Job Area: Computational Biology
If you’re a Scientist working within Computational Biology/Bioinformatics, working with GWAS studies or anything related to Human Genetics, looking for a new professional challenge with excellent prospects in a big pharma company, then this could be a perfect fit! Our retained client, one of the top 20 global leading pharmaceuticals, is looking for a Principal Scientist CompBio to work within their Expert Group as part of their Research Department in an idyllic town in South-West Germany. [More]
We are seeking an enthusiastic Bioinformatics Software Engineer to contribute to a large cross-institute program called Designing Future Wheat (DFW). This is a collaboration between several UK research institutes with the aim to develop improved wheat varieties for future generations. You will be based at Rothamsted Research and work within the Bioinformatics group and collaborate closely with other partners at Earlham Institute, the European Bioinformatics Institute and University of Bristol. [More]
BioPoint is seeking to hire a Computational Biologist / Bioinformatics specialist for a position in Cambridge, MA. This is not a laboratory scientist role. The Applied Computational Biology team supports functional genomics projects across the entire drug pipeline from target discovery through pre-clinical and clinical development as well as manufacturing. [More]
The laboratory of Dr. Harlan Robins, Head of Computational Biology, is recruiting two postdoc positions funded by Stand UP 2 Cancer and the V Foundation to study the interaction between the adaptive immune system and cancer. This position will come with a competitive postdoc-level salary with great benefits for a two-year position with some possibility of extension. Fred Hutchinson Cancer Research Center, home of about 190 faculty including three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research. [More]
The Department of Biotechnology, group “Bioinformatics” (AG Himmelbauer) is currently seeking a Postdoctoral Research Associate (f/m) Bioinformatics / Computational Biology (Reference code: 56) Extent of employment: 40 Hours per Week. Duration of employment: 1st of August 2017 to 31st of July 2022 (with option for open-ended contract).Gross monthly salary and pay grade in terms of collective agreement for university staff (payable 14 times per year): B1 lit. b, [More]
The Computational Biology department is seeking a highly motivated Computational Biologist (m/f) with strong track record in the field of bioinformatics and/or computational biology to strengthen the existing team of outstanding international scientists and computational biologists contributing to the improvement of the New Oncology cutting-edge technology. [More]
The Applied Computational Biology team supports functional genomics projects across the entire drug pipeline from target discovery through pre-clinical and clinical development as well as manufacturing. This position will work closely with scientists to design genomic experiments that incorporate NextGen Sequencing approaches (e.g., RNA-Seq, targeted amplicon sequencing)... [More]
We are seeking a highly motivated scientist with extensive expertise in computational biology and bioinformatics to advance our industry-leading ADC technology. The successful candidate will support the growing computational and bioinformatics efforts within our Translational Research department and collaborate with wet-lab and biological scientists. [More]
The Applied Computational Biology team supports functional genomics projects across the entire drug pipeline from target discovery through pre-clinical and clinical development as well as manufacturing. This position will work closely with scientists to design genomic experiments that incorporate NextGen Sequencing approaches... [More]
The Bork group seeks a Computational Biologist for the analysis of large-scale microbiomics data (metagenomics, metatranscriptomics, metabolomics etc). Focus will be on biological discovery by data integration. Data will come from various human microbiome projects and should be digested to gain functional understanding. [More]