Position Details
Position Details
Job Title |
RESEARCH ASST III |
Position Number |
8350126 |
Job Category |
University Staff |
Job Type |
Part-Time |
FLSA Status |
Exempt |
Campus |
Maywood-Health Sciences Campus |
Department Name |
HEALTH INFORMATICS & DATA SCI |
Location Code |
HEALTH INFORMATICS & DATA SCI |
Is this split and/or fully grant funded? |
Yes |
Duties and Responsibilities |
Data Analysis and Modeling Responsibilities
- Research projects by implementing machine learning models using Python, R, and other statistical tools to analyze large epidemiological datasets and generate predictive insights.
- Carry out experiments as instructed by Principal Investigator (PI).
- Assists PI, Research Staff, and Students with various procedures and projects. Performance of experiments requires familiarity with basic methods in data wrangling and analysis.
- Generate reports on analysis.
- Organizes, curates, and updates databases of the acquired information and the corresponding analyses.
- Maintains orderly records.
- Maintains a safe and orderly working environment.
- Ensures compliance with safety regulations.
- Performs other duties as assigned.
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Minimum Education and/or Work Experience |
Education/Experience:
- Required: Bachelor's Degree in Epidemiology, Biostatistics, Statistics, Data Science, or a related field.
- Preferred: Master's Degree in Epidemiology, Biostatistics, Statistics, Data Science, or a related field.
Experience:
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Qualifications |
- Strong programming skills in Python and R, with experience using libraries such as NumPy, Pandas, Scikit-learn
- Proficiency in statistical analysis and machine learning techniques
- Experience with data visualization tools (e.g., Tableau, PowerBI, ggplot2)
- Knowledge of SQL and database management
- Excellent problem-solving and analytical thinking skills
- Strong written and verbal communication abilities
- Ability to communicate technical results in a non-technical manner to reach a broader audience
- Dedicated team player
- Self-driven and ability to work with ambiguity
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Certificates/Credentials/Licenses |
Bachelor's or Master's degree in Epidemiology, Biostatistics, Statistics or Data Science, and related disciplines
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Computer Skills |
Technical Skills
- Programming Languages: Python, R
- Machine Learning Libraries: Scikit-learn, TensorFlow, PyTorch
- Data Visualization: Matplotlib, Seaborn, ggplot2, Tableau
- Version Control: Git
- Database Systems: MySQL, PostgreSQL
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Supervisory Responsibilities |
No |
Required operation of university owned vehicles |
No |
Does this position require direct animal or patient contact? |
No |
Physical Demands |
None |
Working Conditions |
None |
Open Date |
04/08/2025 |
Close Date |
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Position Maximum Salary or Hourly Rate |
$25/hr |
Position Minimum Salary or Hourly Rate |
$24.04/hr |
Special Instructions to Applicants |
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About Loyola University Chicago |
Founded in 1870, Loyola University Chicago is one of the nation's largest Jesuit, Catholic universities, recognized for its academic excellence, commitment to community engagement, and leadership in sustainability. A Carnegie R1 research institution, Loyola leverages its status as one of an elite group of universities with the highest level of research activity to advance knowledge that serves communities and creates global impact. With
15 schools, colleges, and institutes-including Business, Law, Medicine, Nursing, and Health Sciences-Loyola operates three primary campuses in the greater Chicago area and one in Rome, Italy, that provide students a transformative, globally connected learning experience. Consistently ranked among the nation's top universities by U.S. News & World Report, Loyola is a
STARS Gold-rated institution that is ranked as one of the country's most sustainable campuses by The Princeton Review and has earned distinctions from AmeriCorps and the Carnegie Foundation for its longstanding record of service and community engagement. Guided by its Jesuit mission and commitment to caring for the whole person, Loyola educates ethical leaders who think critically, act with purpose, and strive to create a more just and sustainable world.
Loyola University Chicago strives to be an employer of choice by offering its staff and faculty a wide array of affordable, comprehensive, and competitive benefits. To view our benefits in detail,
click here.
Loyola adheres to all applicable federal, state, and/or local civil rights laws and regulations prohibiting discrimination in private institutions of higher education. Please see the University's
Nondiscrimination Policy. |
Quick Link for Posting |
https://www.careers.luc.edu/postings/32622 |
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