Job Skills: Programing in C
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]
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 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]
Provides assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic, or microarray studies. [More]
The primary job responsibility of the selected candidate will be the management of the main analysis pipeline used at TGen to automate the analysis of next-generation sequencing data. This job will involve frequent interactions with project leaders around the institute to develop project specific processes and to ensure projects are analyzed in timely manner. The successful candidate can expect to be exposed to a diverse array of diseases and will be a key member of our analytical team working to improve the health and outcomes for our patients. [More]
Bioinformatics scientists provide bioinformatics and statistical analysis support for biomarker discovery, IVD product development and CMI tumor molecular profiling service. [More]
We are looking for an enthusiastic and talented postdoctoral researcher to join the lab of Associate Professor Olof Emanuelsson, affiliated with the School of Biotechnology at KTH Royal Institute of Technology in Stockholm. The work will consist of bioinformatics method development for massively parallel sequencing data, with particular focus on RNA-seq, including allele-specific expression (ASE) and transcriptome assembly. [More]
The incumbent of this position will be responsible for the management, processing, and analysis of deep sequencing data from a variety of collaborative projects. The successful candidate will take part in streamlining existing analysis pipeline and developing custom computational strategies for deep sequencing data. This candidate will interact regularly with scientists from different backgrounds including experimental biologists in the Lab. The successful candidate will be self-motivated, and enjoy working in a highly collaborative research environment. [More]
Multiple NIH-funded postdoctoral positions in computational structural biology are available immediately in the lab of Dr. Tseng at Center for Molecular Medicine and Genetics (CMMG), School of Medicine. One of research projects focuses on molecular dynamic simulations in the proteins involved in lipolysis. One focuses on somatic mutations on protein binding surfaces and protein-protein interfaces.thers focus on ER stress-induced proteins that cause symptoms of fatty livers. [More]
The position primarily involves the management and integration of complex biomedical data for research purposes within various projects and consortia. This will include the setup and maintenance of knowledge and data management servers (e.g. openBIS, Wikis, tranSmart) as well as the implementation of ETL data pipelines. Further tasks will include statistical analyses and the integration of high-troughput data and clinical records as well as external data sources. [More]