Preventive
Scientist/Senior Scientist (Genomic Analysis)
Preventive, San Francisco, California, United States, 94199
Scientist/Senior Scientist (Genomic Analysis)
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Scientist/Senior Scientist (Genomic Analysis)
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Preventive
Preventive Medicine 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.
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
Safety / off‑target profiling:
Genome‑wide assessment of edited samples via WGS (short/long‑read), targeted capture, and GUIDE‑seq/CIRCLE‑seq/CHANGE‑seq derivatives with orthogonal validation; call SNVs/indels/SVs/CNVs and quantify mosaicism/allele‑specific edits.
Characterization of edited samples:
Execute plate‑based single‑cell NGS (e.g., Smart‑seq3/Smart‑seq2; plate‑based scATAC/CUT&Tag) for genomic, epigenomic, and transcriptomic profiling of very small, heterogeneous samples where droplet methods are infeasible.
Computational analysis:
Build and maintain reproducible pipelines (Nextflow/Snakemake, containers); 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).
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
BS+ in a relevant field; 2+ years biotech experience.
Fluency in R or Python; experience analyzing NGS data (alignment, QC, variant calling) and building reproducible workflows (Git, containers).
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
Previous experience in a startup environment (comfort with fast cycles, evolving priorities, and cross‑functional collaboration).
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; cloud/HPC.
Seniority level
Entry level
Employment type
Full‑time
Job function
Research, Analyst, and Information Technology
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Scientist/Senior Scientist (Genomic Analysis)
role at
Preventive
Preventive Medicine 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.
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
Safety / off‑target profiling:
Genome‑wide assessment of edited samples via WGS (short/long‑read), targeted capture, and GUIDE‑seq/CIRCLE‑seq/CHANGE‑seq derivatives with orthogonal validation; call SNVs/indels/SVs/CNVs and quantify mosaicism/allele‑specific edits.
Characterization of edited samples:
Execute plate‑based single‑cell NGS (e.g., Smart‑seq3/Smart‑seq2; plate‑based scATAC/CUT&Tag) for genomic, epigenomic, and transcriptomic profiling of very small, heterogeneous samples where droplet methods are infeasible.
Computational analysis:
Build and maintain reproducible pipelines (Nextflow/Snakemake, containers); 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).
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
BS+ in a relevant field; 2+ years biotech experience.
Fluency in R or Python; experience analyzing NGS data (alignment, QC, variant calling) and building reproducible workflows (Git, containers).
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
Previous experience in a startup environment (comfort with fast cycles, evolving priorities, and cross‑functional collaboration).
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; cloud/HPC.
Seniority level
Entry level
Employment type
Full‑time
Job function
Research, Analyst, and Information Technology
Referrals increase your chances of interviewing at Preventive by 2x
Get notified about new Senior Scientist jobs in
San Francisco Bay Area .
#J-18808-Ljbffr