Job Skills: Programming in Matlab
SomaLogic is seeking a bioinformatics quantitative analyst to work with the clinical development group and the corporate strategy and development group on identifying novel patterns in high dimensional proteomic data, discovering proteomic signatures, and the application of bioinformatics techniques to elucidate biological function. [More]
The primary job responsibility of the selected candidate will be the management of the main analysis pipeline used at TGen to automate the analysis of next-generation sequencing data. This job will involve frequent interactions with project leaders around the institute to develop project specific processes and to ensure projects are analyzed in timely manner. [More]
As a Data Scientist you will model complex datasets, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques in the legal industry. The position will be based in Santa Clara, CA. ou Might Be the Right Person if….. You enjoy working in a fast-paced, entrepreneurial environment... [More]
Psychosis Neurobiology Laboratory, Psychotic Disorders Division (McLean Hospital and Harvard Medical School) is seeking a research scientist to perform neurophysiological and computational modeling analyses of psychiatric diseases – acquiring and analyzing an array of biological and behavioral data to better understand the mechanisms and recovery trajectories for severe mental illness, particularly bipolar disorder and schizophrenia. [More]
Clinical Virology Bioinformatics needs an additional resource to support software development and data analysis activities for our data systems. These data systems provide batch data processing for clinical and non-clinical results, data reporting to regulatory agencies, and scientific analyses for research efforts and manuscripts. [More]
The candidate should be highly trained and have substantial experience in genomics, bioinformatics, computational biology, human population genetics, biostatistics, or a related field. He or she should have experience analyzing high-throughput genomic datasets derived from microarray and/or other high-throughput technologies (e.g., experience with GWAS, gene expression, ChIP-Seq, ChIP-chip, or CNVs) and skills in some of the following programming languages (R / Bioconductor, Matlab, SQL, SAS, Perl, Python, Java, or C/C++). [More]
Community Care Behavioral Health has an exciting opportunity available as a Scientist. The scientist works independently using a robust math toolbox to discover solutions for a diverse portfolio of interesting and challenging problems. The scientist develops, implements, and monitors advanced analytic, medical informatics, and predictive modeling tools for health care programs at the UPMC Health Plan. [More]
The Bioinformatician I manages and organizes large databases, and conducts statistical and genomic analysis. Uses software to gather, store, manipulate and analyzes research data. The Bioinformatician I will work with a group of researchers/biologists on innovative genomic analyses of structural variation, epigenetics, and gene expression in an integrated environment combining experimental and bioinformatic approaches to human disease. [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]
KPMG is currently seeking a Data Scientist to join our Advanced Analytics team. 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]