Job Skills: Microarray
The Staff Engineer, Software will provide rapid prototyping and analysis on data sets, sequence alignments and data mining services to support R&D projects. Responsibilities: Develop software application and analytical tools that will support the various scientific and business needs of the company; Develop and validate complex bio-analytical algorithms; Provide technical guidance and mentorship to software development team... [More]
We’re seeking a talented Bioinformatics Scientist to collaborate with experimentalists and software engineers on computational analyses and method development and validation that enable the creation of genome-scale IVDs that will impact patients through personalized medicine. You should enjoy working with others, using existing bioinformatics methods and developing new workflows for analyzing microarray and next-generation sequencing (NGS) data, and have a strong desire to pursue creative solutions to challenging problems in an interdisciplinary and fast-paced environment. [More]
Prenetics is seeking a passionate and talented Bioinformatics Scientist with experience in managing and analyzing genomic data and metadata for use in advanced genomics pipelines. Working with a diverse team of genomic scientists, computer scientists, physicians and nutritionists, the Bioinformatics Scientist will develop and implement tools and pipelines in order to facilitate their use in new product development. [More]
We seek a talented, collaborative inter-disciplinary scientist to catalyze computational analysis of clinical and molecular high-dimensional profiling data to advance Celgene’s patient-focused Translational Development efforts. This individual will play a key scientific role leveraging innovative computational and statistical analysis strategies and a wide range of data sources to empower data-driven decisions and improve therapeutic outcomes in complex diseases of unmet medical need. [More]
This position fulfills a critical role within Translational Science. We are looking for an exceptional bioinformatics scientist with expertise in immuno-oncology research to apply state of the art genomics/genetics analytical approaches to help with understanding of disease mechanism, genetic variants, biological pathways, and predictive biomarkers with the ultimate goal of developing therapies. [More]
The department is seeking an associate professor and research leader in quantitative genomics, bioinformatics and systems biology with a focus on animal biosciences. The department hosts and manages Europe’s largest life science and biomedical super-computing facility – Computerome.The associate professor will actively seek external funding to develop a strong research program in quantitative genetics, epigenomics, systems genomics/biology and bioinformatics related to both animal and human biomedical and biosciences. [More]
The Associate Bioinformatician manages and organizes large databases, and conducts statistical and genomic analysis. Uses software to gather, store, manipulate and analyzes research data. The Associate Bioinformatician will work with a group of researchers/biologists on innovative genomic analyses of structural variation, epigenetics, and gene expression in an integrated environment combining experimental and bioinformatic approaches to human disease. [More]
Rutgers, The State University of New Jersey, is seeking to add a creative, curious, and driven Bioinformatics researcher to join the team at RUCDR Infinite Biologics. The bioinformatics team at RUCDR is solutions driven in helping researchers (public and private) understand common but complex diseases that ultimately leads to finding treatments and cures. [More]
There are 2 opportunities for postdoctoral fellows with the Gentles and Diehn labs at Stanford, both analyzing genomic data in relation to treatment response and survival outcomes. One project is to develop and apply methods for identifying biomarkers and processes involved in lymph node and distant metastasis, initially focusing on public datasets. The second is focused on analyzing interactions with the immune system at primary tumor sites. [More]
The candidate should be highly trained and have substantial experience in genomics, bioinformatics, computational biology, human population genetics, biostatistics, or a related field. He or she should have experience analyzing high-throughput genomic datasets derived from microarray and/or other high-throughput technologies (e.g., experience with GWAS, gene expression, ChIP-Seq, ChIP-chip, or CNVs) and skills in some of the following programming languages (R / Bioconductor, Matlab, SQL, SAS, Perl, Python, Java, or C/C++). [More]