Bioinformatics Analyst I - Sun Lab

University of Rochester•City of Rochester, NY

1d•$63,815 - $95,723•Onsite

About The Position

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive. This role contributes to the computational analysis of data generated across multiple research projects in the Sun lab, with a focus on cancer evolution, tumor immunology, transposable element biology, and multi-omics data integration. The Bioinformatics Analyst will develop, maintain, and apply bioinformatic pipelines for bulk and single cells RNA sequencing, spatial transcriptomics, epigenetic profiling, epigenomic profiling, proteomics, and genomic analysis. Responsibilities include performing data processing, quality control, statistical modeling, machine learning, and integrative analysis to identify biologically meaningful patterns and generate testable hypotheses. The role involves close collaboration with experimental researchers to design studies, interpret results, and support manuscript and grant preparation. Additionally, the position contributes to the development of reproducible computational workflows, data visualization tools, and laboratory data-management infrastructure while helping establish and expand the laboratory’s computational research capabilities.

Requirements

Bachelor’s degree required
1 year of relevant experience required or equivalent combination of education and experience required
Experience with genomics and bioinformatics in a clinical laboratory including setting up, testing and maintaining bioinformatics workflows required
Demonstrated ability to achieve results in a deadline driven environment with multiple priorities and multiple stakeholders required
Ability to learn and deliver work to audience with varied backgrounds required
Experience/proficiency with python/java/C++/R, bash scripting, statistical programming using R or related tools, web-development, pipeline development, and database query SRA downloading and ability to prototype software solutions for data analysis and use of next generation sequencing tools such as STAR(solo), TopHat, DeSeq, BWA, GATK, minimap2 and others required.

Nice To Haves

Master degree preferred

Responsibilities

Contributes to computational analysis of data generated across multiple research projects in the Sun lab, with a focus on cancer evolution, tumor immunology, transposable element biology, and multi-omics data integration.
Develops, maintains, and applies bioinformatic pipelines for bulk and single cells RNA sequencing, spatial transcriptomics , epigenetic profiling, epigenomic profiling, proteomics, and genomic analysis.
Perform data processing, quality control, statistical modeling, machine learning, and integrative analysis to identify biologically meaningful patterns and generate testable hypotheses.
Collaborate closely with experimental researcher to design studies, interpret results, and support manuscript and grant preparation.
Contributes to the development of reproducible computational workflows, data visualization tools, and laboratory data-management infrastructure while helping establish and expand the laboratory’s computational research capabilities.
Responsible for the preparation, maintenance, curation, and analysis of data from high-throughput sequencing (HTS) projects and other projects that generate and complement genomic data.
Contributes to the design and interpretation of experimental projects and results.
Prepares data and reports for discussion, use and interpretation by investigators.
Performs computational analysis include but not limited to statistical test, machine learning, and mathematical modeling.
Prepares reports, presents findings in both oral presentation and paper writing.
Provides standard bioinformatics analyses, such as unsupervised clustering, differential expression, and data visualization, as well as applying more sophisticated algorithms for inference of cell state, gene regulatory networks, and cell-cell interactions.
Completes maintenance of computational pipelines, data management, and sharing, consulting with researchers on analytical methods and carrying out custom bioinformatics projects.
Other duties as assigned.