Job Requirements: M.Sc. or higher Degree in Statistics
Thermo Fisher Scientific is a leader in promoting global health. As part of that mission, we are seeking a bioinformatics scientist to contribute to genotyping by sequencing (GBS) projects related to trait selection for plant and animal breeders. As a member of our team, the scientist will design panels for massively multiplexed amplification and targeted sequencing of specific variations of interest to customers within plant and animal genomes. [More]
As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring analytical rigor and statistical methods to the challenges of measuring quality, improving consumer products, and understanding the behavior of end-users, advertisers, and publishers. [More]
Good Start Genetics, Inc. is seeking a highly motivated Bioinformatics Scientist I with significant experience in computational biology and software development to build software to help aide in the interpretation of large scale genomic data sets. The individual filling this position will serve as an integral developer of the computational/analytic tools and analysis pipelines associated with high-throughput genetic technologies under development or running in Good Start’s clinical laboratory. [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]
The Integrative Genomics Group in the Behavioral and Urban Health Program at RTI International has an immediate opening for aBioinformatics Analystteam member. Our NIH-funded research portfolio focuses on the genetic and epigenetic determinants of complex diseases and their interaction with environmental factors. We emphasize cross-institute and university collaborations to advance understanding of the etiology of substance use disorders, infectious disease susceptibility, and pulmonary dysfunction. [More]
The Bioinformatics Analyst primary accountability is to leverage Geisinger data assets to improve quality, efficiency and generate knowledge specifically in the field of health research. Bioinformatics Analyst uses data expertise, programing abilities, and critical thinking skills to solve complex issues as well as identify new and innovative uses and transformations of available data. The Bioinformatics Analyst performs and supervises complex data extraction, transformation, visualization, and summarization to support Research activities. [More]
The Precision Medicine Data Scientist role is responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, bio-informatics, data-mining and visualization techniques on large clinical, demographic, and genomic datasets. [More]
The intern in Applied Mathematics and Modeling group in Scientific Modeling Platforms department will develop techniques for quantitative analysis of 2D, 3D multi-dimensional images towards development of biomarkers in biological datasets to support drug development. The researcher will apply machine learning, deep learning, data mining, image processing and signal processing techniques to extract meaningful information from high-dimensional, multi-modality datasets. [More]
We are looking for data scientists to improve our metabolomics data pipeline and build analytical tools to turn our data into insights.Projects Include: Integrating knowledge about the network of metabolic interactions: we have a wealth of knowledge about the chemical reactions underpinning cellular metabolism. How can we use this knowledge to focus our analysis on results that are more likely to be biologically real and relevant?.... [More]