Scientist/Senior Scientist (Genomic Analysis) at STRADIGI CONSULTING

South San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Genomic Analysis, NGS Experiments, Computational Analysis, Molecular Biology, Library Prep, Cloning, PCR/qPCR, Cell Culture, R, Python, Single-Cell Assays, Variant Calling, Safety Profiling, Epigenomic Characterization, Experimental Design, Data Analysis

Industry

Biotechnology Research

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 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 low‑input NGS (scRNA‑seq/snRNA‑seq, ATAC/scATAC, methylation/WGBS or ONT CpG, long‑read sequencing) on very small, heterogeneous populations. 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). 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+ in a relevant field (we care more about your experience than your formal education); 2+ years biotech experience. 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 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).

Responsibilities

The Scientist/Senior Scientist will lead genomic analysis through wet-lab experimentation and computational pipelines, focusing on ultra-low-input NGS experiments. Responsibilities include safety profiling, characterization of edited samples, and computational analysis.