Assistant Professor of Computational Biology & NGS

Utah Tech University; St. George (VT); In loco; USD 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

Utah Tech University invites applications for a full-time, tenure-track Assistant Professor position in Computational Biology, with a primary focus on Next-Generation Sequencing (NGS) algorithms and their pedagogical application at both the undergraduate and graduate levels.

This role supports the department's expanding programs in bioinformatics and genomics, teaching in the B.S. Bioinformatics and M.S. Genomics with a Bioinformatics emphasis and mentoring students in NGS workflows.

Competenze

• PhD in Computational Biology, Bioinformatics, Genomics, CS with bio focus or closely related field.
• Proven expertise in NGS algorithms and high-throughput data analysis with scripting experience.
• Experience teaching NGS and computational biology to diverse student groups.
• Ability to design innovative curriculum using active/project-based learning.

Mansioni

• Teach 24 credit hours annually across undergrad/grad levels in NGS and related topics.
• Deliver courses on NGS platforms, read alignment, variant calling, and genomics.
• Mentor master’s students and supervise undergraduate research in computational biology.
• Contribute to curriculum development and interdisciplinary program growth.
• Participate in service duties and outreach within the college community.

Conoscenze

NGS algorithms

Bioinformatics

Python

R

Bash scripting

Curriculum design

Formazione

PhD in Computational Biology or related

Strumenti

Snakemake

Nextflow

HPC

Descrizione del lavoro

Utah Tech University invites applications for a full-time, tenure-track Assistant Professor position in Computational Biology, with a primary focus on Next-Generation Sequencing (NGS) algorithms and their pedagogical application at both the undergraduate and graduate levels.

This role supports the department's expanding programs in bioinformatics and genomics, teaching in the B.S. Bioinformatics and M.S. Genomics with a Bioinformatics emphasis and mentoring students in NGS workflows.