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Nextonic Solutions

Computational Scientist - AI/ML

Nextonic Solutions, Severn, Maryland, United States, 21144

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Overview

The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community. Responsibilities

The successful candidate will design and implement machine learning algorithms that integrate diverse omics datasets including genomics, transcriptomics, proteomics, and metabolomics data to create comprehensive organoid characterization profiles. They will develop predictive models that assess organoid quality and functionality based on molecular signatures and identify biomarkers that correlate with successful organoid development. The role involves creating computational tools for comparing organoid characteristics across different protocols and laboratories to support standardization efforts. Collaboration with experimental teams to validate computational predictions and translate findings into actionable protocol improvements will be essential. Required Qualifications

Candidates must hold a PhD in computational biology, bioinformatics, computer science, or a related quantitative field with demonstrated experience applying AI/ML methods to biological systems. Strong programming skills in Python and R are required, along with experience with machine learning frameworks and statistical analysis packages. Knowledge of multi-omics data integration techniques and experience with biological pathway analysis are necessary. Familiarity with cloud computing platforms and high-performance computing environments is required. Preferred Qualifications

Previous experience working with organoid datasets or tissue engineering applications is highly desirable. Experience with deep learning approaches for biological data, knowledge of systems biology principles, and familiarity with network analysis methods will be considered valuable assets. Experience with collaborative research projects and manuscript preparation is preferred. Details

Seniority level: Mid-Senior level Employment type: Full-time Job function: Other Industries: Government Administration Referrals increase your chances of interviewing at Nextonic Solutions by 2x Get notified about new Computational Scientist jobs in

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