Scientist/Senior Scientist (Genomic Analysis)

Preventive
Location
South San Francisco, CA
Job Type
Full-time
Posted
October 24, 2026

Job Description

About the role

Preventive is hiring a Scientist or Senior Scientist to lead genomic analysis across wet‑lab experimentation 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 comprehensive safety/off‑target profiling. The role spans low‑input method development, specialized library prep, and computational analysis.

Key Responsibilities

  • Characterization of edited samples: Execute plate-based single-cell/low-input NGS (e.g., Smart-seq3/Smart-seq2; plate-based scATAC/CUT&Tag; EMseq2) for genomic, epigenomic, and transcriptomic profiling of very small, heterogeneous samples where droplet methods are infeasible.
  • Computational analysis: Build and maintain reproducible analysis pipelines; perform QC, UMI handling, multi‑genome alignment, ambient RNA/doublet removal, batch correction/integration, differential analysis, trajectory/RNA velocity; support cross‑species analyses (liftover/custom references).
  • Biological interpretation: Design, defend and execute analyses of high-dimension NGS datasets to identify and validate perturbations from baseline biology; design experiments and benchmarks to compare strengths and limitations of NGS-based assays.
  • Safety / off‑target profiling: Genome‑wide assessment of edited samples via WGS (short/long‑read); call SNVs/indels/SVs/CNVs and quantify mosaicism/allele‑specific edits.
  • Experimental design & wet lab: Partner with genome‑editing teams on controls and study design; design guides/donors; perform cloning and trace‑input library prep with rigorous QC and documentation.

Qualifications

Minimum qualifications

  • BS+ and 4+ years in a relevant field (we care more about your demonstrable experience than your formal education).
  • Fluency in R or Python; experience analyzing NGS data (alignment, QC, variant calling) and building reproducible workflows.
  • Demonstrated expertise with low‑input/single‑cell assays (e.g., scRNA‑seq, epigenomic profiling, long‑read).
  • Proficiency in molecular biology (library prep, cloning, PCR/qPCR, nucleic‑acid QC) and sterile mammalian cell culture.

Preferred qualifications

  • One or more of the following:
  • - End‑to‑end off‑target discovery/validation for gene‑edited samples in preclinical studies, leading to submission to regulatory bodies
  • Single‑cell analysis beyond defaults (batch correction, trajectory/velocity, doublet/ambient handling in low‑cell‑number datasets).
  • Genome‑wide variant analysis for edited samples (SNVs/indels/SVs/CNVs; low‑VAF mosaic detection; integration‑site mapping) and epigenomic characterization.
  • Experience with very early developmental or gamete samples across species.
  • Spatial transcriptomics/epigenomics
  • Previous experience in a startup environment (comfort with fast cycles, evolving priorities, and cross‑functional collaboration).

About Preventive

Preventive is a public benefit corporation developing next‑generation reproductive‑genetics platforms to eliminate severe genetic disease at its origin. Our mission is to determine whether the newest generation of gene editing technologies can be used safely and responsibly to correct devastating genetic conditions for future children. If proven to be safe, we believe preventive gene editing could be one of the most important health technologies of the century.

Frequently Asked Questions

Where is this role located, and what is the work mode?
The job is located in South San Francisco, CA. The posting does not specify a hybrid or remote policy, so it is an on-site position at the South San Francisco location.
What qualifications do I need to apply for this position?
You need a BS+ and at least 4 years of relevant experience. Requirements include fluency in R or Python, NGS data analysis expertise, low-input or single-cell assay experience, and proficiency in molecular biology (library prep, cloning, PCR) and mammalian cell culture.
What are the main responsibilities of the Scientist/Senior Scientist role?
You will lead genomic analysis spanning wet-lab work and computational pipelines. Key duties include executing low-input/single-cell NGS experiments, building analysis pipelines, interpreting high-dimensional biological datasets, performing off-target safety profiling (WGS, variant calling), and supporting experiment/guide design.
What preferred qualifications would make my application stand out?
Preferred experience includes end-to-end off-target discovery for regulatory submissions, advanced single-cell analysis, genome-wide variant analysis for edited samples, work with early developmental/gamete samples, spatial transcriptomics/epigenomics, and prior startup experience.

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Job Information

Source: manual
AI Relevance: 92/100 (Highly relevant)
Remote Type: onsite
Skills & Tags:
preventive genomics single-cell clinical transcriptomics
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