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Experience with virtualization technologies like VMware or Hyper-V. Knowledge and some experience in AI areas like machine learning, AI engineering, Data engineering/scientist is in plus.
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Interact closely with systems administrator to provide assistance for maintaining and running software packages for next generation sequencing data analyses. Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
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Education: Bachelor’s degree in Computer Science, Information Technology, Engineering or relevant field with a minimum of 5+ years of relevant experience or 10+ years of relevant federal Data Architect, Database Administrator, Data Manager, and / or Data Scientist experience.
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Forward Slope currently has a full-time position for an Engineer/Scientist III to join our Global Security and Engineering Solutions Team. This position is located in Charleston, SC. Vendor/platform specific certification (e.g., Microsoft Certified Solutions Developer (MCSD), Microsoft Certified Applications Developer (MCAD), Microsoft Certified Database Administrator (MCDBA), Sun Certified Professional (SCP), Red Hat Certification Program (RHCP), CISCO Certified Network Professional (CCNP), Oracle Certified Professional (OCP), other.
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Eligibility Criteria Premium Pay Rate Eligible Hours Petroleum Scientist 1 – Petroleum Scientist Administrator positions occupied by licensed professionals Licensed LAPELS Engineer: $ 2.00 per hour Hours Actually Worked Licensed LBOPG Geoscientist: $2.00 per hour.
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Data engineering and data pipeline implementation experience. Collaboration with data scientist teams - application teams - and project management teams. PostgreSQL database administration (DBA) experience o Database recovery and tuning o Maintain backups and disaster recovery o Monitor and optimize database performance o Manage security and authentication o Data extraction and transformation o Data modelling and schema design o Manage users - roles - and tablespaces o Resolve production data issues and preserve data integrity.
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Experience Preferred •Minimum of three (4) years of experience as a database administrator (DBA) •Minimum of two (2) years of experience as a data engineer •Experience in managing and maintaining Data Lakes - Data Warehouses - and public cloud or on-prem data environments.
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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. The DarkStar Group is seeking a Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Reston, VA. Below is an overview of the project, as well as information on our company, our benefits, and our $25,000 referral program.
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Priority will be given to those in health-related computational research areas including, but not limited to bioinformatics, data analytics, artificial intelligence/machine learning, and medical image processing.
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As a Data Engineer at Omnitech, you would qualify for multiple labels including business intelligence consultant, data warehouse consultant, data acquisition (ETL) consultant, database administrator consultant, master data management consultant, data analyst, data architect, data scientist to name a few.
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The Ting lab also develops computational tools that facilitate sequencing data analyses and interpretation. With supervision and assistance from senior bioinformatics personnel and PI, conduct data QC, sequence alignment, sequence analyses, annotation, and interpretation.
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You will manage a team including a clinical administrator and a data scientist to administer studies to improve outcomes and validate current technology groups. What You Will Be DoingReporting to the VP of Engineering the Sr. Director of Clinical Affairs will administer all clinical and research studies to confirm validation of treatment protocols.
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Ability to understand tools used by data scientist and experience with software development and test automation. Design, develop, integrate, and deploy tools for Data Science and ML Research, such as, Model Monitoring, Model Governance, Model Deployment, Data Management, Feature Engineering, among others.
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Create new scripts as directed to carry out specific data manipulation or adapt published software to project needs and computational infrastructure. With supervision and assistance from senior bioinformatics personnel and PI, perform genomic data analyses, such as single cell RNseq, RNseq, ChIP-seq, and HiC-seq.
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Provide assistance and input in developing and implementing workflow for data analysis in collaboration with research scientists. Sequencing Data Analysis. Under direct supervision, build and deploy data analysis support systems for large data sets.
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