Job Skills: Machine Learning
Be a key member of the Biomarker Development (BMD) team and be responsible for developing and executing data analysis strategies that investigate drug efficacy, safety and disease heterogeneity at the molecular level. Help to drive innovation and maintain high quality reproducible research standards with a keen eye towards the identification and dissemination of actionable biological information. Help to develop novel methods of data integration of multimodal profiling data to enable the prediction of relevant clinical trial features and identification of subpopulations of disease. [More]
Our team is an outstanding mixture of software engineers, algorithm designers and bioinformatics scientists. We are highly motivated, passionate, excited about our projects and enjoy the journey along with it. We endorse creativity, out of the box thinking and delegating responsibilities beyond the scope of a given role. We move at a high pace while maintaining an agile approach to guarantee the quality of our products. When you’ll join us, you will be working closely with all team members to design, analyze requirements, define use cases and develop/enhance software components for our commercial clinical diagnostics products. You will take a central role in the development of our next generation solution. This will include developing commercial sequencing data analysis pipeline, middleware for implementing assay specific business rules on a server, backend database management, as well as system reporting and web user interface client. [More]
DuPont Industrial Biosciences is seeking a Bioinformatics Scientist with a focus on Data Analytics. The successful candidate will be part of multidisciplinary teams within a large community of computational biologists, molecular biologists, microbiologists, biochemists and biochemical engineers. This scientist will be responsible for bringing Machine Learning and advanced Data Analytics methods to bear on large and complex datasets that are generated through collaborative research projects. [More]
The Sanford Burnham Prebys Medical Discovery Institute at Lake Nona, Florida is seeking a full-time Bioinformatics scientist to analyze sequences and numerical data produced by a variety of genome-scale platforms, in particular next-generation DNA sequencing and DNA expression arrays. Primary responsibilities will include 1) developing data analysis strategies, implementing algorithms, and deploying computational software for the exploration of high-dimensional data; 2) working with wet-lab scientists to facilitate statistical planning of the experiments, exploring novel data representation models with an emphasis on integrating diverse data types into biologically meaningful formats for analysis, interpretation and presentation; 3) participating in bioinformatics applications developments. [More]
Seeking a talented Scientist who is well-versed in analyzing human genetic data in rare diseases and will provide genetics and statistics support to all programs and phases in R&D. The position will be a member of the Data Science, Genomics, and Bioinformatics team that are focused on target identification/validation, patient identification/segmentation, genomics/genetics interpretation, creating/navigating disease landscapes, and integrating data across multiple domains including R&D data, clinical trials and health data, patient data, and business intelligence data. [More]
Work as a bioinformatics scientist for Booz Allen Hamilton focused on business and technical services to support biomedical research and clinical programs. Perform genetic and genomic analyses, Next Generation Sequencing (NGS), Single Nucleotide Polymorphism (SNP) array data analysis, High Performance Computing (HPC) Cluster Management, business development, strategy, and project management. [More]
Work as a systems analyst for Booz Allen Hamilton focused on technical services that support research and development using biomedical, including clinical, survey, and genomics data. Manage High Performance Computing systems running on various Linux platforms. Develop analytical pipelines to solve problems and analyze data and apply expertise in advanced analytics to work with industry leading computing technologists and data scientists. [More]
In this role, you will join a diverse, collaborative and Ever-growing data science team. You will work alongside Highly-skilled practitioners, including a master-class Kaggle competitor, a member of the Apache Software Foundation, and nationally recognized data science thought leaders (with coverage in WSJ, HBR, and many others). You will deliver intellectual capital and solutions that enable our clients to derive the maximum value from their data while solving solve our clients most pressing business needs. [More]
As the Global Head of Communication Surveillance Research and Development Manager, you will be responsible for guiding our technology research and development teams (30+ people) that are developing and maintaining the communication surveillance technical products within Citi. This extends from implementing new capabilities to maintaining products features to developing clear methodology on how to detect risk within communications to developing a true agile/test driven development team to guiding researchers that are working the next generation (NLP, Machine Learning and Search). [More]
We are looking to recruit an enthusiastic, highly motivated Bioinformatician to work in the EGA and Archive Infrastructure Team at the European Bioinformatics Institute (EBI) located on the Wellcome Trust Genome Campus near Cambridge in the UK. The successful applicant will work with a focused team of developers, biologists and user support personnel to provide a world leading reference genetic variation resource as part of the European Genome-phenome Archive (EGA) project. You will engage in both internal and external (national and international) collaborations, especially the RD-Connect consortium (www.rd-connect.eu) and will have the opportunity to gain expertise in biological ontologies, metadata and scientific data modelling primarily related to research into rare disease. RD-Connect is a platform for connecting databases, registries, biobanks and clinical bioinformatics for rare disease research. [More]