Temporary/Student Research Assistant

Department ​
 
BSD IPP - Mobile Units

About the Department

​

The newly created Institute for Population and Precision Health (IPPH), located in the Biological Sciences Division, will integrate a wide spectrum of factors such as human health behaviors, environmental factors, social and economic factors, policies and genetic determinants of health, into studies focused on the treatment and prevention of disease, as well as the maintenance of wellness. Leveraging and integrating the University of Chicago’s considerable institutional strength in population science with research spanning diverse fields such as genetic medicine, cancer epidemiology, microbiome, and epigenomics, the Institute will have the common goal of improving human health outcomes. Another major goal of the Institute will be to develop a new multidisciplinary training program to equip researchers with emerging tools and methods to conduct precision health research within a population health framework. Our faculty lead research projects in biostatistics, epidemiology and health services research and participate in interdisciplinary teams with faculty in other departments to address complex problems in health and healthcare, in our communities and around the globe. This at-will position is wholly or partially 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 Information ​
 

Job Summary:

This temporary position is to support the Institute for Population and Precision Health (IPPH) data research and IT efforts for our research programs in 2023. This position is largely remote, with the possibility of in-person tasks in the IPPH offices at the University of Chicago Medical Center in Hyde Park. The primary functions of the position will be to assist in data collection and analysis for the All of Us Research Program (All of Us) and the Chicago Multiethnic Prevention and Surveillance Study (COMPASS). This Temporary Student Research Assistant (SRA) will assist program investigators and staff in data collection, cleaning, and analysis. The SRA may also assist in developing the IPPH Electronic Research Management System (ERMS) in Python and TypeScript.

Responsibilities:

• Assists program investigators and staff in data collection, cleaning, and analysis Aid in enrollment for research programs. That will entail helping potential participants that have technological difficulties.

• Assists in developing the IPPH Electronic Research Management System (ERMS) in Python and TypeScript.

• Conducts follow-up phone calls to research participants.   

• Learns and understands the IPPH research programs.

• Distributes marketing materials or set up areas to leave marketing materials to current and potential partners.

• Performs specific protocol procedures (data management, survey/questionnaire administration and the like) required to conduct the study and retain research subjects.

• Understands protocols and may collect information about adverse events (AEs), identified in the protocol or investigator brochure.

• Prepares for or participate in quality assurance audits under close supervision or following specific protocol procedures.

• Participates in study-related documentation, such as protocol worksheets, procedural manuals, adverse event reports, institutional review board documents, or progress reports.

• Performs other related work as needed.

Competencies:

• Knowledge in relevant field.

• Attention to detail.

• Ability to work independently and as part of a team.

Additional Requirements ​​
 

Education, Experience, or Certifications:

Education:

• High school diploma/GED required.

• Must be a current undergraduate or graduate student at any university required.

Experience:

• For current students, we are looking for candidates that are currently enrolled in any science or communication-related field of study, though all majors are welcome to apply, required.

Technical Knowledge or Skills:

• Analytical skills.

• Problem-solving skills.

• Organizational skills.

• Verbal and written communication skills.

• Knowledge of Microsoft Office.

Working Conditions and Physical Requirements:

• Remote.

• Must be able to meet with the IPPH team virtually or in-person.

Required Documents:

• Resume

• Cover Letter

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

Benefit Eligibility ​
 
No

Requires Compliance with University Covid-19 Vaccination Requirement
 

No

Pay Frequency ​
 
Hourly

Pay Range
 
Depends on Qualifications

Scheduled Weekly Hours ​
 
20

Union ​
 
Non-Union

Job is Exempt
 
No

Drug Test Required
 
Yes

Motor Vehicle Record Inquiry Required
 
No

Health Screen Required
Yes

Posting Date ​
 
2024-03-13

Remove from Posting On or Before ​
 
2024-09-13

Posting Statement: ​​
 

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, 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.

 

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

 

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.

 

All offers of employment are contingent upon a background check that includes a review of conviction history.  A conviction does not automatically preclude University employment.  Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

 

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