About the Role:

We are seeking a highly skilled and motivated Genomics Bioinformatician to join our team. The ideal candidate will have extensive experience handling large-scale genomic datasets, developing and implementing bioinformatic pipelines, and leveraging the latest in open-source tools and methods to derive high-quality insights. You will play a key role in processing, analyzing, and interpreting complex sequencing data, with a particular focus on metagenomic and microbiome samples from diverse environments.

Key Responsibilities / Requirements:

• Process and analyze genomic datasets, with hands-on experience managing hundreds to thousands of samples.
• Familiarity with microbial or metagenomic samples (processing hundreds to thousands) and human genomic datasets (processing thousands to tens of thousands of samples).
• Manage and manipulate raw data, beyond simply downloading public datasets.
• Develop and implement strategies for tracking and maintaining metadata integrity at the raw data level, ensuring every datapoint is accounted for and properly processed.
• Design, implement, and refine complex bioinformatics pipelines, leveraging modern workflow languages (such as Snakemake, Nextflow, or WDL).
• Keep abreast of the latest open-source tools, continuously benchmarking and optimizing pipeline components to ensure efficiency and accuracy at each analytical step.
• Environmental Metagenomics and Microbiome Analysis: Analyze environmental metagenomic and microbiome samples, handling diverse microbial communities rather than isolated organisms.
• Apply robust classification and annotation techniques, incorporating the most suitable methodologies for analyzing mixed and complex microbial populations.
• Population and Metagenomic Sequencing Data Expertise
• Develop and apply advanced methods for analyzing population-level and metagenomic sequencing data.
• Design workflows that consider population structure, diversity, and ecological relationships within sequencing datasets.
• Apply novel deep learning methods to enhance metagenomic analyses, utilizing machine learning approaches to improve data interpretation and predictive insights (preferred but not required).

Qualifications:

• Master’s or PhD in Bioinformatics, Genomics, Computer Science, or a related field.
• Proven experience in managing and processing large-scale genomic data.
• Proficiency in workflow languages (e.g., Nextflow, Snakemake, WDL) and programming languages commonly used in bioinformatics (e.g., Python, R).
• Strong background in environmental metagenomics, microbiome studies, and/or population sequencing data.
• Knowledge of machine learning, particularly deep learning methodologies applied to metagenomic data, is a significant plus.

This is an exciting opportunity to join a forward-thinking team dedicated to advancing genomic research through innovative bioinformatics solutions. You’ll work at the cutting edge of genomics and computational biology, contributing to impactful projects in metagenomics and environmental microbiome research.

Please submit your resume, detailing your relevant experience, and any relevant publications or projects. We look forward to discovering how your expertise can drive our mission forward!