Senior Scientist, Genomic & Epigenetic Analysis

Preventive Medicine; South San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Preventive is seeking a Scientist/Senior Scientist to lead genomic analysis across wet-lab experiments and computational pipelines. You will design, execute, and analyze ultra-low-input NGS experiments from heterogeneous, multi-species samples with emphasis on epigenetic characterization and safety/off-target profiling.

Responsibilities include developing reproducible analysis pipelines, performing QC and trajectory analyses, and collaborating with genome-editing teams on study design and

Qualifications

• BS+ and 4+ years in a relevant field.
• Fluency in R or Python; experience analyzing NGS data and building reproducible workflows.
• Proficiency in library prep, cloning, PCR/qPCR and nucleic-acid QC; sterile mammalian cell culture.

Responsibilities

• Characterization of edited samples: plate-based single-cell/low-input NGS for genomic, epigenomic, and transcriptomic profiling.
• Computational analysis: build/maintain reproducible pipelines, QC, UMI handling, multi-genome alignment, batch correction, differential analysis.
• Biological interpretation: analyze high-dimensional NGS data to identify perturbations and benchmarks.
• Safety/off-target profiling: genome-wide WGS calls for SNVs/indels/SVs/CNVs and mosaicism quantification.
• Collaborate with genome-editing teams on controls, study design, and trace-input library prep.

Skills

NGS analysis

Molecular biology

Cell culture

R or Python

Education

BS or higher

Tools

R

Python

Job description

Preventive is seeking a Scientist/Senior Scientist to lead genomic analysis across wet-lab experiments and computational pipelines. You will design, execute, and analyze ultra-low-input NGS experiments from heterogeneous, multi-species samples with emphasis on epigenetic characterization and safety/off-target profiling.

Responsibilities include developing reproducible analysis pipelines, performing QC and trajectory analyses, and collaborating with genome-editing teams on study design and