Seeking a skilled scientist to design, execute, and analyze cell-based assays and high-throughput screening workflows, contributing to the advancement of genomic engineering platforms and programs. This role requires strong technical expertise, data analysis skills, and the ability to collaborate within cross-functional teams.
Responsibilities:
- Design and implement cell-based assays and screening workflows to support platform and program goals, both independently and collaboratively.
- Develop and execute high-throughput arrayed and pooled screening campaigns with a focus on rigor and reproducibility.
- Troubleshoot experimental protocols, analyze data, and convert findings into actionable scientific insights.
- Maintain comprehensive laboratory records and effectively communicate results to scientific colleagues.
- Collaborate with cross-functional teams to facilitate the progression of optimized candidates into further development stages.
- Utilize gene editing technologies, such as CRISPR nucleases, recombinases, base editors, or transcriptional effectors, in experimental workflows.
- Apply laboratory automation platforms and nucleic acid quality control methods, including TapeStation, Qubit, NanoDrop, and qPCR.
- Manage complex datasets, prioritize overlapping projects, and present technical information clearly to diverse audiences.
Qualifications:
- Bachelor’s degree in cell biology, molecular biology, or a related field with 5+ years of relevant experience, or a Master’s degree with 3+ years of experience.
- Experience in high-throughput cell-based screening, preferably with primary T cells, hepatocytes, and cancer cell lines.
- Hands-on expertise with gene editing technologies (CRISPR nucleases, recombinases, base editors, or transcriptional effectors).
- Familiarity with laboratory automation platforms for cell-based screening workflows.
- Proficiency in nucleic acid QC methods such as TapeStation, Qubit, NanoDrop, and qPCR.
- Demonstrated ability to independently generate precise, reproducible data and conduct rigorous quantitative analysis.
- Strong organizational skills for managing complex datasets and multiple projects.
- Excellent written and verbal communication skills, with the ability to present complex technical information clearly.