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This job was posted by https://illinoisjoblink.illinois.gov : For more information, please see: https://illinoisjoblink.illinois.gov/jobs/12166794 Department

BSD PED - Kennedy Center

About the Department

The Hunter Lab at the University of Chicago, Department of Pediatrics, Section of Biomedical Informatics is dedicated to the development and application of advanced computational techniques to biomedicine, particularly the application of machine learning and statistical inference techniques to high-throughput molecular assays. Other areas of focus include automated processing of biomedical texts, anatomically realistic models of neural computation, and neurobiologically and evolutionarily informed computational models of cognition.

The Section of Biomedical Informatics is committed to creating a patient-centric healthcare and research ecosystem where technology integrates with compassionate, family-centered care and rigorous scientific pursuit. By leveraging state-of-the-art informatics tools and methodologies, the Section aims to unlock new insights into pediatric diseases, accelerate research breakthroughs, and enhance clinical decision-making processes.

This position is wholly funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.

Job Summary

The Hunter Lab, directed by Professor Lawrence Hunter, is recruiting a Senior Research Professional to support ongoing research programming. The Senior Research Professional facilitates and monitors daily activities of research projects. Directs engineering and technical support activities to develop and maintain tools and computational methods needed to gather and analyze data. Projects will be varied, and tasks will include the hiring and training of annotators, creating training documentation, and managing expenses for all lab personnel. In addition, the Senior Research Professional will participate in advising graduate students.

Our department follows a hybrid work structure that fosters productivity, collaboration, and employee well-being. Working from the office is encouraged for tasks that require a high degree of collaboration.

Responsibilities

• Hires, trains, and coordinates annotators to mark relations between biological entities in sentences from full-text papers.
• Creates training documentation.
• Manages lab personnel expenses.
• Uses specialized depth and breadth of expertise to lead and conduct research experiments.
• Interprets and collects data and trains others in the interpretation of data. Leads the dissemination of data and significantly contributes to scientific publications and grant writing.
• Leads others to solve complex problems, providing expertise to the team which includes scientists and clinicians from the University and nationally.
• Provides expertise to identify protocol problems, inform investigators of problems, or assist in problem resolution efforts, such as protocol revisions. Provides expertise to evaluate factors such as sample collection processes, data management plans, or potential subject risks.
• Develops laboratory protocols and training on new techniques. Manage, analyze, and make recommendations on complex data sets for research.
• Trains and mentors laboratory personnel.
• Serves as a resource for collecting data and performing analysis. Facilitates and promotes a research project by providing scientific or intellectual information.
• Creates first drafts for scientific writing and publications, including protocols and grants.
• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a PhD in related field.

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Work E perience:

Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.

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Certifications:

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Preferred Qualifications

Education:

• PhD in Computer Science or related field.

Experience:

• Experience utilizing Java, R, Python, C++, Clojure, bash programming.

Preferred Competencies

• Annotation using biomedical ontologies.
• Computational linguistics/natural language processing.
• HTML and JavaScript for web page construction.

Working Conditions

• Eligible for hybrid work based on business needs and the demands of specific tasks. Working from the office is encouraged for tasks that require a high degree of collaboration.

Application Documents

• Resume (required)

When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents of the application.

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