Post Doctoral Fellow, Zhang Lab

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
• Research Support
• Scheduled Weekly Hours: 40
• 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.