Job Requirements: M.Sc. or higher Degree in Statistics
The Bioinformatics Core of McDermott Center for Human Growth and Development at University of Texas Southwestern Medical Center at Dallas solicits applications for Computational Biologist I & II. Position Details: Candidates will work as part of a team in Center\'s Bioinformatics Core to maintain and revise reliable high performance next-generation sequencing (NGS) data analysis pipeline systems, to process/analyze data in a reliable and timely fashion. [More]
We're looking for a Principal Data Scientist to be part of our Business Network team and help draw insights from one of the biggest B2B data stores in the world. A key trait to be successful in this role is to have a love for data and utilize it to solve critical problems and deliver end user value. You will create predictive models, extract insights from data. [More]
KPMG is currently seeking a Data Scientist to join our Advanced Data Analytics team. Responsibilities: Utilize statistical natural language processing to mine unstructured data, and create insights; analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses; Build document clustering, topic analysis, text classification, named entity recognition, sentiment analysis, and part-of-speech tagging methods for unstructured and semi-structured data... [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]
Nuna’s Data Science team is focused on the development of smarter, data-driven healthcare policy. We come from fields such as biomedical informatics, health economics, statistics, and epidemiology, with a shared passion for research, experimentation, trial and—of course—error, measurement, learning, and improving. [More]
The Department of Bioinformatics is seeking a highly-motivated bioinformatics data analyst to perform bioinformatic data analysis and application development. The successful candidate will have the opportunity to work in a fast-paced and highly collaborative environment to support clinical development programs with a focus on analyzing NGS sequencing data and contributing to web application development. [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]
Designs and develops statistical methodologies and provides NGS data analysis support for analytical validation studies (e.g. precision, reproducibility, limit of detection); Provides NGS data analysis insights for technology development and verification; Authors or contributes to technical documents such as Statistical Analysis Plans, Statistical Analysis Reports, Analytical Protocols and Reports, Validation Protocols and Reports, Clinical Study Reports, or other regulatory documents... [More]
We seek a talented R package developer to participate in the implementation, improvement and maintenance of tools used by the client's Bioinformatics & Computational Biology Department. A successful candidate will work as part of a team of four in a diverse and deeply experienced group of scientists and engineers. [More]
This team needs a permanent “Big” Data Services Developer to join the organization. This role will find you architecting and building a highly scalable real-time data ingestion pipeline application that moves massive amounts of data. You will provide expertise and leadership on making technical decisions and delivering a platform that provides business value. [More]