Job Skills: Programming in R
GRAIL, Inc. is developing paradigm-shifting clinical assays for early cancer detection, based on unique biological insights from high-intensity sequencing analysis of circulating cell-free nucleic acids. GRAIL is seeking passionate and talented individuals to join us in realizing this mission, which has the potential to dramatically reduce the global burden of cancer. [More]
Roche is the world leader in in-vitro diagnostics (IVD) and tissue-based cancer diagnostics and a front-runner in diabetes management. Roche Sequencing is seeking a talented Bioinformatics scientist to collaborate with experimentalists on computational analyses and to build the underlying analysis algorithms that enable the approval of next-generation sequencing (NGS) IVDs to impact patients through personalized medicine. [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]
Booking.com is looking for data savvy professionals to join our team of data scientists. You will be working with stakeholders throughout the company to generate understanding, strategy and suggest actions based on data. If you consider yourself to be that unique hybrid of data hacker, business analyst, communicator and mentor that maintains a strong customer focus and values pragmatism over perfection, then we’d like to hear from you. [More]
The DOE Joint Genome Institute (JGI) in Walnut Creek, CA has an exciting position available for a Computational Biologist Postdoctoral Fellow which offers excellent opportunities for interdisciplinary training in genetics, genomics, epigenomics, and systems biology. You will participate in research focused on developing approaches to identify and characterize conserved cis-regulatory elements genome-wide across many species. [More]
The primary focus of the position will be to analyze RNA sequencing data to further classify and characterize human tumors. This will include unsupervised approaches for subtyping tumors, characterization of mutations and structural alterations and development of gene signatures associated with clinical and molecular features. [More]
KPMG is currently seeking a Data Scientist to join our Advanced Analytics team in our Atlanta, GA office. Responsibilities: Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses; Build recommendation engines, spam classifiers, sentiment analyzers and classifiers for unstructured and semi-structured data ;Cluster large amount of user generated content and process data in large-scale environments using Amazon EC2, Storm, Hadoop and Spark... [More]
One of our key clients is a growing player in Boston's renowned pharmaceutical & biotechnology space. The organization's leading scientific team has a growing project portfolio and as such is looking to bring on board a Principal Data Scientist with management experience to build out the team. [More]
Perform statistical and bioinformatics analyses of high throughput sequencing data including DNA methylation data, ATAC-seq, RNA-seq, ChIP-seq, exome sequencing, single cell genomics, and GWAS data. Participate in the execution of high throughput sequencing data, which would include cell processing, cell culture, DNA and RNA extraction [More]
The University of Pittsburgh Center for Medicine and the Microbiome (CMM) is seeking a Bioinformatics Engineer. The Bioinformatics Engineer will work as a computational biologist and big data specialist, focusing on mathematical and computational analyses and management of multi-omics data sets, relevant to the study of the microbiome. This position incorporates a wide range of skills and activities emphasizing bioinformatics and computer software engineering. Knowledge of biostatistics and computational modeling such as machine learning or metabolic modeling is also an asset. [More]