Job Skills: Next Generation Sequencing
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]
The Duke Human Vaccine Institute and the Duke Center for HIV/AIDS Vaccine Immunology & Immunogen Discovery (CHAVI-ID), providing national and international leadership in the fight against major infectious diseases such as HIV, influenza, and malaria, are currently recruiting for a highly motivated individual to join our team. The Duke Human Vaccine Institute (DHVI) is an interdisciplinary, interdepartmental institute dedicated to the study of basic and translational science required to understand host-pathogen interactions that can be translated to vaccines against human diseases. DHVI comprises a team of highly interactive investigators that have expertise in mucosal and systemic virology, immunology, molecular biology, microbiology and animal models. [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]
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]
The Senior BioInformatics Scientist – NGS Data Analysis (level determined by candidate experience) will develop complex analysis pipelines in areas such as genome assembly, RNA-seq and expression analysis, metabolomics, proteomics, and variant analysis. Work will span areas that include microbial and yeast work through Human health and agricultural biotechnology. [More]
The Koren research lab in the Department of Molecular Biology and Genetics studies DNA replication timing and mutagenesis using predominantly genomic approaches. Specific interests include human variation in DNA replication timing, genetic determinants of DNA replication timing, non-random patterns of mutations along the genome, and epigenomics. [More]
J2 Solutions is seeking an experienced genetics bioinformatics/biostatistics specialist to join one of our growing clients. We are looking for a talented, team-oriented, and motivated individual to join this great client. This position will be participating in and contributing to the success of an innovative molecular information company, whose focus is on discovering novel epigenetic biomarkers from next generation sequencing data and translating them into a range of new clinically valuable assays, new drug targets, new diagnostics, patient stratification tools, etc. [More]
We are seeking a Computational Scientist to become a member of our computational biology team at our Cambridge office. As a Computational Scientist, you will work internally and externally to operationalize the graph technical vision by executing, evaluating and refining an integrated graph-based genomic analyses toolset to process raw data in high priority areas including calling hereditary variants, calling somatic/cancer variants, and calling RNA-Seq expression and variants (isomers). As a Computational Scientist you will work in teams to create and develop tools in an integrated graph genomic analyses toolset that will include global and local alignment, integrated graph caller, local iterative assembly, global assembly and phased haplotype assembly. [More]