Job Area: Bioinformatics
A post-doctoral level NIH-funded data scientist position is available in the group of Prof. Gaurav Pandey at the Icahn School of Medicine at Mount Sinai in New York City. The target project for this position is the development of novel machine learning algorithms to extract enhanced predictions and actionable knowledge from crowdsourcing operations. [More]
The Icahn School of Medicine at Mount Sinai in New York City is seeking a talented, self-motivated individual to participate in cutting edge research as a member of the Bunyavanich Lab at the Institute for Genomics and Multiscale Biology. The successful applicant will be part of an interdisciplinary team led by Supinda Bunyavanich, MD, MPH that applies computational analysis and bioinformatics to interpret multi-scale data generated from subjects with asthma and allergic diseases. [More]
A postdoctoral training position is currently available in the Section on Molecular Neurogenetics, Medical Genetics Branch of the National Human Genome Research. The position is located in the laboratory of Dr. Ellen Sidransky, whose translational research group uses genomics and cell biologic approaches to better understand the clinical diversity encountered... [More]
A post-doctoral position in the Figueroa group at the University of Minnesota is available beginning in July 2018. The appointee will join an international project investigating the biology of the pathogenic rust fungus, Puccinia coronata f. sp. avenae , which inflicts significant yield losses in oat. The overarching goal of the project is to determine the role of sexual recombination in the epidemiology and pathogenicity evolution . [More]
Data Scientist will collaborate with colleagues, analyzes and interprets data from various sources. Compiles reports, charts, and tables based on established statistical methods. Data Scientist will collaborate with senior scientists, statisticians and engineers for the purpose of doing modeling to accurately determine the quality, accuracy, and precision of data in our measurements and processes. [More]
BD is revolutionizing single-cell biology through the invention and application of technologies like BD Rhapsody™ and BD™ AbSeq. The successful candidate will work closely with a team of software developers, bioinformatics scientists, and molecular biologists in this exciting and fast-paced field. She or he will be part of the Customer Support team to empower the delivery of single-cell analysis pipelines to our growing customer base. [More]
RBW have partnered with several prominent and well established biotechnology start-ups in the Greater Boston area to search for Scientists at various levels (junior - senior) with a background in Computational Biology and Bioinformatics. You will join multi-disciplinary teams and play an integral role in implementing the strategy for large-scale genomic data analysis across pre-clinical and clinical domains. [More]
The Suh Laboratory at the Albert Einstein College of Medicine is actively seeking 1-2 highly motivated postdoctoral fellows interested in utilizing contemporary computational (epi)genomics methods and approaches to address biological questions related to aging and aging-related diseases. Candidate should possess a decent background in genomics and bioinformatics... [More]
Purpose and Main Duties:Postdoctoral–level post in bioinformatics and computing, developing and curation of software and websites/webservers and databases, creating new structural biology analysis methods, and user liaison via electronic (and in-person) methods. The post holder will specifically also contribute to the design... [More]
Fabric Genomics is hiring a Bioinformaticist who focus on using bioinformatics tools, statistical analysis and machine learning techniques to analyze very large genomic data sets. You must be passionate about extracting insights from large data sets, and using quantitative analysis to answer complex questions. You will collaborate with other scientists, software engineers and users to develop novel techniques for analyzing genomic data with the goal of developing actionable insight. [More]