Research Associate, Data Scientist

Research Associate Position Details

Compensation: $65,000 to $70,000 annually, commensurate with experience
Position Type/

Schedule:

Full time, exempt. Monday through Friday, 8:30 a.m. to 5:00 p.m. Occasional weekend work may be required. This position is fully on site; remote work is not available.

Work Location:

Illinois Tech, Michael Paul Galvin Tower, 10 West 35th Street, Chicago, IL 60616.
Work Authorization:
Applicants must be legally authorized to work in the United States, both presently and for the duration of employment with the university.

The Center for Nutrition Research (CNR) at Illinois Tech conducts human nutrition and clinical studies to evaluate the health benefits of foods and food components across a variety of specialty areas and to substantiate health claims through scientific evidence.

The Research Associate supports CNR’s research portfolio through data analytics, statistical analysis, machine learning, and data science. Working closely with Principal Investigators and the research team, the position analyzes complex biomedical and population health data, supports grant and contract deliverables, and contributes to research related to nutrition, lifestyle, clinical characteristics, biomarkers, genetics, environmental exposures, and health outcomes.

• Apply statistical, data science, and machine learning methods to biomedical, nutrition, clinical, and population health research data.
• Prepare, analyze, validate, and interpret complex datasets, including clinical, biomarker, genomic, survey, and digital health data.
• Work with Principal Investigators and research teams to support study objectives, analytical plans, grant and contract deliverables, and related research activities.
• Contribute analyses and scientific content for reports, manuscripts, presentations, proposals, publications, and other research outputs.
• Maintain accurate research documentation and follow appropriate data management, quality control, confidentiality, and security practices.
• Complete and maintain required training, authorizations, and access requirements for secure research systems, networks, facilities, and databases.

• Ph.D. in Computational Engineering, Computer Science, Electrical Engineering, Applied Math or a related field, with experience working with nutrition, clinical, medical, or health related data and a demonstrated record of peer reviewed scientific publications.
• Experience conducting statistical, computational, or data driven analysis using large or complex datasets in a research, scientific, healthcare, biomedical, public health, or related environment.
• Proficiency with programming, data analysis, machine learning, artificial intelligence, visualization, and database tools, (e.g., Python, R, SQL, PyTorch, Tensor Flow/Keras, Pandas, Matplotlib, and Seaborn).
• Strong analytical, problem solving, organizational, and communication skills, with the ability to work independently and collaboratively with multidisciplinary research teams while maintaining confidentiality and applicable data security requirements.
• Collaborative Institutional Training Initiative (CITI) certification. Candidates who do not hold current CITI certification at the time of hire must obtain the required certification within the first five workdays of employment at no cost to the employee.

• Experience with SAS programming.

• Resume or curriculum vitae
• Cover letter

• Expected to produce accurate, timely, and scientifically sound work while maintaining appropriate standards of research integrity, confidentiality, and data security.
• The position requires effective collaboration, sound professional judgment, and the ability to manage multiple research priorities and project deadlines.

• Supervises student workers and volunteers as assigned.
• No independent budget authority.

Primarily involves work in an office, research, and computer-based environment and requires the ability to perform prolonged computer-based work and use standard…