Department
PME Riesenfeld Lab
About the Department
Job Summary
Responsibilities
Conducts research and development in AI and ML areas of computational biology and economics analysis, potentially including quantum computing algorithms and software.Collaborates with internal and external students, scientists, researchers, programmers, and engineering teams.Contributes new ideas that can lead to new experiments and research grant proposals.Helps develop, design and conduct research projects, according to plan.With moderate supervision, manages research-related duties and tasks.Documents research efforts and software adequately for sharing with the PI and lab members.Helps disseminate research results in high-impact journals and conferences.Conducts periodic training for current or new members of the research group.Recognizes abnormal or potentially abnormal results and communicates about them and sets up procedures to investigate and correct problems.Ensures project compliance with different policies, procedures, directives, and mandates.Complies with institution, state and federal regulatory policies, procedures, directives, and mandates.Analyzes and maintains data and/or specimens. Conducts literature reviews. Assists with preparation of reports, manuscripts and other documents.Maintains recruiting and scheduling research subjects; assisting with developing or amending study protocols; assisting with developing data collection tools; assisting with building databases; and providing general administrative support. Has general awareness in research techniques or methods, regulatory policies and procedures, and relevant scientific field.Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.
Work Experience:
Certifications:
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Preferred Qualifications
Education:
Bachelor’s degree in a related field such as computer science, chemistry, biology, physics, applied math, etc.Experience:
Possess experience in a research laboratory, preferably in an independent project.Demonstrated problem-solving, organization, analytical, and coordination skills, including attention to detail.Technical Skills or Knowledge:
Basic computer proficiency, including computer programs and standard laboratory equipment.Basic programming in a few coding languages.Knowledge of regulatory policies and procedures.Basic computer programming and debugging proficiency, ideally in multiple languages.Proficient on a computer cluster and ideally programming with GPU nodes.Preferred Competencies
Knowledge of relevant scientific fields and procedures.Work both independently and in collaboration with other lab personnel.Demonstrated problem-solving, organization, analytical, and coordination skills, including attention to detail.Demonstrated excellent oral and written communication skills.Demonstrated ability to read and comprehend scientific and technical literature, and methods to stay abreast of developments in the field.Work independently and collaboratively with other lab personnel.Familiarity with first principles simulation techniques.Assist in training lab personnel.Working Conditions
Laboratory environment.Application Documents
Resume/CV (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Pay Rate Type
FLSA Status
Pay Range
The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Posting Statement
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
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