Job Requirements: M.Sc. or higher Degree in Bioinformatics
The Translational Immunology Laboratory managed by Dr. Adrian Liston is looking for a skilled and motivated bioinformatician. This internationally recognized research group is embedded in the infrastructure of the VIB and KUL and consists of three major research divisions: the tissue and disease team, the molecular Treg team and the primary immunodeficiency team that unite to understand the factors that influence immune activation and immune tolerance. [More]
The BIH core unit bioinformatics is looking for a highly-motivated, detail-oriented individual. You will be responsible for NGS data analysis in translational research projects. Our team is passionate about understanding genetic variations and how to transform data into clinically actionable results. The ideal candidate will be a team player with in depth understanding of sequencing data and software [More]
Psychosis Neurobiology Laboratory, Psychotic Disorders Division (McLean Hospital and Harvard Medical School) is seeking a research scientist to perform neurophysiological and computational modeling analyses of psychiatric diseases – acquiring and analyzing an array of biological and behavioral data to better understand the mechanisms and recovery trajectories for severe mental illness, particularly bipolar disorder and schizophrenia. [More]
Will provide leadership in computational analysis of or the logical and technical processes necessary for building analyses of phenome, metabolome, glycome, lipidome, inflamome, transcriptome, epigenome, and genome, as well as in the integration of such with electronic medical record platforms. He or she will also have a proven academic track record of innovation in one or more these. The computational and database systems developed by the applicant will be used to gather, generate, and track patient data and develop medically actionable hypotheses. [More]
We're looking for a Principal Data Scientist to be part of our Business Network team and help draw insights from one of the biggest B2B data stores in the world. A key trait to be successful in this role is to have a love for data and utilize it to solve critical problems and deliver end user value. You will create predictive models, extract insights from data. [More]
AncestryDNA is seeking a motivated, collaborative and talented Bioinformatics Data Specialist with experience organizing and maintaining genomic data and metadata for use in advanced genomics pipelines. Working with a diverse team of geneticists, statisticians, computer scientists and epidemiologists, the Bioinformatics Data Specialist will develop and implement tools and pipelines for integrating and managing our singular and enormous data set of genotypes... [More]
KPMG is currently seeking a Data Scientist to join our Advanced Data Analytics team. Responsibilities: Utilize statistical natural language processing to mine unstructured data, and create insights; analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses; Build document clustering, topic analysis, text classification, named entity recognition, sentiment analysis, and part-of-speech tagging methods for unstructured and semi-structured data... [More]
The Icahn Institute for Genomics and Multiscale Biology at Mount Sinai is seeking a talented, motivated, and passionate individual to drive leading edge research and development as part of the Cancer Genomics and Clinical Genome Informatics groups. You will become part of an interdisciplinary team of bioinformaticians, geneticists, molecular and cell biologists, “big data” scientists, and clinicians engaged in translational research and clinical projects across multiple disease areas. [More]
Community Care Behavioral Health has an exciting opportunity available as a Scientist. The scientist works independently using a robust math toolbox to discover solutions for a diverse portfolio of interesting and challenging problems. The scientist develops, implements, and monitors advanced analytic, medical informatics, and predictive modeling tools for health care programs at the UPMC Health Plan. [More]
Nuna’s Data Science team is focused on the development of smarter, data-driven healthcare policy. We come from fields such as biomedical informatics, health economics, statistics, and epidemiology, with a shared passion for research, experimentation, trial and—of course—error, measurement, learning, and improving. [More]