Farber Cancer Institute/Harvard Medical School for a highly motivated, hard-working, individual. The position will be jointly co-mentored by Dr Rani George (Pediatric Oncology) and Dr Kwok-Kin Wong (Medical Oncology). The successful candidate will apply computational solutions for integrative analysis of gene expression, RNAseq, and ChIPseq data to gain mechanistic insights into the effect of drug treatment in altering the transcription factor activities, epigenetic patterns, and pathway activities in cancer cells. [More]
Under supervision of the Principal Investigator, the Computational Biologist will develop computational methodologies and analysis techniques relevant to cancer stem cell research. The work associated with this position will be part of the daily activities of the Division of Regenerative Medicine Labs. [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]
Ariadne seeks a talented C++ Programmer to develop and maintain an indexing engine and a web content delivery framework. The engine processes and makes searchable terabytes of rapidly growing biomedical information. The web portal system handles over 10 million hits from 1 million unique users every day. Both are high-performance, multi-threaded, distributed software systems running on hundreds of Linux-based servers at National Institutes of Health (NIH) in Bethesda, MD. [More]
A postdoctoral research scientist position is available to join our efforts in developing biostatistical methods for the analysis of the 3D structure of the human genome. One of the goals is to identify differential 3D genomic regions associated with complex diseases and interpret them in the context of reference epigenomic data. [More]
The primary responsibility of the Senior Bioinformatics Analyst will be assisting bioinformatic-study design and analysis, and supervising more junior analysts. The analyst will contribute to the broad research effort in pediatric oncology and hematology at Baylor Medical School’s and Texas Children’s Hospital. The analyst will be expected to work independently on select project and within a team environment on other projects. [More]
Perform basic and applied research in bioinformatics and image processing, with considerable scope and complexity in which existing theory or methods may be limited or lacking, with responsibility for identifying and selecting the problems to be studied, the approach to them and the results obtained. Specifically, to develop and implement methods of analyzing imaging and large-scale genomic datasets in ocular diseases. [More]
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]
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]