Molecular Genomics Scientist – AI-Driven Lab

UW Medicine; Seattle (WA); On-site; USD 69,000 - 114,000; Full time

Job summary

UW Medicine's Department of Genome Sciences seeks a Research Scientist/Engineer 2 for SeaHub in Seattle to contribute to cutting-edge synthetic biology research and AI-driven genome projects. The role centers on molecular biology, mammalian cell culture, DNA sequencing, and data analysis in a collaborative lab setting.

The successful candidate will develop protocols, construct sequencing libraries, analyze data, and contribute to publications and grant proposals in a dynamic Seattle hub for

Qualifications

• Bachelor’s degree in biology, molecular biology, genetics, or related field and two years of relevant lab experience.
• Experience with mammalian tissue culture in a BSL-2 environment.
• Experience with DNA sequencing library construction (RNA-seq or ChIP-seq) is desirable.
• Experience with Python, R, or similar programming language.
• Demonstrated commitment to building an inclusive working and learning environment.

Responsibilities

• Develop and perform routine molecular and cellular protocols and biological tasks such as mammalian stem cell tissue culture in a BSL-2 environment and nucleic acid amplification.
• Conduct an independent research project and/or advance an existing project through hands-on molecular biology work and DNA sequencing, including constructing sequencing libraries.
• Analyze data and prepare figures, slides, and assist with publications and grant proposals.
• Assist with lab organization and upkeep.

Skills

Molecular biology

Tissue culture

Data analysis

Python

R

Laboratory automation

Education

Bachelor's degree in biology, molecular biology, genetics, or related field

Tools

Python

R

Laboratory automation

Job description

UW Medicine's Department of Genome Sciences seeks a Research Scientist/Engineer 2 for SeaHub in Seattle to contribute to cutting-edge synthetic biology research and AI-driven genome projects. The role centers on molecular biology, mammalian cell culture, DNA sequencing, and data analysis in a collaborative lab setting.

The successful candidate will develop protocols, construct sequencing libraries, analyze data, and contribute to publications and grant proposals in a dynamic Seattle hub for