2017-08-13  -  Computational Biologist, Data Science Research  -    -  

Our R&D team is collegial and interdisciplinary, attracting scientists and engineers from the top universities and research centers. We are seeking a computational biologist—anywhere in the spectrum from the mathematically inclined molecular biologist to the software savant with basic knowledge of genetics—to join us as a research and data scientist.  [More]

Originally posted on 2017-08-13
2017-08-13  -  Computational Biologist, Immuno-oncology  -    -  

We seek a highly motivated computational immunologist/biologist to be part of a larger inter-disciplinary team that focuses on target discovery, validation and biomarker research in immune-oncology. The successful candidate should have a strong computational background with proven track record of having applied computational solutions to solve biological problems. [More]

Originally posted on 2017-08-13

Janssen Research & Development, L.L.C., a division of Johnson & Johnson's Family of Companies is recruiting for an a Scientist, Computational Biology, located in Cambridge, MA. The Janssen Human Microbiome Institute (JHMI), a member of Johnson & Johnson, aspires to be the global leader in the emergent field of the microbiome, by accelerating the translation of microbiome research into breakthrough solutions that promote health.  [More]

Originally posted on 2017-08-11

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]

Originally posted on 2017-08-09

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]

Originally posted on 2017-08-09

We look for talented and self-motivated computational biologists to join our team to study human disease using large-scale omics datasets. The projects will involve analyzing DNA and RNA data, elaborating deconvolution of cell populations and associated cellular phenotypes, integrating mult-level omics data... [More]

Originally posted on 2017-08-09

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]

Originally posted on 2017-08-09

We seek a talented computational scientist who will work in a highly collaborative environment on the analysis, statistical modeling, and the generation of hypotheses from high-dimensional tissue, cell and molecular data. The successful applicant is expected to play a key scientific role, leveraging innovative computational analysis strategies and methods on rich patient data to empower data-driven decisions...  [More]

Originally posted on 2017-08-09

Job Duties: Perform professional work in support of scientific research using technical knowledge of software, software development, networking, and/or hardware in a complex computing environment. Subject matter expert in multiple areas of computing technology, and specific knowledge of molecular biology and genetics;Manage research laboratory computer hardware and software programming and maintenance... [More]

Originally posted on 2017-08-09

The Yang Lab is seeking self-motivated individuals with strong background of computational biology to study cancer genomics. The main goal of the lab is to explore the functional consequences of somatic alterations in cancer patients, to identify driver alterations, and to understand the evolutionary process of cancer by integrating multi-dimensional data from large scale cancer studies such as The Cancer Genome Atlas (TCGA). [More]

Originally posted on 2017-08-08