Job Skills: Machine Learning
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]
Research, design, and develop algorithms for the interpretation of Electrocardiograms (ECGs) and other novel applications. Test ECG algorithms for performance characteristics such as sensitivity and specificity specifications. Collaborate with engineering team to implement and deploy algorithms to AliveCor productions systems. Collaborate with regulatory team to build and submit FDA required materials (e.g. Form 510K) for the use of ECG analysis algorithms. [More]
Do you have skills in machine learning and programming? Would you like to use data to improve clinical care for cancer patients? Join the exciting Bioinformatics internship program at Genomic Health, the world's leading provider of genomic-based diagnostic tests that seeks to identify optimal treatment for each individual cancer patient. [More]
The Data Engineer is responsible for the development and deployment of UCSF’s Research Computing shared capability, which includes computing nodes, Very Large biomedical and health data, shared and best-of-breed tools, metadata and catalog. The role includes data and tool management, curation, engineering and quality maintenance. [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]
The Department of Medicine at Weill Cornell Medical College is seeking a highly motivated researcher with a computer science background to join our team. We are seeking a dynamic individual who will be responsible, as a member of a team, for supporting research efforts by developing script and compute infrastructure to serve the needs of scientists.Expertise will be applied to answer a variety of key biological questions exploring molecular abnormalities, hematological diseases and cancer. [More]
The Plant Biology Division of the Samuel Roberts Noble Foundation, Inc. in Ardmore Oklahoma is seeking applicants for the position of Computational Biologist. The successful applicant will conduct research in computational biology and bioinformatics theory and methods with a focus on the research and development of innovative methods, tools and bioinformatics systems. [More]
We are looking for data scientists to improve our client's data pipeline and build analytical tools to turn our data into insights. This is a direct hire permanent opportunity located in the RTP area.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]
In this role, you are required to use quantitative genetics, GIS (geographic information systems), advanced mathematical models, operations research techniques, simulation and strong business acumen to deliver insight, recommendations and solutions for Seeds Product Development science and business problems. You are required to formulate and apply mathematical modelling and other optimizing methods to develop and interpret information that assists management with decision making, policy formulation or other managerial functions. [More]
e-Therapeutics is a company pioneering the use of novel computational approaches to drug discovery. We are looking for a computational biologist to join our informatics team and contribute to the development of our next generation discovery platform. Example projects could involve working on the application of machine learning to the prediction of cellular interactions, the analysis of post-genome data sets to inform and guide drug mechanism of action experiments, and development of network biology based approaches to drug discovery. [More]