Bioinformatics Data Engineer - Open to Remote

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Requirements:

• Fluency with data manipulation and processing in Python, R, and SQL (e.g., dplyr and pandas).
• Experience managing and working with large datasets in the cloud (AWS and/or GCP).
• Familiarity with cloud database solutions and emerging technologies (e.g., Athena, BigQuery, tileDB).
• Familiarity with containers (Docker, Singularity) and workflow managers (Nextflow, WDL, CWL).
• Bioinformatics experience, including working with common genetic and genomics data formats (e.g., BAM, FASTQ, VCF).
• Excitement about generative AI and interest in employing AI to change how science happens.

Responsibilities:

• Be foundational in the development of the roadmap for scalable, efficient, and future-proof data and bioinformatics infrastructure.
• Collaborate with technical teams (Data, AI, Platform) to develop data solutions for improved performance and access.
• Implement new and improve existing data processing pipelines with an emphasis on automation and robustness.