Postdoctoral Scientist: Structural Enzymology & Biosynthesis

Instruct-ERIC; Buffalo (NY); Vor Ort; USD 60.000 - 75.000; Vollzeit

Zusammenfassung

The State University of New York at Buffalo invites applications for a postdoctoral research associate in the Gulick Lab to study structural enzymology of bacterial natural product biosynthesis. The successful candidate will contribute to protein production, biochemical assay development, and structure determination using crystallography and cryo-EM.

Work spans informatics, genome mining, and data interpretation with opportunities for authorship and dissemination of results in high-profile

Qualifikationen

• PhD in Biochemistry, Chemistry, or related field.
• Background in protein biochemistry, enzymology, biophysical analysis, or structural biology.
• Ability to analyze, publish, and present research data.
• Self-motivation, ability to work independently and collaboratively as a team, with good time management.

Aufgaben

• Protein production, purification, and analysis, including development and implementation of biochemical assays.
• Informatic and genome mining to identify, characterize biosynthetic pathways.
• Protein structure determination through X-ray crystallography and/or cryo-EM and single particle analysis.
• Data analysis, maintenance, and interpretation, including contributions to publications and dissemination of research.

Kenntnisse

Protein biochemistry

Enzymology

Biophysical analysis

Structural biology

Data analysis

Publications/presentations

Ausbildung

PhD in Biochemistry, Chemistry, or related field

Tools

LC-MS

HPLC

X-ray crystallography

Cryo-EM

Computation tools

Jobbeschreibung

The State University of New York at Buffalo invites applications for a postdoctoral research associate in the Gulick Lab to study structural enzymology of bacterial natural product biosynthesis. The successful candidate will contribute to protein production, biochemical assay development, and structure determination using crystallography and cryo-EM.

Work spans informatics, genome mining, and data interpretation with opportunities for authorship and dissemination of results in high-profile