Data Scientist

Loyola University Of Chicago

403(b)

United States, Illinois, Maywood

Feb 04, 2025

Position Details

Job Title	Data Scientist
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	Background The goal of the Urban Malaria Lab at Loyola University Chicago is to develop methodologies and tools to inform optimal and appropriate urban malaria intervention allocation to maximize impact . We analyze field, trial, and routine health system data; build statistical and machine learning models aimed at improving understanding of disease dynamics, informing effective public health campaigns, and guiding rational development of new public-health interventions. The Data Scientist will leverage advanced data science techniques to analyze complex survey data, develop predictive models, lead writing of publications, and present at conferences and scientific meetings. Responsibilities *Data Analysis and Modeling* Design and implement machine learning models using Python, R, and other statistical tools to analyze large epidemiological datasets and generate predictive insights. Develop and maintain data pipelines for efficient data collection, cleaning, and preprocessing of survey data (e.g., Demographic and Health Survey, Malaria Indicator Survey). Create interactive visualizations and dashboards to communicate findings to stakeholders. Conduct quality assurance of existing analysis and identify areas for further investigation Perform statistical analysis to identify trends, patterns, and relationships in complex. datasets. Build and optimize data structures for improved processing and analysis efficiency. *Research and Communication* Lead end-to-end data science projects from problem definition to solution implementation. Present findings at team meetings, conferences, and scientific meetings. Conduct literature reviews and critique research proposals. Suggest appropriate alternative methods and/or research techniques. Document methodologies, findings, and technical specifications for knowledge sharing and reproducibility. Collaborate with cross-functional teams to understand research requirements and translate them into analytical solutions. Alignment with Team Strategy This role aligns with Urban Malaria Lab Objective 1: through participatory processes, generate evidence on malaria burden and determinants in cities. And Objective 4: transfer technology and disseminate knowledge developed in the course of our work to local communities. Objective 1 indicators of achievement: Number of journal articles produced that describe the burden of malaria and drivers in Nigerian cities. Number of citations of research work overtime. Number of articles produced that generalizes information beyond the study areas. Conference presentation and symposia on study findings. Development and implementation of predictive models for disease dynamics. Objective 4 indicators of achievement: Number of partners trainings conducted. Number of events where technology developed in the course of our work is disseminated. Number of sensitizations on research work carried out in communities. Requirements Bachelor's Degree or Master's degree in Epidemiology, Biostatistics, Statistics or Data Science, and related disciplines. 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. 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.
Minimum Education and/or Work 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.
Qualifications
Certificates/Credentials/Licenses	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.
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
Supervisory Responsibilities	No
Required operation of university owned vehicles	No
Does this position require direct animal or patient contact?
Physical Demands	None
Working Conditions	None
Open Date	02/04/2025
Close Date
Position Maximum Salary or Hourly Rate	$40.87/hr
Position Minimum Salary or Hourly Rate	$36.06/hr
Special Instructions to Applicants
About Loyola University Chicago	Loyola University Chicago is a private Jesuit University founded in 1870 by the Society of Jesus. One of the largest Catholic Universities in the United States, Loyola's professional schools include programs in medicine, nursing, and health sciences anchored by the Loyola University Medical Center, and the Loyola University Chicago School of Law. Comprised of thirteen colleges and schools, Loyola University Chicago offers more than 80 undergraduate and 140 graduate/professional programs while enrolling approximately 17,000 students. In addition to offering a world class educational experience, 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. Our benefits are centered on health and wellness, financial security, equity, and work-life balance. We offer medical, dental, vision, 403(b), HSA, FSAs, tuition benefit, pre-tax transit benefits, EAP, and more. To view our benefits in detail, click here. As one of the nation's largest Jesuit, Catholic Universities, Loyola University Chicago fosters a transformative cultural experience that honors Diversity, Equity, and Inclusion. We are committed to recruiting and retaining a diverse, mission driven workforce that enables a culture of inclusivity. We act with the heart of a nonprofit organization and an academic enterprise with ethical practices that advance the Jesuit Mission. Loyola actively seeks to build a community of diverse opinions, perspectives, and backgrounds that support our Jesuit tradition, while helping Ramblers foster a sense of belonging and affinity for all. Loyola University Chicago is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion (except where religion is a bona fide occupational qualification for the job), national origin, sex, age, disability, marital status, sexual orientation, gender identity, protected veteran status or any other factor protected by law.
Quick Link for Posting	https://www.careers.luc.edu/postings/30988