Job Skills: Machine Learning
We are now looking for Deep Learning Genomics Scientist: NVIDIA is using the power of GPU computing and AI to accelerate the adoption of DNA and RNA sequencing technologies. We are seeking passionate and talented individuals to help us realize our mission, which has the potential to accelerate precision medicine and precision agriculture. [More]
If you are interested in helping build new bioinformatics technologies and in developing career opportunities at Lilly, you are encouraged to consider this excellent opportunity at Lilly San Diego or Indianapolis. The successful candidate will join a small team of computational biologists and software engineers located in San Diego, California developing and leverage various computational tools to support cutting edge approaches for biopharmaceutical discovery and development. [More]
The Department of Computer Science at ETH Zurich invites applications for a professorship with a focus on Medical Informatics. Applicants should have an excellent record of internationally recognized research, which demonstrates a strong link to core computer science (machine learning and information systems) and applications in medicine and life science applications... [More]
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]
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]
Responsibilities: Within the Data Group organization, we are driving the future of R as a tool for enterprise advanced analytics. As an effort to achieve this, we work on accelerating & scaling R analytics workloads by integrating with modern big data processing frameworks like Spark. We’re seeking strong highly motivated software engineers for our analytics engine involving... [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]
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]