Postdoctoral Fellow: Bioinformatics & Genomics Research

slu; United States; On-site; USD 55,000 - 65,000; Full time

Job summary

Saint Louis University invites applications for a postdoctoral fellow in the Zhang lab to conduct independent research in bioinformatics, comparative genomics, structural analysis, and machine learning. The successful candidate will prepare manuscripts, contribute to grant proposals, and mentor students.

Qualifications include a Ph.D. in a closely related field with computational training, strong Python and Unix/Linux skills, and a proven publication record.

Qualifications

• Demonstrated expertise in protein bioinformatics, comparative genomics, evolutionary biology, ML, or structural bioinformatics.
• Strong programming skills in Python and Unix/Linux environments.
• Record of publications in peer-reviewed journals.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively in an interdisciplinary team.

Responsibilities

• Conducting independent research in bioinformatics, comparative genomics, structural analysis, and ML.
• Preparing manuscripts and grant proposals; contributing to securing external funding.
• Mentoring graduate and undergraduate students; fostering collaborative research.
• Presenting findings at conferences and publishing in peer-reviewed journals.

Skills

protein bioinformatics

comparative genomics

evolutionary biology

machine learning

structural bioinformatics

Python programming

Unix/Linux

peer-reviewed publications

communication skills

collaborative team work

Education

Ph.D. in Bioinformatics / Computational Biology / Biology / Computer Science (or closely related field)

Job description

Saint Louis University invites applications for a postdoctoral fellow in the Zhang lab to conduct independent research in bioinformatics, comparative genomics, structural analysis, and machine learning. The successful candidate will prepare manuscripts, contribute to grant proposals, and mentor students.

Qualifications include a Ph.D. in a closely related field with computational training, strong Python and Unix/Linux skills, and a proven publication record.