Research Scientist
The University of Chicago

Job Info

---

Department

BSD IPP - Administration

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 extramural funds (e.g., grant, gift, endowment) which is renewed under provisions set by the grantor. Your employment will be contingent upon the continued receipt of these extramural funds and your satisfactory job performance. If this position is eliminated due to the discontinuation of extramural funding, you will be given a minimum of one pay period's written notice (If exempt: 30 days, If non-exempt: 2 weeks), or pay in-lieu of notice.

Job Summary

The Laboratory for Computational Immunology at the University of Chicago has an opening for a Research Scientist specializing in Computational Immunology. The job supports activities related to the lab's scientific research projects and assists in drafting presentations on research findings.

Responsibilities

• Assist in the research, development and/or application of machine learning models to immunology.
  
• Work closely with students and postdoctoral researchers and other members of the lab to support the design and implementation of novel computational models.
  
• Support lab efforts to publish research findings in scientific journals and/or present research findings at relevant scientific conferences and seminars.
  
• Participate in lab activities including collaborative meetings, offering feedback to other members of the lab, literature review and preparing materials for research presentations.
  
• Performs experiments and collects and analyzes data. Participates in the promotion of a research project.
  
• Participates in the preparation and writing of grant applications and reports, and co-authors/authors scientific research manuscripts. Provides peer review of grant applications and scientific manuscripts.
  
• Collaborates on development of new research projects with academic and community-based organizations.
  
• May present work at scientific meetings.
  
• Performs other related work as needed.
  

Minimum Qualifications

Education:
Minimum requirements include a PhD in related field.
---
Work Experience:
Minimum requirements include knowledge and skills developed through ---
Certifications:

---

Preferred Qualifications

Experience:

• Demonstrated interest or experience in machine learning frameworks and libraries (e.g., PyTorch).
  

Technical Skills or Knowledge:

• Knowledgeable of programming in Python or other languages commonly used for statistical programming (e.g., R).
  

Preferred Competencies

• Familiarity with immunology concepts.
  

Working Conditions

• Office.
  

Application Documents

• Resume (required)
  
• Cover Letter (preferred)
  

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

Job Family

Research

Role Impact

Individual Contributor

FLSA Status

Exempt

Pay Frequency

Monthly

Scheduled Weekly Hours

40

Benefits Eligible

Yes

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

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.

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at:http://securityreport.uchicago.edu.Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

---