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data quality, understand business processes and how they impact data quality, prepare data including labelling of data for Machine Learning experiments. • Able to pilot and build POC's to demonstrate and
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infrastructure to promote rich, systemic, automated data generation and curation. They will harness machine learning to drive unattended decisions (self-optimization and self-correction) as well as to aid in
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National Institutes of Health/National Library of Medicine | Bethesda, Maryland | United States | about 2 months ago
genomics, develop novel machine learning methodologies, and create programs addressing critical questions in gene regulation under the guidance of Dr. Ivan Ovcharenko. This position is located at the NIH
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Laboratory experience in a relevant field of science Strong attention to detail and ability to collaborate and work in team environment Good Computer skills including word processing, Excel, PowerPoint and
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leverage your Machine Learning (ML) expertise to expand our effort in ML predictions and their translational application to rational vaccine design. You will be instrumental in leading the development
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to microbiological techniques acquired in academic/industrial setting. 2. Strong communication and computer/technical skills. \nRelocation support available\n Work Location Assignment: On Premise The annual base
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maintenance including scheduling preventative maintenance, fleet replacement, planning discussions, working with finance for equipment tracking and IT for computer compliance. Work with vendors to understand
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controls systems in these environments is a plus. A good understanding of protein chemistry, protein analytics, and bioprocess technology is required. Nice-to-Have Strong analytical and computer skills are
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experience. Laboratory experience in biology, immunology, virology, and/or microbiology. Ability to collaborate and work in team environment. Good computer skills including word processing, Excel, PowerPoint
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the scientific rationale underpinning the assays through appropriate training and self-learning. Qualifications Must-Have Bachelor's degree with at least 2 years of relevant work experience or Master's