JOBSEARCHER

Senior Bioinformatics Scientist

GlcMillbrae, CAJune 6th, 2026
🚀 Bioinformatics Engineer | South San Francisco | HybridA rapidly growing biotech company transforming DNA sequencing and genomics infrastructure is hiring a Bioinformatics Engineer to join their team in South San Francisco.The company has grown to over $80M ARR while remaining fully bootstrapped and is building production-scale genomics infrastructure used by thousands of scientists, biotech startups, Fortune 100 pharma companies, and Nobel Prize winners.💰 Compensation:• Up to $190K base salary• Competitive equity• Relocation assistance available📍 Location:Hybrid in South San Francisco (3 days onsite weekly)What You’ll Do:• Build production-grade bioinformatics pipelines processing thousands of sequencing samples daily• Develop algorithms and workflows for genomic data analysis• Work on microbial genomics, variant calling, RNA-seq, and sequencing infrastructure• Improve sequencing data quality, scalability, and automation• Collaborate closely with a high-ownership biotech engineering team🔥 Must Have:• 3+ years developing production bioinformatics pipelines• PhD in Bioinformatics, Computer Science, Biology, Biochemistry, Statistics, Physics, or related field• Experience at a fast-moving biotech startup or high-ownership environment• Strong expertise in at least one of the following:Microbial genomics / metagenomicsVariant calling / large-scale genomicsBulk or single-cell RNA-seq• Significant experience with Nextflow and/or Snakemake• Hands-on experience with Illumina or Oxford Nanopore sequencing• Strong Python, Docker, Apptainer, Git, and GitHub experience⭐ Nice to Have:• Experience building bioinformatics products, not just pipelines• Contributions to novel bioinformatics tools or algorithms• Strong ownership mentality and startup mindset⚠️ Important:• We are not looking for candidates who have worked only in academia• Candidates should have industry or startup experience building scalable production systemsThe ideal candidate enjoys high ownership, fast execution, and building impactful genomics infrastructure used in real-world scientific discovery.