Epidemiologist

Job Title

Epidemiologist

Position Number: 8151028
Job Category:
University Staff
Job Type: Full-Time (Exempt)
Campus:
Maywood Health Sciences Campus

Location:

Public Health Sciences (06250A)

Minimum: $80,000/ann
Maximum: $90,000/ann

• Collaborate with the PI and research team to design and conduct epidemiological studies.
• Perform statistical analyses using advanced methodologies to interpret complex public health data.
• Ensure accurate data management and representation.
• Assist in preparation of grants and progress reports.
• Collaborate on manuscript writing, reviewing, editing, and preparation of presentations.
• Work closely with the PI and multidisciplinary team members to achieve research objectives.
• Provide support and mentorship to junior researchers and graduate students.
• Manage and lead analysis of complex datasets, including survey and ecological data, using SAS and R.
• Oversee data management processes to ensure accuracy and integrity of datasets.
• Identify, analyze, and interpret trends or patterns in large datasets to generate actionable insights.

• PhD degree in epidemiology, biostatistics, statistics, or a related field.
• Minimum of 2 years of experience in biostatistics and/or epidemiology.

• Demonstrable experience in data analysis and interpretation with proficiency in SAS and R.
• Experience with electronic health record (EHR) data analysis is a plus.
• Strong communication skills, both written and spoken, with ability to follow instructions, complete tasks on time, and handle confidential information.
• Aptitude for manuscript and grant writing.
• Exceptional problem‑solving skills and attention to detail.
• Proven ability to work independently, manage time efficiently, and collaborate in a diverse team.
• Experience in mentoring junior researchers and students is a plus.
• Strong interpersonal skills and ability to interact effectively with internal and external stakeholders.
• Ability to plan and coordinate multiple projects, and compile comprehensive reports and presentations.

• Advanced proficiency in SAS, R, STATA, and/or SPSS.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
• Familiarity with data management tools and applications.

None

Loyola University Chicago adheres to all applicable federal, state, and local civil rights laws and regulations prohibiting discrimination in private institutions of higher education.