Job Skills: Programming in R
Description We are searching for a highly collaborative individual to join a team of scientists focused on testing and translating human genetic discoveries into testable therapeutic hypotheses. We seek a human geneticist, biostatistician or genetic epidemiologist who is well-versed in analyzing human genetic data (DNA) of complex phenotypes. The successful candidate will participate on the statistical design and analysis of human genetic studies with an emphasis on next generation sequencing and genome-wide association studies. [More]
Dual reporting to Translational Development and Research Analytics, the candidate will be part of the late stage translational development group based in either Northern New Jersey or San Francisco bay area California. We seek a talented, collaborative computational scientist to lead work on the analysis of high-dimensional tissue, cell and molecular profiling data. The successful applicant is expected to play a key scientific and strategic role leveraging innovative computational analysis strategies and rich patient data to empower data-driven decisions for development programs in Celgene’s clinical portfolio. [More]
KPMG is currently seeking a Data Scientist, to join us in any major US city with a KPMG office. Responsibilities: Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses; Build recommendation engines, spam classifiers, sentiment analyzers and classifiers for unstructured and semi-structured data; Cluster large amount of user generated content and process data in large-scale environments using Amazon EC2, Storm, Hadoop and Spark; Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, [More]
Unique opportunity to join an interdisciplinary team bridging the Harvard Medical School, the Massachusetts General Hospital, and the Broad Institute of Harvard and MIT. The Lawrence Lab at the Massachusetts General Hospital Cancer Center seeks well-qualified candidates to join a team of computational biologists working at the forefront of cancer research and treatment. We use computation as a powerful microscope to study both the fundamental biology of cancer initiation and progression, as well the diagnosis and treatment of cancer patients in the hospital setting. [More]
The Division of Epidemiology within the Department of Internal Medicine at the University of Utah seeks a Bioinformatics Data Analyst/Epidemiologist to join its bioinformatics research team. As one of the Analyst/Epidemiologist team, the successful candidate will evaluate the relationship between medical conditions and their causes and medical interventions and their outcomes through data analysis. The selected candidate will collaborate within a research team completing all aspects of a project through study design, regulatory approvals, project management, statistical analysis, as well as interpretation and dissemination of results. [More]
We are seeking a colleague with extensive training and experience in computational biology, statistics, and population genetics to join our highly productive, world-class Ancestry Research & Development team. Our team both develops novel algorithms to interpret the data of individual 23andMe customers and analyzes data from over 1 million customers in order to publish novel findings regarding human genetics and history. We are seeking a team member who is excited to develop cutting edge features that will reach millions of people. [More]
We seek a Post-Doctoral Fellow/ Computational Biologist to join the Analytical Genomics of Complex Traits team on an exciting multi-omics project to characterise the biological processes underpinning osteoarthritis progression. In this position you will take a leading scientific role in a large-scale project that will combine methylation, chromatin immunoprecipitation sequencing, capture Hi-C, RNA sequencing, quantitative proteomics and whole genome sequencing data from disease-relevant patient tissue samples [More]
Applicants are invited to apply for a position as head of the bioinformatic unit at LUDC. The unit consists today of approximately 12 people (including bioinformaticians, a genetic statistician, a data manager, a computer engineer and an IT-data manager), but it is envisioned to expand in the next few years Approximately half of the personnel is embedded in the various research groups and directly managed by the different LUDC PIs; while the other half will be managed for the day to day duties by the applicant. As head bioinformatician, the applicant is expected to coordinate the activities of the bioinformatic unit in order to optimize resources and support researchers at LUDC with bioinformatic expertise. [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. [More]
We are seeking to recruit a Postdoctoral Fellow to join the Petsalaki research group at the European Bioinformatics Institute (EMBL-EBI). You will use high throughput biological datasets, data integration and statistical modelling to study the global cell signaling responses in healthy and disease conditions. [More]