Department
About the Department
Led by Professor Rick Stevens from the Department of Computer Science, our project focuses on constructing a comprehensive knowledge base of data and AI models crucial for vaccine development against emerging viruses. Researchers with diverse backgrounds from UChicago and Argonne National Laboratory will be partnering with cross-institution collaborators at Houston Methodist, UT Austin, UTMB, JCVI, and LJI.
Job Summary
Responsibilities
Leads bioinformatic viral genomic analysis and research, including assembly, annotation, data mining, and metadata curation.Conducts phylogenomics and structural biology research independently and presents findings to the team and research community.Developing AI models to predict metadata and experimental outcomes.Presents research findings at conferences, seminars, and scientific journals.Collaborates closely with internal and external stakeholders to drive innovation in the field.Serves as a resource for collecting data and performing analysis. Facilitates and promotes a research project by providing scientific or intellectual information.Develops laboratory protocols and training on new techniques. Manage, analyze and make recommendations on complex data sets for research.Creates first drafts for scientific writing and publications, including protocols and grants.Trains and mentors laboratory personnel.Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a PhD in related field.---
Work Experience:
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Certifications:
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Preferred Qualifications
Education:
PhD degree in bioinformatics, computational biology, computer science, or biology.
Experience:
Expertise in bioinformatics and AI techniques to tackle research challenges in virology and vaccine development.
Strong background in virology or viral bioinformatics.
Experience with next-generation sequencing (NGS) data analysis workflows.
Technical Skills or Knowledge:
Proficiency in bioinformatics analysis techniques and tools.
Familiarity with computational algorithms for DNA sequence alignment and polymorphism detection.
Fluency in Python, with experience in Perl recommended.
Familiarity with Unix command line environment.
Familiarity with AI based techniques is preferred.
Preferred Competencies
Excellent analytical, problem-solving, and communication skills.
Ability to work both independently and collaboratively in a team environment.
Application Documents
Resume/CV (required)
Cover Letter (required)
References Contact Information (3)(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
Role Impact
FLSA Status
Pay Frequency
Scheduled Weekly Hours
Benefits Eligible
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
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