Senior Bioinformatics Analyst

Summary

Join DNAstack, a company focused on precision medicine through software development, as a Senior Bioinformatics Analyst for a 12-month contract. You will be responsible for developing, optimizing, and maintaining genomic pipelines, managing data submissions, ensuring quality control, and supporting releases. Collaborate with research and clinical partners, applying your -omics analysis and genomics knowledge to deliver reproducible, scalable pipelines. Contribute to key project initiatives, develop impactful tools, and drive project success. Work independently and with partners to handle various types of -omics data, develop and maintain metadata schema, facilitate data submission processes, perform software release testing, and design pipelines using WDL, Docker, and cloud-based infrastructure. Evaluate analysis methods, communicate results to stakeholders, stay updated on genomics methods, and contribute to open-source initiatives. This role requires a PhD in a related field or equivalent experience, a strong research background in neuroscience, and 4+ years of experience building NGS analysis pipelines.

Requirements

• PhD in bioinformatics, computational biology, biostatistics, or a related field—or equivalent industry experience
• Strong research background in neuroscience or neurological disorders
• 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 or Java also valued)
• Strong command-line and shell experience
• Experience with workflow languages like WDL, CWL, Nextflow, or Snakemake
• Experience with containerization tools such as Docker or Singularity to ensure reproducible and portable pipelines
• Familiarity with cloud computing (GCP, AWS, or Azure) or HPC environments
• Strong grasp of genomics file formats and tools (e.g., BAM, VCF, FASTQ)
• Strong interpersonal and communication skills, with the ability to bridge technical and scientific domains and collaborate effectively with external stakeholders, partners, and cross-functional teams
• 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

Responsibilities

• Collaborate with partners in academia and industry to develop pipelines for handling various types of -omics data (e.g., genomics, transcriptomics, proteomics, metabolomics, etc.)
• Develop and maintain metadata schema to ensure consistency across various datasets and proper integration
• Facilitate and manage a highly collaborative data submission process with partners, ensuring metadata consistency and data harmonization across submissions
• Perform testing and validation for software releases in accordance with established governance and quality assurance processes
• 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, Seurat, Scanpy, scvi-tools, etc.)
• Communicate complex bioinformatics results and methodologies clearly to technical and non-technical stakeholders
• Stay current with new methods and standards in genomics and participate in open-source initiatives

Benefits

• Flexible hours and remote-friendly culture
• Competitive salary
• Opportunity to contribute to open science and global data-sharing efforts