TileDB
TileDB is a specialized database designed to manage and analyze complex data in scientific discovery, particularly in the fields of genomics and drug discovery. It enables organizations to unify various data types, both structured and unstructured, within a secure environment while facilitating collaboration, compliance, and efficient data analysis. With its multi-dimensional array engine, TileDB supports large-scale analysis using modern tools and techniques, making it a prime solution for research and development teams in healthcare and biotechnology.
Senior Genomics Software Engineer
March 12
TileDB
TileDB is a specialized database designed to manage and analyze complex data in scientific discovery, particularly in the fields of genomics and drug discovery. It enables organizations to unify various data types, both structured and unstructured, within a secure environment while facilitating collaboration, compliance, and efficient data analysis. With its multi-dimensional array engine, TileDB supports large-scale analysis using modern tools and techniques, making it a prime solution for research and development teams in healthcare and biotechnology.
📋 Description
• TileDB is a database designed for discovery, built by scientists to unlock innovation. • TileDB structures all data types, including non-relational databases. • Used by big pharma and biotechs to power their multiomic data platforms. • Engineering team seeks an experienced genomics software engineer for large-scale analysis.
🎯 Requirements
• 3+ years of software development experience • Strong experience with a JVM-based language (Java or Groovy preferred) • Experience with C++ and Python ideally Python FFI tools, such as pybind11 or Cython • Experience with pipeline frameworks (e.g. Nextflow, WDL, Snakemake, or similar) • Experience with the analysis of high-throughput sequencing data (e.g., quality control, mapping, variant calling) • Nice to have • Experience with systems built on at least one cloud provider (AWS preferred) • Familiar with htslib and common data formats for genomics data (e.g., FASTQ, SAM/BAM/CRAM, GTF/GFF/GFF3, VCF/BCF, BED) • Experience with toolkits or file formats related to single-cell biology (e.g.: AnnData, Seurat). • Experience with any of R, Go, or Rust
🏖️ Benefits
• Competitive salary (depending on location and experience) • Stock options in Series B company ($34m fund raise in Oct. 2023) • 100% medical and dental coverage for employee and any dependents • Paid time off (vacation, sick, and public holidays) • Flexible time off and flexible work hours
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