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Toxicology and epidemiology systematic review tasks, including literature screening, study quality evaluation, and study data extraction. The On-Call Environmental Health Scientist will work between 5 and 20 hours per week to support work on an as-needed basis.
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Other responsibilities will include GIS imagery/data acquisition and management, preparation of a diverse range of maps using ArcGIS and/or AutoCAD; and preparation of high-quality graphics for project reports and presentations.
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The Data Scientist will be responsible for leveraging data, advanced quantitative modeling, financial analysis and cloud-based machine learning technology to enable data-driven strategic decision making.
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The Data Scientist provides technical staff with competencies in data science and data engineering that will specifically focus on data science workflow automation and developing technical data artifacts.
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Duties will include finding and designing new approaches to handling, analyzing and using large volumes of law enforcement, intelligence, investigative, and business data sets; exploring fundamental issues with data handling, search, and retention; solving complex data and storage issues; designing new software coding to improve data search processes; designing, testing and validating the quality of the data and data processes; and analyzing and reporting results with actionable recommendations.
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Excellent proficiency in Python (or R), SQL skill, and an obsession with data breadth, depth, and quality. Are you our Staff Data Scientist? Staff Data Scientist.
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You’ll work with bioinformatics SQA engineers and members of the bioinformatics group to develop test cases that ensure the quality of bioinformatics software used in FDA regulated environments.
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You will focus on projects from the start of assay development to clinical trial implementation as well as data management to ensure we are obtaining high-quality data from our clinical trials.
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Knowledge and experience with Texas Railroad Commission (TRRC), Texas Commission on Environmental Quality (TCEQ), New Mexico Oil Conservation Division (NMOCD), and New Mexico Environmental Department (NMED) regulations.
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You have been a data scientist yourself and understand how to drive quality and data science excellence. Lead a team of data scientists build the necessary tooling for data acquisition, data cleaning, data augmentation, model training, and visualization.
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Qualifications:Ph. D. in Cancer/Molecular/Cell biology/Genetics, computational biology, or a related fieldStrong hands-on experience in laboratory research with molecular and cellular biology techniquesProficiency with analysis of high-throughput omics dataOne or more first-author papers published or accepted in a high-quality journalHighly motivated to conduct cutting-edge translational research that answers fundamental biological questions.
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PhD in Statistics, Biostatistics, or related discipline with minimum 7 years of relevant experience in statistical analysis of biomedical data using SAS, R language or equivalent software in the biopharma industry or a related environment.
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Responsibilities:Serving as a data scientist for fair lending and fairness model review for a qualitative review of models including AI/ML natural language processing (NLP) models. Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning.
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Using your quantitative analysis and modeling skills you’ll explore and exploit data sources through the use and creation of scientific processes and technologies to uncover and communicate business insights.
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Reviews, interprets, and analyzes data for technical, quality and compliance to protocols, methods, SOPs, client criteria and Good Manufacturing Practices (GMP) or Good Laboratory Practices (GLP.
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