About the rolePreventive 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.
QualificationsMinimum 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).
