Bioinformatician I (Dr. Rodriguez’s Lab) - Microbiology

The Rodriguez Lab investigates how the human genome and epigenome shape the adaptive immune system, focusing on their impact on antibody responses during infections, vaccination, and autoimmunity. Leveraging large-scale biobank datasets, we explore the genetic factors underlying disease susceptibility linked to antibody genes. Our research also includes in-depth molecular and cellular analyses to uncover the genetic basis of antibody responses to pathogens. To advance this work, we develop cutting-edge bioinformatics tools, including pangenome and personalized genome analyses, moving beyond traditional reference-based approaches. These approaches are necessary due to the highly polymorphic nature (for example structural variant hotspots) of immune loci.

Our research employs a diverse array of omics technologies, such as long-read sequencing (PacBio and Oxford Nanopore), short-read sequencing, ATAC-seq, Hi-C, BCR-sequencing, and ChIP-seq.

We are currently seeking a bioinformatician to lead and contribute to innovative projects in this exciting field.

• Conduct comprehensive computational analyses of diverse '-omic' datasets to support research objectives.
• Develop high-quality data visualizations and analyses for use in presentations, manuscripts, and publications.
• Contribute to the design, implementation, and optimization of novel software tools for processing, analyzing, and visualizing high-throughput sequencing data.
• May give presentations both inside and outside of the institution.
• Other related duties as assigned.

• Bachelor’s degree in Biological Sciences, Bioinformatics, Computer Science, Statistics, or a related field is required. Master’s degree in Bioinformatics, Computational Biology, Genomics, or a related discipline is preferred. M.S. preferred
• 3 years experience required
• Proficiency in Python, Bash, and Unix/Linux environments.
• Hands-on experience with the analysis of high-throughput sequencing data, such as BCR-seq, ATAC-seq, ChIP-seq, or long-read sequencing.
• Familiarity with genome or epigenome data analysis.
• Experience in developing or applying bioinformatics tools for large-scale genomic datasets.
• Preferred BioBank experience.

Strength Through Diversity

The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by:  

• Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential.
• Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination.
• Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers.

At Mount Sinai, our leaders strive to learn, empower others, and embrace change to further advance equity and improve the well-being of staff, patients, and the organization.  We expect our leaders to embrace anti-racism, create a collaborative and respectful environment, and constructively disrupt the status quo to improve the system and enhance care for our patients. We work hard to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to advance professionally.

 Explore more about this opportunity and how you can help us write a new chapter in our history!

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