Biochemistry Lab Manager — Genomics & Data Insights

University at Buffalo; Town of Amherst (NY); On-site; USD 45,000 - 65,000; Full time

Job summary

University at Buffalo is seeking a Laboratory Manager, Biochemistry to lead and manage a genomics lab in the Biochemistry Department. The role combines hands-on bench work with laboratory administration under the supervision of Dr. William K.M.

Lai and mentoring of undergraduates and graduate researchers. The candidate will oversee operational health of the lab, coordinate sequencing library preparation and data analysis workflows and contribute to method development for high-throughput assays.

Qualifications

• Master's degree in molecular biology, genetics, biochemistry, genomics, computational biology or a related field and two years of full-time research experience; OR Bachelor's degree in one of the above fields and four years of full-time research experience.

Responsibilities

• Own the operational health of the lab and train/mentor undergraduate and graduate researchers at the bench.
• Lead day-to-day management of a genomics lab studying chromatin organization and protein–DNA interactions.
• Perform bench research and contribute to computational method development for interpreting genomic sequencing data at scale.
• Oversee purchasing, equipment maintenance and safety compliance for the lab.

Skills

NGS library prep

Genomic data analysis

Python

R

Unix command line

Education

Master's degree in molecular biology/genetics/biochemistry/genomics/computational biology or related field

Bachelor's degree in one of the above fields

Job description

University at Buffalo is seeking a Laboratory Manager, Biochemistry to lead and manage a genomics lab in the Biochemistry Department. The role combines hands-on bench work with laboratory administration under the supervision of Dr. William K.M.

Lai and mentoring of undergraduates and graduate researchers. The candidate will oversee operational health of the lab, coordinate sequencing library preparation and data analysis workflows and contribute to method development for high-throughput assays.