Post Doc Res Assoc w/Ret
The Bosch Lab at the University of Utah (https://www.boschlab.com/) invites applications for a computational post-doctoral position to support projects related to biomolecular interaction prediction using AI tools. The lab studies organ-organ communication with the aim of discovering and studying proteins in blood circulation to understand their origin, destination, and function. In addition to experimental wet-lab work, the lab develops software tools for identifying novel hormones and receptors by running AI models (e.g., AlphaFold) on large-scale high-performance data centers.
About the role
The post-doctoral researcher will maintain and expand software tools of broad use to the scientific community, conducting research under the guidance of the supervisor(s).
Responsibilities
- Conducts lab research under the guidance of the supervisor(s).
- Participates in lab meetings, shares research findings, and engages in discussion.
- Reviews scientific publications, protocols, and general knowledge via internet searching to prepare for and troubleshoot research, as well as to enhance overall understanding of the research and techniques.
Requirements
- PhD in biology, computer science, or a related field.
- Experience with the command-line (e.g., Linux) and programming (e.g., Python).
Qualifications
- A late-stage PhD student or recent PhD graduate.
- Demonstrated publication and funding record during PhD work.
- Demonstrated skills in written and verbal communication (e.g., keeping a lab notebook, email correspondence, slide presentations).
- Experience running jobs on high-performance data centers (e.g., SLURM).
- Experience using AI protein structure models (e.g., AlphaFold).
Pay
$60k–$80k
Schedule
Full Time
Requisition Number: PRN45342B