Job Skills: Programming in Matlab
Responsible for assisting in ensuring data integrity and data competency for clinical and research data critical to business intelligence. This initiative addresses the current information architecture and technical environment challenges to establish the data request management foundation to create a standardized data access format across functional data. To successfully perform this role, the Specialist must have experience in the genomic and/or biology field, including deep knowledge of reference data repositories, standard practices, and analytical tools to transform, migrate, and analyze genomics data in disparate systems. [More]
We seek a postdoctoral fellow for a project that aims to quantitatively extract structural and functional cancer imaging features from clinical trial imaging data sets (MRI, PET-CT and CT). This process will utilize a high-throughput image characterization workflow, with correspondence assessed among selected imaging features, genomic signatures, and molecular markers to ultimately improve patient stratification and outcome measures. [More]
ISAS seeks a talented and highly motivated Bioinformation to pursue bioinformatics infrastructure projects in collaboration within the German Network for Bioinformatics-Infrastructure (de.NBI). The primary focus is the setup of lipidomics search engines and the provision of databases for targeted lipidomics in biomedical research. A successful candidate will work with interdisciplinary teams (clinical, biostatistics, analytical and bioinformatics scientists), will stream line data analysis and integration across various domains. Regular publication of scientific and methodological results is strongly encouraged. Finally, the successful candidate will be able to effectively present complex results in a clear and concise manner that is accessible to a diverse audience of quantitative, experimental, and clinical scientists. [More]
he University of Luxembourg has the following vacancy in the Luxembourg Centre for Systems Biomedicine (LCSB): Scientific programmer for systems biology (m/f). Your Role: Develop and maintain of the virtual metabolic human database; Assist researchers with their programming needs; Assist with data pre-processing and data analysis; Maintain programming code. [More]
CAMRIS is seeking a bioinformaticist to work at the Walter Reed Army Institute of Research in Silver Spring, MD. Responsibilities: Perform knowledge engineering functions between the IT-based staff and the medical research science staff. Consult with users, management, vendors, and technicians to determine computing needs and system requirements. Develop new and improved concepts, principles and techniques that will advance the body of knowledge of information management and apply advanced computer science methods and techniques to solve complex computer processing requirements for data analysis, inventory management and clinical system interface. [More]
We are seeking a highly motivated scientist to join the bioinformatics team at the CGR and provide analytical support to DCEG. Working with DCEG investigators, external collaborators, CGR management and staff, the Bioinformatics Scientist I will provide leadership and support to the extensive DCEG GWAS analytical efforts. Duties include: 1) accessing, extracting and preparing data for analysis, including combining data run on multiple platforms as well as externally generated data in support of meta-analyses, 2) harmonizing and maintaining diverse data with associated metadata, 3) routine GWAS analytical tasks including data QC, imputation, population structure analysis, association analyses. [More]
We seek a talented computational scientist to specialize in the analysis and interpretation of high-throughput assay data to elucidate the mode of action of compounds and the molecular basis of drug sensitivity and resistance. The insight gained will contribute directly to identification and development of novel therapies for complex diseases of unmet medical need. [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]
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]