Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.

The Zhang lab seeks to hire a postdoctoral fellow whose duties will include:

• Conducting independent research in bioinformatics, comparative genomics, structural analysis, and machine learning;
• Preparing manuscripts and grant proposals and contributing to securing external research funding;
• Mentoring graduate and undergraduate students and contributing to a collaborative research environment;
• Presenting research findings at national and international scientific conferences and publishing in leading peer-reviewed journals.

Required Knowledge, Skills, and Abilities

• Demonstrated expertise in one or more of the following areas: protein bioinformatics, comparative genomics, evolutionary biology, machine learning, or structural bioinformatics
• Strong programming skills in Python and proficiency in Unix/Linux environments
• Demonstrated record of publications in peer-reviewed journals
• Excellent written and verbal communication skills
• Ability to work both independently and collaboratively within an interdisciplinary research team

Minimum Qualifications

Ph.D. in Bioinformatics, Computational Biology, Biology, Computer Science, or a closely related field with computational training

Function

Scheduled Weekly Hours:

Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.