Senior Bioinformatics Analyst

April 3

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DNAstack

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DNAstack is a technology company that provides a software platform, Omics AI, designed to connect, protect, and enable AI-powered discoveries across federated networks of omics and health data. Their software suite allows data custodians and researchers to share and analyze omics data while complying with international privacy standards and open industry standards by the Global Alliance for Genomics & Health. DNAstack's tools facilitate the development of federated data networks that promote collaborative research in areas like infectious diseases, neuroscience, and genomics. The platform emphasizes privacy, security, and interoperability by design.

genomics • bioinformatics • cloud • big data

11 - 50 employees

Founded 2013

🤖 Artificial Intelligence

🧬 Biotechnology

⚕️ Healthcare Insurance

💰 Pre Seed Round on 2019-01

📋 Description

• Collaborate with partners in academia and industry to develop pipelines that process and harmonize a wide variety of genomics datasets. • Design and build reproducible, scalable, and well-documented pipelines using WDL, Docker, and cloud-based infrastructure (e.g. GCP, AWS, Azure). • Evaluate, compare, and validate analysis methods using best-in-class tools (e.g., GATK, bcftools, samtools, VEP, etc.). • Build automations to support customers and internal teams in ingesting and processing data. • Support workflows handling a variety of -omics data types (e.g., WGS, WES, RNA-seq, methylation, tumour/normal, proteomics, etc.). • Communicate complex bioinformatics results and methodologies clearly to technical and non-technical stakeholders. • Contribute scientific expertise to product development and strategy. • Stay current with new methods and standards in genomics and participate in open-source initiatives.

🎯 Requirements

• Master’s degree or PhD in bioinformatics, computational biology, biostatistics, or a related field—or equivalent industry experience. • 4+ years of hands-on experience building and running NGS analysis pipelines. • Fiercely self-motivated—you don’t wait for perfect specs, you ask good questions and get moving, taking ownership of complex problems and driving them to resolution. • Excellent troubleshooting skills—you’re the person others come to when things break. • Versatile and adaptable—you’re comfortable wearing multiple hats, juggling priorities, and switching contexts or projects quickly without losing momentum. • Strong programming and scripting skills (Python preferred; R, Java, or bash also valued). • Strong command-line experience. • Experience with workflow languages like WDL, CWL, Nextflow, or Snakemake. • Familiarity with cloud computing (GCP, AWS, or Azure) or HPC environments. • Strong grasp of genomics file formats and tools • Experience performing ETL tasks; experience interacting with databases • Strong interpersonal and communication skills—able to translate between technical and scientific worlds. • Strong understanding and experience investigating the genetics of disease. • Strong exploratory data analysis and visualization skills for complex datasets, with a keen ability to translate observations into actionable recommendations.

🏖️ Benefits

• Remote-friendly with flexible hours • High impact work • Three weeks vacation • Unlimited sick days • Competitive benefits package • Career development and learning support