The University of Chicago

Department

BSD NSU - Research

About the Department

Neurosurgeons at UChicago Medicine are devoted to patient care, research, and teaching. These experts in the Department of Neurological Surgery offer the full spectrum of neurosurgical services for children and adults with brain diseases including aggressive brain tumors, back and spine degenerative diseases, epilepsy, Parkinson’s disease, and stroke. Our surgeons are truly at the forefront of neurosurgical care, utilizing the most advanced and sophisticated technologies and techniques to treat diseases of the brain and spine. Our expertise goes beyond that of delivering the best medical care; research is an integral part of our mission. With significant funding from the NIH in both bench and translational research, our staff and faculty are actively investigating complex conditions that affect the central nervous system, including cancer stem cell theory and aggressive brain cancers as well as the mechanisms behind cerebrovascular anomalies. This work serves as the groundwork for many new applications in neurosurgery, which will benefit patients for many years to come.

Job Summary

The job provides professional support and solves problems in collecting, organizing, and analyzing information from the University's various internal data systems as well as from external sources. The job performs data analysis assignments related to data manipulation, statistical applications, programming, analysis and modeling in order to support projects for the Department of Neurological Surgery.

Responsibilities

• Supports trainees and interns with database handling and statistics generation in our neuro informatics laboratory.
• Produces quarterly outcomes reports for multiple registries using Python.
• Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
• Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
• Cleans, transforms, merges, and matches between large and complex research and administrative datasets. Plans own resources to collect, organize, and analyze information from the University's various internal data systems as well as from external sources.
• Builds and analyzes statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Serves as a single point of contact for all requests and engages other IT resources to assist as needed. May partner with other campus teams to assist faculty with data science related needs.
• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.

Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Certifications:

• 
  

Preferred Qualifications 

Education:

• Advanced degree in Computer Science, Statistics, or Mathematics.

Experience:

• Prior experience working in Neuro-Informatics at an academic medical center.

Technical Skills or Knowledge:

• Experience developing and implementing machine learning solutions for real world use.
• Familiarity handling terabyte size datasets.
• Proficiency in Python.

Preferred Competencies

• Ability to handle multiple tasks and assignments simultaneously.
• Problem-solving skills, including a strong ability to prioritize and collaborate.
• Excellent verbal and written communication skills.
• Proven ability to establish and stick to timelines.
• Excellent organizational skills, including strong attention to detail.
• Knowledge of university and research-related regulatory policies and procedures, including IRB procedures.
• Ability to train others.

Application Documents

• Resume/CV (required)
• Cover Letter (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

Research

Role Impact

Individual Contributor

Scheduled Weekly Hours

40

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Rate Type

Salary

FLSA Status

Exempt

Pay Range

$70,000.00 - $100,000.00

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

Yes

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.

In addition to the base pay posted above, this position may be eligible for N/A

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.

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.

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.

Read Full Description