Job Skills: Programming in R
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]
A postdoctoral position is available in the laboratory of Dr. Lilia Iakoucheva at the University of California, San Diego (http://iakouchevalab.ucsd.edu/research.html) Genomics and genetics of neuropsychiatric disorders A postdoctoral position is open to applicants with strong computational biology/systems biology/bioinformatics/statistics/networks backgrounds who are interested in applying their experience to study psychiatric disorders (autism and schizophrenia). [More]
The Pinello Lab at Massachusetts General Hospital / Harvard Medical School is looking for Postdoctoral candidates excited about computational challenges in (epi)genomics, single-cell analysis and CRISPR genome editing. The candidate(s) will work on interdisciplinary projects developing innovative computational approaches to systematically analyze and integrate sources of genetic and epigenetic variation and gene expression variability in human traits and diseases. [More]
Seeking individuals with expertise in bioinformatics and an understanding of the cancer genome to identify relevant cancer driver aberrations. The successful candidate will work collaboratively in a matrix environment to develop data analysis strategies to address key questions about cancer for our internal and external customers. Applications include diagnostics, target and biomarker discovery, indication selection, and clinical development strategies. [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]
Granger Genetics is currently seeking a full-time Bioinformatician. The ideal candidate will have experience with 1) analyzing next-generation sequencing data with an eye toward biological interpretation, 2) developing analytic pipelines by integrating existing scientific tools with custom codebases, and 3) supporting existing/legacy code. [More]
As part of a talented and multi-disciplinary team advancing an exciting new approach to drug discovery and development, the successful candidate will be expected to manage a team of bioinformaticians, projects, timelines, and interface with AbbVie Stemcentrx scientists helping them with high throughput assay data analysis, visualization, and cross assay platform analyses in support of both discovery research and translational / biomarker discovery. [More]
The Data Scientist, Fraud Data Analytics within the Enterprise Counter-Fraud organization will report into the Director, Senior Lead Data Manager for Threats & Analytics. This person will be responsible for identification, design, development, delivery and monitoring of analytic opportunities—leveraging existing and new data sources. The Data Scientist will leverage technology and advanced analytical methods to organize, analyze, evaluate and discover new insights. He/she will take ideas from inception to implementation and communicate results to all levels of management. [More]
OBJECTIVES: Design, implement and execute state-of-the-art bioinformatic tools for the collection, curation, analysis, mining and visualization of complex biological data; Identify pharmacological mechanisms and adverse outcome pathways that are related to the observation of in vivo toxicity, and propose actionable and testable solutions; Enable the design and selection of high-quality drug candidates through the identification of project-related safety liabilities and application of validated in silico and in vitro tools. [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]