Scientist II, Cell Therapy & Genome Engineering

dawarconsulting; South San Francisco (CA); On-site; USD 83,000 - 90,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Paid Sick Leave

401K

Job summary

Our client, a world leader in biotechnology and life sciences, is seeking a Scientist II (Cell Therapy / Genome Engineering) to support cell therapy development and disease-modeling programs. Location: South San Francisco, CA.

This long-term contract role features a competitive pay rate and comprehensive benefits. The successful candidate will engineer mammalian cells using CRISPR and viral systems, optimize gene-editing workflows, and characterize engineered cells with molecular and genomic

Qualifications

• BS or MS with 5 years industry experience or PhD in Molecular Biology, Cell Biology, Genetics, or related field.
• Strong hands-on mammalian cell culture experience.
• Experience with primary T cells and iPSCs (preferred).

Responsibilities

• Engineer mammalian cells (cancer cell lines, iPSCs, primary cells) using lentiviral/piggyBac systems and CRISPR gene editing.
• Optimize transfection and gene-editing workflows.
• Troubleshoot and refine cell engineering protocols.
• Characterize engineered cells using molecular and genomic assays.
• Maintain, monitor, and quality-check cell lines in culture.

Skills

Mammalian cell culture

CRISPR gene editing

Molecular biology

Cell-based assays

Education

BS/MS + 5 years industry experience or PhD in Molecular Biology, Cell Biology, Genetics, or related field

Tools

Benchling

SnapGene

FlowJo

GraphPad Prism

Job description

Our client, a world leader in biotechnology and life sciences, is seeking a Scientist II (Cell Therapy / Genome Engineering) to support cell therapy development and disease-modeling programs. Location: South San Francisco, CA.

This long-term contract role features a competitive pay rate and comprehensive benefits. The successful candidate will engineer mammalian cells using CRISPR and viral systems, optimize gene-editing workflows, and characterize engineered cells with molecular and genomic